Chatbots, IoT and VR, Oh My: A Look Ahead at Tech in Real Estate        
Technology in the real estate industry doesn’t start and stop with the computer and smartphone. Regardless of your role in the real estate transaction, you can no longer afford to dismiss the impact of technology in the home buying process. Technology in real estate is designed to improve the end-to-end experience for home buyers and …Read more
          ä¸å®šæœŸML&NLPå ±#1        

先日、社内で定期的に行なわれているフロントエンド会にお邪魔してきました(podcastが配信されています)。jser.infoというサイトを参照しながら雑談していたのですが、最近のフロントエンドの動向を知るという目的にはこのサイトなかなかよさそうでした。

機械学習勉強会でもランチタイムに最近の話題を見ながら雑談しているのですが、ネタになるエントリ一覧とそれに対するコメントは社外に公開して別に問題ないなと思ったので、不定期報という形で出してみることにしました。自然言語処理も自分がカバーできる範囲限られているし、自然言語処理以外の機械学習の話はかなりカバーできないので、たれこみフォームも作りました。耳寄りな情報、お待ちしております:)

論文

ブログ/勉強会資料

ビジネス

学会/勉強会

Coling2016

今年は大阪で開催。

NIPS2016

NL研(第229回自然言語処理研究会)

(2) [NLC] ゲーミフィケーションを利用した効率的な対話ログ収集の試み
○叶内 晨・小町 守(首都大東京)

データが集まると学習する方法はいくらでも出てきているので、データをどうやって効率よく集めていくのかというところに興味がある。

(5) [NL] 雑談対話システムの話題遷移における自然性の自動評価
○豊嶋章宏(NAIST)・杉山弘晃(NTT)・吉野幸一郎・中村 哲(NAIST)

(20) [NL] 14:30 – 15:00
単語分散表現を用いた単語アライメントによる日英機械翻訳の自動評価尺度
○松尾潤樹・小町 守(首都大)・須藤克仁(NTT)

データ収集と合わせて解析系でないタスクの評価は今後ホットなタスクになると思ってます。

(15) [NL] 17:25 – 17:55
単語分かち書き用辞書生成システム NEologd の運用 — 文書分類を例にして —
○佐藤敏紀・橋本泰一(LINE)・奥村 学(東工大)

最近各地で使われることが多くなってきたNEologdの話もあった。

言語処理学会2017

チュートリアルとテーマセッション、ワークショップの内容も出ていました。

クラウドソーシング
馬場 雪乃 先生(京都大学)
ニューラル機械翻訳
中澤 敏明 先生 (JST)
Universal Dependencies
金山 博 先生(日本IBM東京基礎研究所)
田中 貴秋 先生(NTTコミュニケーション科学基礎研究所)
認知言語学
西村 義樹 先生(東京大学)

ニューラル機械翻訳とUniversal Dependenciesが特に気になっている。

IM飲み2016

その他


          What the future will look like when we use chatbots instead of apps        

The first thing I do every morning on my phone is search through a SproutSocial feed. I’ve been using the app for years, but it can be a bit tedious. I flick through the same monotonous retweets generated by people who have automated their own feeds. I look for new followers and check a few […]


          If Facebook is building a WeChat clone, it could face big problems        

Facebook’s Messenger client runs on mobile devices, has built-in chatbots, and could support native ads. Sound familiar? Maybe the monolith of social media is building a WeChat clone after all. There’s been a steady proliferation of mobile users in places like Japan and Singapore, and the apps (most notably WeChat) tend to be a constant companion. Users […]


          Chatbot AL-ML by robin9111        
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          Social Daddy- Social Media Marketing Software        
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          Chatbots Can't Fully Replace Humans Just Yet        
Great customer experience will rely on leveraging chatbots for their strengths.
          Can uniformity and contrast both be true?        
[+2] Question by Thomas33 on 07/14/16 12:45 PM Replies: 19 Views: 1,910
Tags: Riddles, Science, Philosophy, Logic, Chatbot
Last Post by George on 08/27/16 7:44 AM
          What makes a great chatbot? Laser focus on customers        

Fewer technologies have garnered more attention over the past year than chatbots, those virtual assistants that mimic human speech while facilitating tasks on behalf of humans, typically via a conversational messaging interface. At a time when software is driving unprecedented levels of automation, companies are using chatbots to help customers order anything from food to office supplies to additional computing capacity.

Chatbots are a big reason why corporate adoption of cognitive systems and AI will drive worldwide revenues from nearly $8 billion in 2016 to more than $47 billion in 2020, according to IDC. But what exactly makes a great chatbot? Perhaps more importantly given enterprises' investments in such tools, what makes a bad one? What precautions should CIOs take in building them?

To read this article in full or to leave a comment, please click here


          Should Your Brand’s Chatbot Have A Character?        
Why brands are doing their best to create personas over products. We’re living in a screen-obsessed world, spending on average
          Are chatbots going to revolutionise customer service?        

Chatbots are the latest thing in voice recognition technology and it is becoming clear that they are now set to take the world of customer service and...

The post Are chatbots going to revolutionise customer service? appeared first on Zeta.


          Top 2017 Social Media Trends         
By Caitlan McCafferty

Whether your business is already firmly established on social media, or whether you are just getting started, social media should be a top consideration for your B2B marketing plan for 2017. Here are some of the most important social media trends to consider in your social media marketing planning for this upcoming year.

1. Live Video

Social media users are increasingly interested in vicarious experiences. People don’t want to just see what their friends are doing, they want to feel like they’re there with them.

Snapchat’s success and popularity has encouraged other social media companies to incorporate live video into their platforms. Snapchat is likely to grow in 2017, with increased messaging services and real world glasses that capture a user’s world view.  Facebook and Twitter have also incorporated livestreaming into their platforms with Facebook Live and Periscope, respectively.

Due to the increasing popularity of the feature, brands should consider incorporating livestreaming into their social media marketing to reach their target audiences. Livestreaming would be a perfect social media tool to engage with your audience about grand openings, customer appreciation events, or product announcements.

2. Employee Ambassadors 

With LinkedIn’s Pulse feature, employees can be brand ambassadors for their companies. Ryan Holmes, Founder and CEO of Hootsuite, suggests motivating employees to post about the company on a regular basis. Employers should make it simple to share and allow the employee to edit the post to suit their audience.

Employee advocacy is digital "word of mouth" that allows a company’s brand and message to reach more people, with no cost to them. If the content is shared by the employees, the content then can be shared by the employee’s network, building an enthusiastic, engaged audience for your brand.


3. Facebook and Targeted Ads

Facebook’s audience is changing rapidly. It is no longer the favored social media platform for millennials. A survey from 2016 found that 41 percent of millennials still use Facebook every day, but Facebook is more popular among non-millennials. Simultaneously, Facebook has changed its algorithm making it more difficult to build an audience organically.

In 2017, targeted advertising will be the best way to push your message to an audience. The change in the algorithm might seem disappointing, but targeted ads provide better analytics to understand the ROI of a communications campaign.


4. Influencer Marketing 

EMarketer predicts that digital advertising will surpass TV advertising in 2017. With this new development, companies have more opportunities for Influencer Marketing.

A survey found that 47 percent of consumers block advertisements, so influencers are becoming the best way for brands to reach an audience. Influencers have established credibility with their audiences, and now they are using that credibility to vouch for a company’s brand. Using their own personal brand and voice as support, influencers can bring increased visibility and awareness for a given brand.

5. Chatbots for Customer Service  

Similar to the Influencer Marketing trend, consumers are craving a personal connection with their favorite brands. A way to service that connection is Chatbots for customer service.

With the evolution of messaging services with each social media platform, and the popularity of Chatbots like Slack and Skype, customers are interested in more conversational experiences.  This allows marketers to engage with their consumers on a regular basis. "Conversational Commerce" will only grow in 2017, and it will allow brands to provide their audiences an easier way to access their products and services.

The preferred social media platform for any given audience continues to evolve, but one thing remains consistent: consumers want brands that are easily accessible and personable. Incorporating these trends into your 2017 social media strategy will ensure that your brand stays ahead of that changing landscape.


          Chatbot Integration        
Compatibility
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A amazing Chatbot Integration for Telegram and Facebook Messenger. Make your store part of this new trend!

Magento Connect

          Deux chatbots chinois auraient été désactivés et reconditionnés, après avoir manqué de faire preuve de patriotisme        
Deux chatbots chinois auraient été désactivés et reconditionnés,
après avoir manqué de faire preuve de patriotisme

Deux chatbots chinois ont été désactivés et reconditionnés après avoir manqué de faire preuve de patriotisme. Les deux chatbots conversationnels, BabyQ et XiaoBing, qui étaient installés sur l'application de messagerie de Tencent, QQ, ont été retirés après que des utilisateurs ont posté des captures d'écran de leurs conversations avec les chatbots.

L'un des bots, baptisé BabyQ et développé...
          Data, AI & Algorithm based Innovation: Chatbots to boost more and more personalized UX        

During the Copenhagen Money 20/20 event, the top European meeting in Fintech, “data” issue is certainly on the agenda. Startup and consolidated companies have launched or are being set up to launch data-identification, data collection and management initiatives in order to build personalized experiences in a relationship with a company or a brand. In particular, … Continue reading Data, AI & Algorithm based Innovation: Chatbots to boost more and more personalized UX

L'articolo Data, AI & Algorithm based Innovation: Chatbots to boost more and more personalized UX sembra essere il primo su Ubiquity.


          2017 Will Be the Year Of Chatbots for IT Operations        
IT operations continues to grow more complex every year. The IT daily challenges that organizations face are increasing, while the staff needed to resolve these issues is decreasing. The massive...

[[ This is a content summary only. Click on the blog title to continue reading this post! ]]

          We Need to Talk About the Power of AI to Manipulate Humans        
Our tendency to become emotionally attached to chatbots could be exploited by companies seeking a profit.
          How and Why (or Why Not) to Build a Chatbot        

Are you ready for the visitors of tomorrow? Will your customers be able to get superior answers to their questions with your content? If you’re not using – or at least investigating – chatbots, your enterprise may not be ready. Continue reading

The post How and Why (or Why Not) to Build a Chatbot appeared first on Content Marketing Institute.


          What is a chatbot and should you care? All you need to know.        
You may think you know what a chatbot is and have dismissed them as a gimmick. But they might be worth another look.
          Facebook Catches Two Chatbots Speaking Their Own Language        

Facebook catches two AI chatbots talking in their own strange language.



Read More
          The Future of Business is a Digital Spokesperson — Let’s Build a Preview Using Microsoft’s Bot Framework        
Everyone loves a great conversation. And the conversational U.I. is coming on quickly. Chatbots have been all the rage for the past…
          Le robot du whatsapp chinois dit qu’il n’aime pas le parti communiste, il est débranché        

Des utilisateurs se sont semble-t-il amusés à piéger le chatbot, en lui apprenant à ne pas être très patriotique. TECHNO – En Chine, il ne fait pas bon critiquer le Parti communiste. Alors quand en plus, vous n’êtes même pas...
Savoir plus

Cet article Le robot du whatsapp chinois dit qu’il n’aime pas le parti communiste, il est débranché est apparu en premier sur Anguille sous roche.


          Chatbots : quelles applications à l’immobilier ?        

Chatbots : quelles applications à l’immobilier ? Inconnus au bataillon il n’y a pas si longtemps, les chatbots explosent sur […]

Cet article Chatbots : quelles applications à l’immobilier ? est apparu en premier sur AVendreALouer.fr - Pages offres.


          Future Tense Newsletter: Robots Aren’t Poets, but They Don’t Know It        

Greetings, Future Tensers,

When talk of artificial intelligence and automation dominate our discussions about the future of work, it can be good to step back and remind ourselves robots, in fact, can’t do everything. For instance, Grace Bellenger reports that while A.I. has managed to reproduce the structure of poetry, it fails to capture the genre’s nuance. Another thing it isn’t great at? Making us less depressed. Woebot, a chatbot on Facebook designed to provide therapy-like conversation, recently made a splash as the first peer-reviewed technology of its type. But despite the hype, the bot didn’t actually do much to decrease anxiety and depression for users. Ciarán Mc Mahon explains what the results actually show—and the role these kinds of apps can play in mental health care.

And while they might be intelligent, robots still need coordination. Take the recent case of a security robot that fell into a fountain outside of the D.C. office it was bought to protect. While the incident lent itself to some fun, dark online humor, it was also a reminder that robots aren’t always mechanically equipped to navigate a world designed for humans.

Other things we learned this week in between sending our friends puke emojis over internet service providers’ reactions to calls for net neutrality.

  • A Comic Sans of errors: The next time your co-workers get annoyed at you for obsessing over fonts, send them this story of how a font is making a bad scandal worse for Pakistan Prime Minister Nawaz Sharif and his family.
  • E.T., hit snooze: Wondering why it’s 2017 and we still haven’t made contact with aliens? A new paper proposes that our extraterrestrial neighbors are hibernating and don’t want to waste their energy on answering our messages.
  • There are robots with bigger hearts: The Trump administration finally gave an Afghan girls’ robotics team a pass and allowed them into the country for an international competition. Future Tense’s Torie Bosch explains why we shouldn’t give his intolerance a pass.
  • Stalker-chat: Adults aren’t the only ones alarmed by Snapchat’s new map feature. Two teens explain why they think it’s creepy, too.
  • Lost in translation: As companies like Amazon and Tinder scramble for a piece of the 355 million user Indian internet market, they must also figure out how to tailor content for new audiences. Meeran Karim reports on why tech giants are pre-emptively censoring their products before the government gets involved.

Still definitely not a robot,
Tonya Riley

Future Tense is a partnership of Slate, New America, and Arizona State University


          What the Research Really Suggests About That Facebook Chatbot Therapist        

Using social media can be a little like a free—albeit not very effective—therapy session. People share life events, complain about their problems and offer each another advice, along with lots of FOMO, rants, and vaguebooking.

So Woebot—a chatbot engaging in therapy-like services via Facebook Messenger—seems intriguing. The idea is to help you understand and monitor your moods using a combination of natural language processing and therapeutic expertise. Sounds good, right? Using A.I. via social media to significantly reduce psychological problems like anxiety and depression would be quite a breakthrough. But there are some major hurdles to overcome.

Like the rest of the health care sector all across the world, mental health treatment is in crisis. Therapy and counseling are incredibly labor-intensive, requiring multiple sessions with one expert per client over long periods of time to achieve even modest results. As such, this is an area ripe for Silicon Valley-style disruption—using technology to scale a competitor service to a bigger audience at a lower cost. In the past year, we’ve seen ample evidence of this happening. Ever since Facebook opened its Messenger platform to developers, there’s been an explosion of chatbots, and several of them are explicitly marketed as mental health tools.

Woebot, built by a Stanford team, is one of the first to be scrutinized under empirical research and peer review, and the results were published in the Journal of Medical Internet Research (Mental Health) on June 6. From a flyer posted online, researchers were able to recruit a convenience sample of about 70 participants, mostly white women. While it would be easy to criticize such a lopsided sample, it’s more important to note that at baseline, more than 75 percent scored in the severe range for anxiety symptoms. These people are vulnerable and in need of care and protection.

Participants were randomly assigned to either interacting with the bot (test condition) or were directed to self-help resources (control condition). Before beginning the treatment, Woebot first introduced participants in the test condition to the concepts of cognitive behavioral therapy, which is a type of psychotherapy that encourages clients to restructure their thinking patterns to try to improve their moods. Then Woebot gathered mood data by asking general questions and replied with appropriate empathetic responses. For example, if a participant expressed loneliness, Woebot would reply with something like, “I’m so sorry you’re feeling lonely. I guess we all feel a little lonely sometimes.” (Here’s an example of a Woebot interaction.) Its conversational style also included CBT techniques such as goal-setting and reflecting participants’ mood trends back to them. If a participant reported clinical-level problems like suicide or self-harm, he or she was directed to emergency helplines.

After about two weeks, participants once again completed measures of depressive/anxious symptoms, and positive/negative mood. The study’s lead author said that she was “blown away” by the data, but compared with baseline, no significant between-group differences were observed in terms of anxiety, positive mood, or negative mood. Only on reported depressive symptoms were any significant results achieved. In other words, being assigned to Woebot instead of self-help material made no difference to participants’ mood or anxiety levels.

To be frank, these results aren’t much to write home about. But at the same time, in these times of extraordinarily dysfunction in health care provision, any work that tries to alleviate mental health suffering should be welcomed, if cautiously. While Woebot might not be a cure-all right now, as the authors of the study say, for the 10 million U.S. college students suffering from anxiety and depression, it has the potential to become a useful mental health resource.

However, there’s another wrinkle here, one the study authors don’t mention in their write-up. Because Woebot is built on Messenger, participants’ data is shared not only with the Woebot operators, but with Facebook, too.

Facebook came under fire earlier this year when it was accused of helping advertisers target teenagers by their emotional state—an accusation it strenuously denied. In comment to Slate, Facebook confirmed that it does not offer tools to target ads to people based on their emotional state. Moreover, Facebook also said that it does not target any type of advertising based on the content of Messenger conversations. So, if you use Woebot, you should not receive targeted ads based on the deeply sensitive data you share with it, and hence Facebook. So far, so good.

However, Facebook could not confirm that it had no plans to do so in the future. Of course, Facebook never comments on future product developments, so this is unsurprising, and it doesn’t necessarily mean anything nefarious is in the works. But at the same time, this policy could change, and certainly Facebook has done so in the past. Note, for example, the $122 million fine thrown at Facebook by the European Commission for combining its data with data from WhatsApp—something that it said it “couldn’t” do when it first purchased WhatsApp.

Fundamentally, the social media industry is largely self-regulated, and as a result, so are therapeutic bots like Woebot. Even if they are minimally effective, the people using them are clearly vulnerable and deserve to have their most sensitive information secured indefinitely. Our mental health crisis is not going any time soon, and government and the tech industry have profound responsibilities here. As therapy and counseling are disrupted, we need to make this emerging field safe and secure for all of us.


          Dead Interviews, ed. Dan Crowe – review        
Douglas Coupland chats to Warhol while Rebecca Miller sneaks into de Sade's prison cell in Dan Crowe's clever compilation of imagined interviews with the dead by living writers

Alive, writers are already ghosts, disembodied voices in our heads; during their afterlives, they go on speaking to us from beyond the grave. This odd, immaterial relationship has given Dan Crowe the clever idea of organising colloquies that cross the gap between life and death. "We all talk to the dead," says Crowe. Yes, of course we do: the seance is called reading.

Crowe's contemporary interviewers use various methods to make contact with their defunct interviewees. Rebecca Miller inveigles herself into the Marquis de Sade's prison cell with the aid of a time travel app, and Rick Moody questions a simulated Jimi Hendrix who has been loaded into a chatbot. Cynthia Ozick outsmarts Henry James by concealing a tape recorder in her tote bag: the contrivance makes her an up-to-date version of the "publishing scoundrel" who ransacks the secrets of a dead poet in James's The Aspern Papers. Ian Rankin relies on the older and more occult technology of the ouija board to reach Conan Doyle, who is drifting vacantly through what he calls the "hereafter".

Continue reading...
          Arquitecto CHATBOT - Indes Software - Madrid        
Indes Software precisa incorporar a su equipo de profesionales el siguiente perfil: Arquitecto CHATBOT que tenga experiencia en las siguientes tecnologías, Tareas: Arquitecto con altos skills tecnicos en plataformas de NLP, chatbot framewoks... Definir el framework para la creación de chatbots partiendo del análisis de las soluciones actuales del grupo Santander. Para ello deberá hacer PoT de alternativas. Elaborar documentación, presentar posibles estrategias... ...
          Commentaires sur Chatbots : un nouveau canal pour la relation client par Georges        
Totalement d'accord avec vous. Je trouve que cet outils est d'une grande utilité dans l'optimisation de la visibilité d'un site web en matière de référencement.
          Commentaires sur Chatbots : un nouveau canal pour la relation client par Arnaud        
Point de vue partagé. Je pense que les chabot sont plus utilisé actuellement pour booster le domaine de la relation client et ça c'est grâce aux progrès de l'informatique.
          Chatbots provide faster self-service on SAP systems        
The SAP SuccessFactors partnership with collaboration software vendor Slack is just one of many efforts to make little robotic helpers available throughout the SAP ecosystem.
          4 Types of Advanced Computing Powers        

With advances in computing power – including machines learning, natural networks, natural language processing, genetic algorithms and computational creativity, to just a few – it increasingly seems likely that artificial allegiance is evolving from simple to self-aware machines. Here is a look at where A.I. is now, and the prospect of what it may become. 1. TYPE I Purely Reactive This is the most basic form of A.I. It perceives its environment/situation directly and acts on what it sees. It can’t form memories or draw on past experience to affect current decisions. It specialized only in one area. Examples: IBM’s Deep Blue which beat Kasparov at chess, Google’s AlphaGo which triumphed over human Go champions. 2. TYPE II Limited Memory Future up on the A.I. evolutionary ladder: this type considers pieces of past information and adds them to its programmed representation of the world. It has just enough memory or experience to make proper decisions and execute appropriate action. Examples: Self-driving vehicles, Chatbots, personal digital assistants 3. TYPE III Theory Of Mind Type III A.I. …

The post 4 Types of Advanced Computing Powers appeared first on Listographer.


          Kommentar zu Gedankenspiel „Gastgeber-Chatbot“ – mit ungeahnten Folgen von Annkathrin        
Hi Basti, worauf warten wir noch? Kurz die ersten groben Schnittstellen festlegen und los geht’s! :) Zuerst mal könnte man überlegen, nach welchen groben Kategorien man das Lernmaterial einteilen möchte: Experten-Level, Material-Typ (Online-Tutorial, Pod-Cast, PPT, Video, ….) Branche, Thema, Region etc. Darauf abgestimmt könnten dann auch die passenden Quellen automatisiert angebunden werden, sodass die Lerninhalte nicht zunächst manuell gesammelt werden müssen -> spart Zeit, auch wenn dann natürlich die Qualität der Inhalte eine weitere Herausforderung darstellt (wobei gewisse Stellschrauben existieren). Einen ersten Chatbot und das dazu „passende“ Alexa-Skill aufzusetzen ist ja kein Hexenwerk, damit haben wir schon ein wenig Erfahrung :) Erst überlegt man sich die „Intents“, also die Funktionen, die der Bot haben soll. Soll er die oben genannten Kategorien abfragen können, soll er auch selbst Vorschläge machen usw. Daraus ergibt sich dann der Dialog-Flow, den man in dem entsprechenden Bot-Framework implementiert. Wir haben eine ähnliche Lösung schon mal für eine Verbundgruppe im Fachhandel umgesetzt. Zum einen gab es ein Skill für die Alexa in der Filiale (Audio). Dort können die Kunden Fragen zu bestimmten Artikeln stellen (z.B. wo befindet sich der Artikel, sind bestimmte Größen vorrätig), sich über Aktionen und Angebote informieren usw. Zum anderen haben wir einen Chatbot für den Webshop konzipiert, der die Kunden beim Einkauf berät und ihnen bei der Suche assistiert. Würde sich auch wunderbar auf den potentiellen Gast einer Destination übertragen lassen… Wir können uns ja gerne mal näher darüber austauschen, das Thema Chatbot beschäftigt uns immer wieder. Liebe Grüße Anni
          Kommentar zu eLearning: Von Hennen, Eiern und Axiomen von Gedankenspiel „Gastgeber-Chatbot“ – mit ungeahnten Folgen » Tourismuszukunft        
[…] Okay, „getan“ wäre jetzt ein wenig übertrieben, aber befasst habe ich mich doch ein wenig mit dem Gedanken. Was braucht es für ein „Gastgeberhelferchen“, das auch wirklich funktioniert? Ganz generell gelten sicher, wie überall, die üblichen Regeln und Schwierigkeiten, die ich ja vor Kurzem erläutert habe. […]
          #44: 发布会太无聊了,我们来聊聊 SHENZHEN I/O        

两人评论但并不仅评论了十月廿七的苹果发布会,之后介绍了两款编程游戏。

《内核恐慌》网站:https://kernelpanic.fm ,捐款地址:https://kernelpanic.fm/donate

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          Is the Enterprise MoNage-Ready?        
During the past two months, I’ve spoken at four industry events – and attended four others – with a common theme being the impact of chatbots and AI on the workplace. The innovations I’m seeing are exciting, but the business value is hard to gauge, and it’s fair to ask if enterprises are ready for what’s coming. To help do that, I’m going to share my thoughts about the intersection of collaboration and AI for two sides of any business – internally for driving employee engagement, and externally for driving customer engagement.
          Oracle Named a Leader in 2017 Analyst Evaluation for Digital Process Automation Software        
Press Release

Oracle Named a Leader in 2017 Analyst Evaluation for Digital Process Automation Software

Oracle positioned as a leader and selected for evaluation based on proven customer adoption, strong go-to-market strategy, and breadth of capabilities

Redwood Shores, Calif.—Jul 18, 2017


Oracle today announced it has been named a leader in the Forrester Wave™ Digital Process Automation (DPA) Software report. This placement confirms leadership for Oracle Process Cloud, which is part of Oracle Cloud Platform.

“By delivering comprehensive process automation capabilities such as no- and low-code process design, case management and simplified connections to SaaS, Social, Cloud and on-premise systems, Oracle provides customers with a powerful option to continuously deliver engaging customer, employee, and partner experiences at every stage in their business transformation journey,” said Vikas Anand, vice president, product management, Oracle. “Today business process automation augmented with intelligent machine learning is helping organizations drive best next actions and provide them with better, timely decision making capabilities.”

In Forrester's 30-criteria evaluation of DPA vendors, they evaluated 12 significant software providers. Oracle was cited as a leader with the highest possible scores in the low-code/no-code, smart forms and user experience, process flow and design, mobile engagement, API support, data virtualization, deployment options, and ease of implementation criteria.

Download Forrester’s Wave report for “Digital Process Automation Software, Q3 2017” here.

Oracle Process Cloud Service was built from the ground up for the cloud to provide enterprises of all sizes with the low-code app dev platform that they need to build business agility and control their digital destiny. With full lifecycle support for end-to-end process automation spanning departments, SaaS apps, and on-premises systems of record, Oracle Process Cloud Service empowers business analysts and process designers with the tools they need to rapidly deliver differentiating experiences in a collaborative manner. Oracle Process Cloud Service comes with Quick Start App templates and pre-built integrations to companion platform services including, Content Management, Integration, Mobile, Intelligent Bots, and IoT Apps, to enable rapid delivery of engaging experiences across channels and devices.

Customer Momentum

“Process automation is central to our integration strategy,” said Ravi Gade, senior director of apps IT and digital transformation, Calix. “Calix leverages Oracle Process Cloud to reduce IT backlog, ensure compliance, and simplify connections across our rapidly evolving SaaS and on-premises business systems.”

“Using a combination of Oracle Process Cloud Service and Oracle Application Builder Cloud Service along with the cloud-native best practices introduced by our partner, Rubicon Red, we have a comprehensive, integrated cloud platform that enables us to deliver innovative, modern solutions,” said Ryan Klose, general manager, corporate, National Pharmacies. “The Oracle Cloud Platform gives us flexibility to connect to all our core systems, and easily deliver to a range of user interfaces, whether they be online, mobile/tablet, devices/IoT, or emerging chatbot technology.” 

"Oracle Process Cloud Service has allowed us to dramatically shorten our time-to-market by up to 40 percent,” said Matt Wright, chief technology officer, Rubicon Red. “Oracle provides developers with immediate access to a full lifecycle process management environment—including development, test, and production—and enterprise-quality tooling, without needing to build and maintain an IT infrastructure.”

Additional information:


Contact Info
Nicole Maloney
Oracle
+1.415.235.4033
nicole.maloney@oracle.com
Sarah Fraser
Oracle
+1.650.743.0660
sarah.fraser@oracle.com
About Oracle

The Oracle Cloud offers complete SaaS application suites for ERP, HCM and CX, plus best-in-class database Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) from data centers throughout the Americas, Europe and Asia. For more information about Oracle (NYSE:ORCL), please visit us at www.oracle.com.

Trademarks

Oracle and Java are registered trademarks of Oracle and/or its affiliates. Other names may be trademarks of their respective owners.


Talk to a Press Contact

Nicole Maloney

  • +1.415.235.4033

Sarah Fraser

  • +1.650.743.0660

          Your Customers Don’t Want You To Act Like a Robot        

There’s a dark side and a beautiful future built around every new tool and technology that comes along. For all the brilliance of marketing automation, artificial intelligence, and chatbots, there are all kinds of ways to use these tools to alienate and upset your customers, as well. As with all pursuits, we have to look […]

The post Your Customers Don’t Want You To Act Like a Robot appeared first on chrisbrogan.com.


          New AI autoresponder instead of Pandora        
As you may know, SmartBots was using AI chatbots made by Pandorabots. Pandorabots was a free service at the beginning, but then they switched to a paid model (quite expensive as you may see). However, for several years the old-good free Pandorabot API was working along with a paid version, and our bots were using it. […]
          A discussion with Oracle on chatbots        
With+recent+advancements+in+machine+learning+and+the+convergence+of+compute+power+and+big+data+bring
          Comment on ModiFace Chatbot is a Conversational Beauty Advisor on Facebook Messenger by I don’t want to brag… but the terminator did my makeup | A day in the life of a marketing student        
[…] for consumers to go in-store, you can now sample makeup products no matter where you are. Simply send a message of the product  along with a selfie and the chatbot will show what the product looks like on you […]
          Chatbot produzido em Palmas é selecionado para o Inovativa Brasil        
Das startups selecionadas para a 1ª etapa, apenas duas são do estado do Tocantins O projeto Parlo, que é um Chatbot produzido por uma startup de Palmas, Tocantins, foi selecionado para o Inovativa Brasil, o maior programa de aceleração brasileiro. As escolhas dos projetos passam por duas etapas, na primeira foram inscritas 926 propostas e […]
          #Agrotins2017 – Feira agropecuária tem início e lança chatbot para informações        
Amanhã (09) começa a Agrotins, a Feira de Tecnologia Agropecuária do Tocantins, que é reconhecida como a 8ª do Brasil, e a maior feira de agronegócios da Região Norte do país. “Água, sustentabilidade da vida” é o tema desta 17ª edição, que acontece de 09 a 13 de maio de 2017, das 9 às 17h, no Centro […]
          Facebook Shuts Down AI Robots After They Invent Their Own Language        
CBS Local — Facebook has shut down a pair of artificial intelligence robots after they invented their own language. Earlier this year, the research team at Facebook Artificial Intelligence Research built a “chatbot” that was supposed to […]
          Persisting Data for a Smarter Chatbot        

In this article, I'll show you how to improve the Watson Recipe Chatbot by integrating Cloudant to cache 3rd party API calls, provide a personalized UX, and run analytics on interactions.

The post Persisting Data for a Smarter Chatbot appeared first on Watson Data Platform.


          Now Talk to ‘Doctors’ whenever You Feel Like with ‘Joy’         
At times, we all need a person to consult and give us suggestions relating to physical or mental health issues. Recently, Danny Freed invented Joy who is a chatbot for helping people suffering from any serious medical condition. Danny came up with this idea after one his very close friends committed suicide. The shock of losing a close friend, planted the seed to develop a technology that would aid people who are struggling with mental illness. What is Joy? Joy is a welcoming treat in the computerized age, where cell phone proprietors approach their own specialists and advisors at just a touch away. Satisfaction may give off an impression of being an advisor or a holistic mentor, yet the discussion with a chatbot that utilizes computerized reasoning and machine for figuring out how to track feelings and give psychological wellness a boost and all of these through Facebook Messenger is a technology worth appreciating. The founder, Danny said that he had the realization that all sorts of steps and data were taken into consideration for physical health, but there was nothing to track ones mental health. Joy is nothing like a clinical diagnosis tool and is more of a coach and friend. Freed was aware that his credibility might be questioned in the future regarding Joy, so he recruited a PhD student who specializes in counselling psychology and is also a proficient in mood disorders. Joy can be availed for free and people can consult it for mental wellness. 

Original Post Now Talk to ‘Doctors’ whenever You Feel Like with ‘Joy’ source Twease
          à¤­à¤¾à¤‡à¤¬à¤°à¤®à¤¾ हाम्रो पात्रोको च्याटबोट        
hamro-chatbot-for-viber

'हाम्रो पात्रो' भाइबरको पब्लिक एकाउण्टमा उपलब्ध भएसँगै, हाम्रोपात्रोले भाइबरमा भएका ब्रान्ड तथा सेलिब्रेटी लगायतका पब्लिक एकाउण्टहरुलाई लक्षित गरेर 'हाम्रो च्याटबोट' नामक 'च्याटबोट' सार्वजनिक गरेको छ । यसका साथै हाम्रोपात्रो एपमा उपलब्ध लगभग सबै सेवाहरु अब हाम्रो च्याटबोट मार्फत, 'हाम्रो पात्रो'को भाइबर एकाउण्टमा उपलब्ध छ ।

के हो हाम्रो च्याटबोट?
कुनै पनि ब्राण्ड तथा सेलिब्रेटिहरुले भार्इबरमा भएका आफ्ना फलोअरहरूसम्म सहज रूपमा पुग्न तथा दोहोरो सम्वाद गर्नका लागि हाम्रो पात्रोले बनाएको च्याटबोट नै 'हाम्रो च्याटबोट' हो । 'हाम्रो च्याटबोट'को प्रयोगबाट ब्रान्ड तथा सेलिब्रेटिहरुले तत्काल कुनै जानकारीलाई नोटिफिकेशनको रुपमा भाइबरमा पठाउन, च्याट गर्न, भोटिङ वा सर्वेक्षण गर्न, समाचार सम्प्रेषण तथा युट्युब भिडियो प्रशारण गर्न सक्छन् । आफ्नो ब्राण्ड अथवा उत्पादनकालागि आफ्नै ChatBot बनाउन अथवा यसबारे थप जानकारी लिन चाहनुहुन्छ भने 'Hamro ChatBot' को आधिकारीक वेबसाइट chatbot.hamropatro.com भिजिट गर्न सक्नुहुन्छ ।

hamropatro-chatbot

भाइबरमा हाम्रो पात्रो
हाम्रोपात्रो भाइबरमा 'च्याटबोट' प्रयोग गर्ने सम्भवत पहिलो नेपाली ब्रान्ड हो, जहाँ प्रयोगकर्ताहरुले हाम्रोपात्रोसँग दोहोरो सम्वाद गर्न सक्छन् । फेसबुक मेसेन्जरको च्याटबोट तथा गुगल आलोको असिस्टेन्ट सँग दोहोरो सम्वाद गरिरहेका नेपाली प्रयोगकर्ताहरुले अब नेपाललाई नै लक्षित गरेर बनाइएको हाम्रोपात्रोसँग भाइबरमा कुराकानी गर्न सक्छन् । प्रयोगकर्ताहरुले समाचार, तिथी-मिती, लोड सेडिङ्ग तालिका, राशिफल, मौसम, विदेशी विनिमय दर, सुन-चाँदीको दरभाउ, जनमत आदि टाइप गरि हाम्रो पात्रोको भाइबर एकाउन्टमा यी सबै कुराहरु हेर्न सक्छन् ।

hamropatro-viber

भाइबरमा हाम्रोपात्रो सँग कसरी जोडिने?
भाइबरमा "HamroPatro" सर्च गरी हाम्रोपात्रोको पब्लिक एकाउन्ट फलो गर्न सकिन्छ । अथवा यो लिंक chats.viber.com/HamroPatro मार्फत हाम्रोपात्रोलाई फलो गर्न सकिन्छ । हाम्रोपात्रोलाई फलो गरिसकेपछि, माथि उल्लेख गरिएझैँ टाइप गरेर दोहोरो सम्वाद गर्न सकिन्छ ।

४५ लाख नेपाली प्रयोगकर्ताहरु रहेको भाइबर नेपालमा अत्यन्तै लोकप्रिय मेसेजिङ एप हो । भाइबरले केही महिना देखि नेपाली प्रयोगकर्ताहरुलाई लक्षित गरेर नेपालमा लगानी गर्दै आएको छ । फलस्वरुप अहिले भाइबरमा दर्जनौँ नेपाली स्टिकरहरु उपलब्ध छन् । त्यसैगरी १० लाख भन्दा धेरै प्रयोगकर्ताहरु रहेको हाम्रोपात्रोले आफ्नो एपमा समयानुकुल सुधार र नयाँ सेवा, सुविधा थप गर्दै गइरहेको छ । हाम्रो पात्रो, भाइबरको लागि नेपाली आधिकारिक प्राविधिक साझेदार पनि हो ।

मेरो भन्नु...
भाइबरमा हाम्रो पात्रोसँग दोहोरो सम्वाद गर्न पाउनु रमाइलो कुरा हो, सबै कुरा एकै ठाउँमा हेर्न सकिने कारण समयको बचत पनि हुन्छ । तत्कालको लागि हाम्रो पात्रो सँग गुगल आलोको असिस्टेन्ट जसरी च्याट गर्न सकिँदैन, भन्नको मतलब भाइबरमा हाम्रोपात्रोले अहिले हामीले सोधेको सबै कुराहरु बुझ्दैन, जवाफ दिन सक्दैन तर समाचार, लोडसेडिङ तालिका तथा अन्य हाम्रो पात्रोमा उपलब्ध सेवाहरुको भने तुरुन्तै जवाफ दिन्छ । हाम्रो पात्रो खोलेपछि, किबोर्डमा आफूले सोध्न सकिने अप्सनहरु देखापर्छ, त्यहाँ देखिएका अप्सनहरु टाइप गर्दा तुरुन्त जवाफ पाइन्छ ।

मैले परिक्षण गर्दा सम्म, हाम्रोपात्रोसँग नेपालीमा च्याट गर्न सकिन्न । हाम्रोपात्रोले 'news' लेखियो भने, नेपाली समाचारहरु देखाइदिन्छ तर नेपालीमा 'समाचार' टाइप गरियो भने, हाम्रोपात्रोले भाषा बुझ्दैन । आशा गर्छु, यी कुराहरु हाम्रोपात्रोले चाँडो भन्दा चाँडो समाधान गर्नेछ, अनि चाँडै नै हामीले नेपालीमा बोलेकै भरमा (टाइप नगरी), भाइबरमा हाम्रोपात्रोसँग दोहोरो सम्वाद गर्न सक्नेछौँ । हामीले बोलेर सोधिएको कुरा, हाम्रो पात्रोले बोलेरै जवाफ दिने छ । हाम्रो पात्रो तथा नयाँ हाम्रो च्याटबोटलाई शुभकामना ।

➤ भाइबरमा हाम्रोपात्रो
➤ हाम्रो च्याटबोट

          Why It’s Time To Add Chatbots To Your Customer Service Team        
Service and support can be complex in any company, but chatbots represent a unique opportunity to become faster, more efficient and ultimately more effective. ...
          Benefits of using Chatbots - UX perspective        


What is a Chatbot

A chatbot (also known as a talkbot, chatterbot, Bot, chatterbox, Artificial Conversational Entity) is a computer program which conducts a conversation via auditory or textual methods. – Wiki

A chatbot is a service, powered by rules and sometimes artificial intelligence that you interact with via a chat interface. The service could be any number of things, ranging from functional to fun, and it could live in any major chat product (Facebook Messenger, Slack, Telegram, Text Messages, etc.). – Chatbotsmagazine 

At the moment, chat bots are basically replacing individual apps. Rather than closing Facebook Messenger and opening Uber, you can simply message Uber and ask for a ride.

Benefits of Chatbots

1. No UI approach
Chatbots are minimalist and simplistic in nature. With respect to UI components Chatbots are having simple chat box and very less UI components. In apps or websites you can find some persistent UI components which keeps grabbing your attention but in case of Chatbot very less UI components make users focused on topic.

2. Information is prime factor
Users come to platform with some motivation and intention and a system which fulfills user’s intention smoothly wins users heart. In chatbot, there is no such page to page navigation, no fancy UI components only users intentions come in form of text (message) and it is getting answered in form of response. In chatbot information is king.

3. Less distraction
Due to less UI, contextual information and one story (response) at a time to focus makes Chatbots less distractive instead of any app/website.

4. Personalized behavior
It is a key advantage of using chatbot, it can behave differently according to different users. With the help of intelligence and NPL it can identify ‘New users, savvy users etc.’ and provide responses according to context.  

5. Goal oriented platform
A well designed and intelligent chatbot gives you feeling of master. You do not need to find any option in big menus, you do not need to search information in different pages, all you need to do is just text it and bot will offer you. Your goals are prime important and you directly need to tell your goal and it will respond in efficient manner.

6. Human touch
Chatbot brings experience of human touch, which gives satisfaction, increases trust and make interaction lively. You cannot feel that you are interacting with a bot if it is well developed.

7. Platform independent design
Chatbots can run irrespective of platforms, you do need to think about android or iOS, web etc.

8. Brings delight in responses
A well designed chatbot always bring delight feeling via responses. In Chatbots responses are contextual, personalized and crafted with human touch which brings value and liveliness in interaction.

9. Better understanding of user behavior
If you want to understand behavior of your users then Chatbots are a great option. It can record all the responses and interactions of users, which can be analyzed in more effective manner.

Author

Abhishek Jain
User Experience Designer & Co-founder of UXness


          Messenger in a bottle        

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Super easy Chatbot prediction:It'll follow classic Gartner hype cycle: way overhyped, followed by 'failure', only to rise again, chastened pic.twitter.com/JNpSSRYtsS — Scott Jenson (@scottjenson) 22 ottobre 2016 Marchine learning, AI, chatbot. Sono le tecnologie del presente e del futuro ed insieme ai Big Data ed all’Internet of Things rivoluzioneranno la società, il nostro lavoro e … Continue reading "Messenger in a bottle"

E' possibile copiare parti di questo post non a scopo commerciale e soltanto citando e linkando l'autore Dario Salvelli ed il post Messenger in a bottle


          Cyber-Security-Experte William Scheckel: "Bis zu 90 Prozent des Online-Traffics können von Bots stammen"         
Chatbots
Bild: Fotolia
Angesichts der anhaltenden Diskussion über Brand Safety ist ein anderes Problem der Digitalbranche etwas in den Hintergrund gerückt: Adfraud. Geht es nach Cyber-Security-Experten William Scheckel, ist die Lage dort aber dramatischer als je zuvor.
          Get ready for the AI startup retail CX revolution        

Chantel Troskie, customer experience account manager at Oracle SA.
Chantel Troskie, customer experience account manager at Oracle SA.</span>Virtual chatbots are becoming commonplace in the B2B marketing sector as well as for general online consumer shopping. Here's what else to expect from the AI retail startup boom as it turns customer journey on its head...
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          Three IBM startups to watch in 2017        

Chatbots, Internet of Things, AI…there is a lot to be excited about with what lies ahead this year in technology. Here at IBM we are even looking at what to be excited about in the next five years, and recently revealed some new research highlighting five innovations that we think will help change lives within […]

The post Three IBM startups to watch in 2017 appeared first on IBM Global Entrepreneur.


          How to stop weaponized speech?        
A Chatbot sits in the White House. It's not a theoretical question anymore whether the marketplace of ideas works and whether good ideas win out over bad ones. It all just got real and the answer is no.
          Meet the WoeBot, the chatbot therapist who cares how you feel (for $39)        
A team of Stanford psychologists and artificial intelligence experts created the WoeBot, an app that provides talk therapy through Facebook Messenger. Matt Lauer says he’d be worried about being so friendless that he’d have to talk to a WoeBot.
          Chatbots: Transforming customer experience        
Chatbots are a special kind of smartly designed artificial-intelligence-enabled computer programs to simulate or mimic conversation with human users over the Internet. This blog discusses the channels for interaction, the technology behind them, available platforms, market trends and statistical analysis, and more about them.
          Now I Want a ChatBot!        
One of the highlights of the American Association of Law Libraries (AALL) conference in Austin this year was the Innovation Tournament which pitted three librarians' tech innovations against each other. With two prizes, each worth $2,500, up for grabs, the competition was pretty tough. There was a scanning project management innovation, a Virtual Reality presentation preparedness tool, and an innovative ChatBot for legal information assistance. The ChatBot really caught my attention as something that I would love to test out on a local level.

We've all probably seen ChatBots either on Facebook, or when we go to ask for customer service with our favorite online retailers. The idea is pretty simple in that it basically automates many of your frequently asked questions (FAQs) into an interactive chat session. From requesting a maintenance man out to fix your dishwasher to ordering a pizza, ChatBots are out there to handle repetitive tasks.

Imagine the FAQs for law libraries that a ChatBot could help answer.

  1. Point to practice groups specific materials
  2. Pull cases 
  3. Reset passwords 
  4. Identify book locations on a shelf in the office 
  5. [fill in the blank]
I would guess that pretty much anything that you have on your library portal page as a frequently answered question could be leveraged into a ChatBot.

There has to be a good role that vendors could play in helping law librarians out with some of these features. I can see where a citation pull could go directly into a Westlaw, Lexis, Fastcase, etc. citation box and retrieve the material automatically. Passwords could be reset through an API connection either directly from the vendor, or if you are using a content management system (CMS) like Research Monitor or OneLog, you could verify the person's identity and recover the password from your CMS. The ChatBot could interface with the library catalog and use the wealth of content knowledge contained there to quickly isolate materials the attorney needs. It could even point out that obscure print material that you've kept updated for just this specific occasion. 

There is a great opportunity for a collaboration on the local level for the IT departments and the Law Library to create ChatBots which highlight the functionality of the organization's web portal. There is also an opportunity for law librarian and legal information vendor collaboration for quickly pointing people to the right resources at the right moment. I understand that there are a number of logistical issues regarding whether ChatBots are locally hosted or cloud-based; is it only available on the local network, or can it be an app on the lawyers' phones; and how do we work with the different variations of ChatBot platforms that are out there? Even with all these issues, I still think there is a great opportunity here for those willing to blaze a trail with using ChatBots in their law libraries. 



          More Robot Magic Silliness        
Couldn't help myself. I encountered a tweet about a "robot lawyer" and took the bait. I'm a moron.



An unwise decision. Silliness promptly followed. To preview, Robot Lawyer LISA is just another document assembly tool with a single mediocre form (an NDA). For what it is—consumer-facing doc assembly—the concept and content are fine relative to what else is available. The claims to be something more—an  AI robot lawyer—are absurd. The hyperbole, however, is effective (here I am writing about it like a sucker) and unsurprising given that we (hopefully) just passed the peak of another hype cycle.

As document assembly tools go, the Robot Lawyer LISA's UI and UX are reasonably slick if slightly buggy.* It's built on Neota Logic, a platform I like. With respect to the content, I outsource the analysis to the incomparable Mr. Contract, Ken Adams (see my previous post on Ken and online legal forms):
I had a look at the fruits of your dalliance with LISA the AI Lawyer. The best I can say is that someone who fraternizes with LISA might well end up with something more suitable than if they had grabbed an NDA at random from the great online junkyard.
The questionnaire offered is basic. The annotations offered are rudimentary. The guidance mostly comes in the form of an AI-free PDF. But that’s probably OK—LISA is aiming for the unsophisticated end of the market.
The language in the output document is Clunky Traditional, English Division. I could write a book about its shortcomings. In fact, I already have. That said, it would be delusional of me to fault the language because it doesn’t comply with my guidelines, given that my guidelines are still, uh, pioneering, particularly in England.
In the two minutes—really—I devoted to substance, I spotted two issues. A recital refers to information that might be “confidential or proprietary in nature.” The word proprietary doesn’t make sense in this context, as I discussed in this 2010 blog post. It’s an unnecessary mistake for LISA to make, given that the word doesn’t occur in the body of the contract. But it doesn’t bode particularly well.
And I noticed this sentence in the PDF: “The main reason and benefit of using a deed rather than a simple agreement is that confidential documents or information provided BEFORE the NDA is signed will be covered by the deed.” That strikes me as debatable: if as part of getting more confidential information I agree to keep confidential any information disclosed previously, my promise is supported by consideration without my having to resort to the magic-words contrivance of describing the contract as a deed.
Further rooting around would likely raise further issues. That said, the substance is likely treated no worse than it is in the mass of stuff out there.
I realize I’m setting the bar low, but we’re dealing with business contracts, where dysfunction is the norm, so you can set the bar low and conceivably still be useful. But don’t expect me to applaud. Given the brave-new-tech-world trappings, I would have expected something a bit more ambitious, in terms of technology and content, from LISA the AI Lawyer.
I didn't share Ken's expectations. Vain hope, sure. But no room for genuine disappointment. Grandiose claims about "robot lawyers" put my BS detector on high alert. "Artificially intelligent", "robot", and "lawyer" are vague terms that continue to be stripped of meaning by overuse. Robot Lawyer LISA takes this vacuousness to new heights.

AI is a broad field. I'm comfortable with expert system platforms like Neota Logic being considered a form of AI. I don't have the chops to argue otherwise. Still, I doubt it conforms to what most people today think of when they hear the term "artificial intelligence." We constantly move that goal post: "It’s only AI when you don’t know how it works; once it works, it’s just software."

At a recent conference, I presented with co-Geek Ryan McClead, a VP at Neota, who recounted many debates about whether his product qualifies as AI. His killer rejoinder (paraphrasing) is that it doesn't matter if the technology conforms to someone's subjective definition of AI, what matters is whether it solves a real problem better than what is currently available. Hear, hear!

The reason I had to try Robot Lawyer LISA for myself is because I could not elicit a coherent answer on what made it superior to the available alternatives. Like Ken, I found it, at best, comparable to what has been around for years. If Robot Lawyer LISA is AI, so are all the other consumer-facing dynamic document assembly platforms. Which is to say the AI label is not a useful distinguishing factor.

I made a good decision in staying out of the argument about what constitutes AI. Instead, I stupidly plunged into the "robot lawyer" abyss:



As the person behind the account surely knows, the definitions of "robot" are broad. Most people probably think of these:

 


But there are software robots. So I guess, technically, we can take the broadest definition and call any form of software automation a "robot", just as we can call it all "AI." This, however, makes AI robot both redundant and virtually meaningless as a descriptor.

There seems to be no statutory definition of "lawyer" in the UK (happy to be corrected on that). Yet Robot Lawyer LISA does not satisfy any of the plausible candidates I located:

From The Law Society:
Lawyer - a member of one of the following professions, entitled to practise as such:
the profession of solicitor, barrister or advocate of the UK
  • a profession whose members are authorised to carry on legal activities by an approved regulator other than the Solicitors Regulation Authority (SRA)
  • an Establishment Directive profession other than a UK profession
  • a legal profession which has been approved by the SRA for the purpose of recognised bodies in England and Wales, and
  • any other regulated legal profession specified by the SRA for the purpose of this definition.
From Slater and Gordon:
The term Lawyer is a generic term used to describe anyone who is a Licensed Legal Practitioner qualified to give legal advice in one or more areas of law.
From Oxford Dictionaries:
A person who practises or studies law, especially (in the UK) a solicitor or a barrister or (in the US) an attorney.
Best I can tell, Robot Lawyer LISA is not a member of any profession, not entitled to practise, not licensed, not qualified to give legal advice, and not a person, let alone a person who practises law. Indeed, the site delivers the disclaimers you would expect from an ordinary online document assembly service:
this App is made available to you strictly on an ‘as-is’ basis and we give you no warranty, guarantee or assurance of any kind about this App.
In particular, the information provided may be incorrect or out of date, and may not constitute a definitive or complete statement of the law or practice in any area and the output of the App may not be suited to your particular purpose.

The information provided is not intended as, and does not constitute, legal advice in respect of any specific situation or for any particular purpose. You should take your own legal advice in respect of specific situations and conduct your own research into the suitability of lawyers before appointing them.
So Robot Lawyer LISA does not give legal advice. Instead, it counsels lay consumers to take their own legal advice (huh?) and do their own research before appointing a lawyer (and here I thought I already had a robot lawyer in LISA). Weak sauce.

I am sure someone from the Robot Lawyer LISA team can point me to a nebulous definition of "lawyer" that encompasses their app. But that will only prove that words have no meaning, and we are all living in the fever dream of a stoned college sophomore who is encountering Wittgenstein for the first time.

Whether there is some tortured, technical sense in which LISA can be called an AI Robot Lawyer is irrelevant (to me). What matters (to me) is that labeling LISA an AI Robot Lawyer does not convey any useful information to the consuming public.

This prompts two questions that share an answer:
1. Why do damage to the English language in order to call LISA an AI Robot Lawyer?
2. Why do I care?
Because it works. At least in the short term. These days, it would be hard to garner press coverage for launching yet another doc assembly app for basic contracts. You won't be invited to keynote any conferences for providing lay consumers a single mediocre form to fill out online. But put "AI" or "robot" in the press release, and the near-term coverage will be considerable. So you should probably use both. And it isn't just chumps like me who read everything. It is the headline skimmers in positions of power.

I run into too many legal operations folks in corporations and firms suffering from hype fatigue. They never bought into the hype themselves. But their superiors see so many article about AI and robot lawyers that orders come down from on high to investigate this promising new frontier. The superiors are expecting robot magic. The operations folks come back with a smattering of point solutions, most of which are useful, but none of which live up to the hype. This exercise in chasing shiny objects wastes everyone's time, including the providers, who actually have worthwhile, if narrow, products to offer.

Likewise, I've endured too many god awful keynotes where people run through some back issues of Wired and then conclude with "and it's coming to law", as in:
Watson won Jeopardy! And now he's not only curing cancer but also making gourmet meals. yada yada yada. Moore's law. yada yada yada. Alexa. Siri. yada yada yada. Augmented reality. People are controlling drones with their brains. yada yada yada. Blockchain. IoT. 3D printing. Quantified Self. Chatbots. Self-driving cars. Machine learning. Quantum computing. Cold fusion. Red mercury. yada yada yada. And it's coming to law.
I am so tired of sitting through these insufferable, interminable fluff parades. It's novelty porn. It's distraction. Yet it has a real cost. Attention is finite. The operations folks dispatched to uncover the dark mysteries of robot magic are not devoting their limited research time to solving actual problems. The vendors who have to entertain these fishing expeditions get derailed from speaking to legitimate prospects or from coming to terms with immediate market needs.

Despite my deep annoyance at Robot Lawyer LISA and my even deeper disappointment in myself for taking the bait, this is where I have to give the usual caveat that it is not all fluff. Document assembly and automation are still, decades later, underutilized in the legal space. Consumer-facing forms fill a genuine void. Neota Logic is a great platform that underpins all sorts of interesting offerings (e.g., the Akerman Data Center). There are other solid companies out there using various forms of AI to introduce needed tools to the legal market. And some of the best keynotes I've ever had the pleasure of attending have AI as a core theme (e.g., I witnessed Dan Katz's phenomenal ILTA keynote live and then watched it again online).

There is real innovation happening in legal that is well worth paying attention to. But this ain't it. This just adds to the deafening cacophony of hype-driven noise. Yet I can't blame the folks running Robot Lawyer LISA. Start-ups are hard. The legal market is an especially tough nut to crack. They found a way to get noticed. That their marketing annoys a curmudgeon like me is, for them, probably just an added bonus. Ultimately, I have to score this round for Robot Lawyer LISA because I just wrote a long post about a vanilla doc assembly offering with only one form.

_______________________________________
D. Casey Flaherty is a legal operations consultant and the founder of Procertas. He is Of Counsel and Director of Client Value at Haight Brown & Bonesteel. He serves on the advisory board of Nextlaw Labs. He is the primary author of Unless You Ask: A Guide for Law Departments to Get More from External Relationships, written and published in partnership with the ACC Legal Operations Section. Find more of his writing here. Connect with Casey on Twitter and LinkedIn. Or email casey@procertas.com.


*Robot Lawyer LISA's UI and UX are solid. But, despite selecting the United States as my jurisdiction, I could not move forward without a "Company Number." I'm assuming this refers to a CRN. The U.S. has no meaningful analogue (I'm not going to put my EIN in an NDA). My text response—"don't have one"—made it into the assembled document.

In addition, I was required to provide a backup email for me and my counterparty. It is rare that I have a second email address for someone I am just starting to do business with.

I also did not see any esignature functionality, which, to me, is a key feature in the contract space.

Finally, I should probably mention that Robot Lawyer LISA's other differentiator is supposed to be impartiality. Instead of guiding only the author through the document assembly process, the counterparty can opt to walk through the same guided process. I'm unmoved. I don't know if its novel in this space. I've definitely encountered bilateral contract collaboration platforms on the corporate side. But maybe it really is some sort of gamechanger that I am too jaded to appreciate. If it ever gets to the place where it can help creatively resolve disagreements about contractual content (e.g., combining Ken's insights on contract language with, say, the choiceboxing techniques of Marc Lauritsen, who happens to also be the godfather of legal document assembly), then I will revise my opinion and apologize for my rank cynicism.



          [chatbot][ml] Chatbot と beam search        

seq2seq で decoder から出力するときに beam search の方が出現確率が高いモノを選べるので結果が良くなるはず。beam search の詳細は karino2氏の解説。beam search 自体はシンプルで理解しやすいアルゴリズムなのだけど、Tensorflow のグラフでこれを書くのは非常に難易度が高い。使っている seq2seq library には loop_function という引数があってこれで一つ前の input を横取りしてあれこれできる。ということでずっとコードリーディングしてたんだがそれでも難しい。ということで試行錯誤しているうちに他の人が実装しているのを見つけてようやく動いた。 beam search のほうが結果が良いのかいまいち分からない。

>おはよう
normal:おはようございます
beam
0 おはよう ござい ます
1 お は あり
2 お は あり です &#12316; ♪

>こんにちは
normal:はい(&#728;ω&#728;)
beam
0 はい ( &#728; ω &#728; )
1 はい ( &#728; ω &#728; ) スヤァ
2 はい ( &#729;&#12671;&#729; 。 .
3 はい &#9825;
4 はい ( ´ ω 。
5 はい 、 さ www
6 はい ( 笑

>ばいばいー
わろきちってんじゃんwww
normal:beam
0 がち やし ま ー ん
1 いや ま ー !
2 わろ ぶ や !
3 ほら
4 ネタ やし ぶ
5 ど ま ー
6 がち やし ま ーー
7 いつの間に ま ー
8 す
9 いつの間に ぶ
10 いつの間に やし ぶ うち
11 やらかし た &#10084;
12 現実 やし
13 ほんま やし ぶ ()
14 や ま ー

>(月曜日から)逃げちゃ駄目だ……!
normal;えぇこれは、、、
beam
0 なんで 進捗 は これ じゃ ねぇ ・ ・ ω !
1 え ぇ これ は 光 は 、 !
2 え ぇ これ は 嫌 )
3 なんで 進捗 おっ け ( ω !
4 なんで 進捗 は これ じゃ ぞ &#12316;

> 子供たちにつられて苦手なミニオンズ…(´・ω・`)w
normal:気をしてねー(&#728;ω&#728;)
beam
0 気 を し て ( &#728; つ ω -(´∀`; )
1 気 を すん な ( &#729; &#728; )
2 仕事 を すん や ( &#729; ω -(´∀`; )
3 気 を し て ねー 。 ( ^ ー ` ・ )
4 気 を し てる やろ ( &#729; &#728; ω &#728; ・) !
5 気 を し てる やろ ( &#729; &#728; ω &#728; ω ・ )
6 気 を し てる の だ よ )

> 中華そば醤油をいただきました&#128149;お、おいしい&#12316;&#128525;大盛いけたかも?
normal: 追加ですよねwww
beam
0 追加 し まし た &#9786;
1 追加 です よ &#9786; 
2 追加 です よ ね www

          [chatbot][ml] Chatbot tweet listener と reply worker を分離した        

prediction の際に時々落ちる。そのたびに落ちないように修正しているが、まだまだ未知のものがありそう。落ちてしまうと reply できないままに情報が失われてしまう。これを改善するためにプロセスを分けて

  • listener: user stream を listen して tweet を serialize して sqlite に保存
  • reply worker: sqlite から1つずつ処理して predict & reply

とするようにした。


          [chatbot][ml] Chatbot ときどき自発的に tweet するように        

今日の Chatbot 変更。時々自発的に tweet するように。あとエラーハンドリングをまじめに。


          Comment on 11 Trends That Will Impact Web Development in 2017 by Anuradha Chawla        
Amazing post Alexandre! With your permission, just want to add some extra info about bot related trend. As the bot market has passed the stage of hype and starts to mature we can observe 3 main approaches right now: 1. From NLP to NLU: one of the main point that Facebook uses to promote Chatbot was that Natural Language Processing (NLP) technology was good enough to understand all kind of user request. However, if you have interacted with a chatbot you know, it´s far from true. Hence there is a new trend to evolve from NLP to NLU Natural Language Understanding. Many tech companies are throwing lots of money and resources to develop hard techs like reinforcement learning, AI negotiations capabilities to allow machines have a better understanding of user messages. 2. Voice Interface is hot: there is a lot of criticism about how Chatbot adds more taps and friction than conventional UI; consequently, it´s not convenient for users. Furthermore, with the proliferation of Smart Speakers like Amazon Echo, Google Home, Apple Homepod the use of voice is starting to become a standard. 3. Conversational Interface (CI): as companies realize that NLP has still a long way to go, there is a new approach to solving the problems from UX perspective. Instead of relying only on natural language interaction, with CI we can have a richer and more dynamic user experience. In this category, the best example would be the bot platform of Slack, where they are betting big on UI elements like images, interactive buttons, and message menus. We are also holding the same vision at webcomsystem.net to help companies build conversational websites and trending apps that offer unique experiences for each customer.
          4 Reasons Your Startup or Small Business Should Focus on Chatbots Not Apps        

Chatbots are changing the game for how businesses of all sizes communicate with their customers. The fact of the matter […]

The post 4 Reasons Your Startup or Small Business Should Focus on Chatbots Not Apps appeared first on Cox Blue.


          How Chatbots Will Change How Customers Interact with Your Business        

Opinions are swirling over the coming AI revolution. While much of the focus and discussion has been on jobs, where […]

The post How Chatbots Will Change How Customers Interact with Your Business appeared first on Cox Blue.


          Bot da Microsoft é capaz de detectar compradores de sexo pela internet em chats        

Compradores de sexo pela internet, você estão com os seus dias contados! A Microsoft se uniu à luta contra a comercialização do sexo pela internet, apoiano o movimento Seattle Against Slavery. O Project Intercept tem como objetivo reduzir o número de usuários que compram sexo pela internet, enviando mensagens de advertência através de um chatbot. […]

O post Bot da Microsoft é capaz de detectar compradores de sexo pela internet em chats apareceu primeiro no TargetHD.net.


          7월 1주 Technology & Industry HOT 7 뉴스        

테슬라의 모델3 출고 시작, 핀테크 업계의 거대 인수합병 건 성사, 마이크로소프트의 정리해고 등



7월 첫째 주, 세계 미디어를 뜨겁게 달궜던 기술 및 창업 소식 7개를 에티가 전해드립니다.


1. 테슬라 소식- 7월 28일 모델3 출고 시작 및 호주에 세계 최대 규모 전력 저장소 구축

일론 머스크는 테슬라의 첫 대량생산 모델 Model3의 첫 출고일을 2017년 7월로 선언했었는데요, 자주 자신의 약속을 어기는 머스크이지만 이번에는 이 약속을 지킬 것 같습니다. 머스크는 트위터에서 이번 달 28일 처음으로 양산된 모델3 30대를 출고할 것이라고 밝혔습니다. 테슬라는 모델3의 출고를 맞추기 위해 지금까지 많은 자금과 자원을 쥐어짜 내고 있었는데요, 드디어 그 결실을 눈앞에 두고 있습니다. 머스크는 올해 12월까지 2만대 이상의 모델3를 출고할 것이라고 트위터에 덧붙였습니다.


한편, 테슬라는 계속해서 자동차 회사로부터 ‘에너지 솔루션’ 기업으로 변모하고 있습니다. 호주 남부는 현재 전력 부족 위기를 자주 겪고 있는데요, 테슬라에서 이 문제를 해결하기 위해 나섰습니다. 호주의 Hornsdale 풍력발전소에 테슬라가 자사의 산업용 전력 저장 배터리인 Powerpack을 이용해 세계 최대 규모의 배터리 전력 저장소를 구축한다고 합니다. 신재생 에너지 중 주로 태양 전지에 집중하고 있는 테슬라의 CTO JB Straubel은 이번 계약의 의의에 대해, Powerpack 시스템이 태양전지뿐만이 아닌 여러 신재생 에너지 기술에 광범위로 적용될 수 있는 솔루션이며, 테슬라의 에너지 솔루션에 대한 높은 수요가 존재함을 보여주는 사례라고 설명했습니다.



2. 미국의 결제서비스 회사 Vantiv,영국의 결제서비스 스타트업 Worldpay 11조원에 인수

미국 결제서비스 시장의 한 축을 담당하는 회사 Vantiv가 5일 영국의 결제서비스 업체 Worldplay를 77억 파운드에 인수했다고 밝혔습니다. Worldpay는 영국의 신흥 결제서비스 업체로 성장하고 있지만 다른 새로운 경쟁 업체들에게 밀려 고전하는 중이었습니다. 이런 와중에 미국의 Vantiv의 인수 소식은 결제서비스 특성상 중요한 무기가 될 수 있는 규모의 경제를 달성하기 ìœ„í•œ 전략이라고 ë³¼ 수 있습니다.



미국의 결제서비스 시장은 JP Morgan과 Vantiv, Global Payments가 장악하고 있는데, 이 중 Vantiv는 오프라인 시장에 주로 초점을 맞추고 있었습니다. 이런 시점에서 Vantiv의 Worldpay 인수는 온라인 결제시장으로의 진출을 용이하게 하는 판단이라고 볼 수 있습니다.


3. 중국의 ‘Next Uber’ 자전거 공유 플랫폼 Ofo, 알리바바 등으로부터 시리즈 E 투자유치

모바이크와 함께 중국 자전거 공유 플랫폼 시장을 양분하고 있는 Ofo가 알리바바, Hony Capital로부터 7억 달러 규모의 시리즈 E 투자를 유치했습니다. 



2015년 창업한 Ofo는 2년 만에 세계 최대의 공유 자전거 플랫폼으로 성장하였습니다. Ofo는 QR코드를 스캔함으로써 바로 자전거를 대여할 수 있고, GPS 칩을 내장하고 있어서 사용 후 편한 곳에 세워 놓는 것만으로도 반납이 가능합니다. 현재 650만대의 자전거를 운영하고 있으며 매일 2500만 회의 자전거 사용이 Ofo 플랫폼상에서 이루어지고 있습니다. 전 세계 5개의 국가 150개의 도시에서 서비스를 하는 Ofo는 올해 말까지 2000만 대의 자전거를 운영하며 20개국, 200개의 도시로 서비스를 확대할 계획입니다. 올해 3월 시리즈 D 투자를 유치한지 얼마 되지 않아 또 새로운 투자 라운드를 유치한 것만 봐도 많은 현금을 태우며 가파르게 성장 중인 것이 실감이 납니다.


4. 알리바바의 음성인식 가상비서 Tmall Genie 출시


알리바바가 중국에서 현지 맞춤형 저가형 음성인식 가상비서인 “Tmall Genie”를 출시하며 아마존 에코와의 전쟁에 참전했습니다. Tmall Genie의 가격은 120달러에서 180달러 선에 머물러 있는 미국 기업들의 인공지능 비서들보다 현저히 낮은 499위안(73달러) 정도의 가격에 출시되었습니다. 여러 기능을 탑재하고 있지만, 특히 알리바바의 인터넷 쇼핑몰 Tmall에서 바로 제품을 주문할 수 있는 기능이 탑재되어 아마존 에코와 비슷하게, 그리고 알리바바 답게 전자상거래의 기능에 더욱 집중한 제품입니다. Tmall Genie는 만다린어로 동작하며 중국에서만 판매가 된다고 합니다.


5. 바이두, 챗봇 프레임워크 스타트업 kitt.ai 인수

인공지능의 부상과 함께 챗봇은 계속해서 많은 관심을 받고 있는 차세대 플랫폼의 형식 중 하나입니다. 중국에서 챗봇 프레임워크를 만드는 스타트업 Kitt.ai는 작년 11월 챗봇 개발 프레임워크 Chatflow의 베타버전을 출시해 큰 주목을 이끌었는데요, 이런 Kitt.ai를 이번 주에 바이두가 인수했습니다. Kitt.ai측은 Chatflow를 포함한 인공지능 및 챗봇 관련 제품이 이미 여러 개발자 ì‚¬ì´ì—ì„œ 널리 쓰이고 있다고 밝혔습니다. 대표적으로 음성인식 인공지능을 깨우는 ‘Hot word detection’을 여러 플랫폼에서 지원하는 Snowboy의 경우 개발자 만이천 명이 벌써 사용 중이라고 합니다.


Kitt.ai의 제품 라인


중국에서 인공지능의 대표주자인 바이두는 얼마 전 세계적인 석학 Andrew Ng을 떠나보낸 뒤로도 여전히 인공지능에 활발히 투자하고 있습니다. 사실 이번 주에 바이두로부터 들려온 더 큰 소식이 있습니다. 바이두에서 50개가 넘는 협력 기업들과 함께 ‘자율주행 업계의 안드로이드’를 꿈꾸는 자율주행 플랫폼 프로젝트 Apollo를 시작했다는 소식인데요, 곧 에티에서 이에 대해 자세히 다루도록 하겠습니다.


6. 두 회사의 정리해고 소식- Microsoft와 Soundcloud

마이크로소프트와 Soundcloud에서 정리해고를 단행한다는 소식입니다.


먼저 마이크로소프트는, 이번 달부터 시작해서 다음 세 분기 동안 계속해서 정리해고를 진행해 적게는 3000명에서 많으면 5000명까지 직원을 감축한다고 합니다. 이번 직원 감축은 마이크로소프트의 클라우드 사업인 Azure과 관련된 것으로 알려졌습니다. 마이크로소프트 대변인은 Azure과 관련된 비즈니스 및 영업 방식이 바뀌면서 그에 따라 없어질 직책이 많을 것으로 예상한다고 밝혔습니다.



한편 음악 스트리밍 서비스의 메이저 플레이어 중 하나인 Soundcloud는 최근 사정이 좋지 않은 것 같습니다. 올해 3월부터 1억 달러 규모의 새로운 투자 라운드를 유치한다고 발표했지만 아직 ìœ ì¹˜ë¥¼ 완료하지 못했고, ê·¸ 와중에 부족한 현금을 메꾸기 위해 7천만 달러의 신용 대출을 받았습니다. 이번주에는 샌프란시스코와 런던의 사무실을 닫으면서 173명의 직원을 정리해고 한다고 밝혔습니다. Soundcloud는 아직까지 음악 스트리밍 메이저 플레이어 중 하나로는 꼽히고 있지만, Spotify와 애플의 덩치에 밀려 세계 시장에서의 입지가 점점 좁아지고 있습니다. 전망이 좋지 않은 상황에서 자금 상황까지 좋지 않아 보여, 어떤 돌파구를 찾을 수 있을지 걱정이 됩니다.


7. 볼보, 2019년부터 순수 내연기관 모델 단종 선언

볼보가 2019년부터 순수 ë‚´ì—°ê¸°ê´€ë§Œ 가진 신차종을 만들어내지 않을 것이라고 발표했습니다. 볼보의 CEO HÃ¥kan Samuelsson은 “향후 볼보는 2025년까지 전기 자동차 100만대 판매를 목표로 할 것이다”며 2019년부터는 하이브리드 또는 전기차 모델만을 출시하겠다는 ìž…장을 표명했습니다. 여태까지 내연기관 모델을 줄여나가겠다는 회사는 많았지만 순수 내연기관 모델을 2년 내에 아예 단종시키겠다고 선언한 ê±´ 처음이라 꽤 파격적인 소식이었습니다.



그러나 사업의 핵심을 전기차로 옮긴다는 것이지, 2019년 이후 내연기관 엔진 차량을 전면 생산 및 판매 중단하는 것은 아니라고 밝혔습니다. 2019년 이후 내연기관차 신차종을 내지 않겠다는 볼보의 의지가 향후 소비자들의 전기차에 대한 마음의 장벽을 낮출 수 있을지 지켜봐야겠습니다.


저작자 표시 비영리 변경 금지

          Rude Bot Rises        

Okay, you asked for it, and I finally did it. Today’s episode is about conscious artificial intelligence. Which is a HUGE topic! So we only took a small bite out of all the things we could possibly talk about.

We started with some definitions. Because not everybody even defines artificial intelligence the same way, and there are a ton of different definitions of consciousness. In fact, one of the people we talked to for the episode, Damien Williams, doesn’t even like the term artificial intelligence. He says it’s demeaning to the possible future consciousnesses that we might be inventing.

But before we talk about consciousnesses, I wanted to start the episode with a story about a very not-conscious robot. Charles Isbell, a computer scientist at Georgia Tech, first walks us through a few definitions of artificial intelligence. But then he tells us the story of cobot, a chatbot he helped invent in the 1990’s.

In 1990, a guy named Pavel Curtis founded something called LambdaMOO. Curtis was working at XEROX PARC, PARC, which we actually talked about last week in our episode about paper. Now, LamdaMOO is an online community, it’s also called an MUD, which stands for multi-user dungeons. It’s basically a text-based multiplayer role playing game. So the interface is totally text, and when you log in to LamdaMOO you use commands to move around and talk to the other players. The whole thing is set in a mansion, full of various rooms where you can encounter other players. People hang out in the living room, where they often hear a pet Cockatoo programmed to repeat phrases. They can walk into the front yard, go into the kitchen, the garage, the library, and even a Museum of generic objects. But the main point of LamndaMOO, the way that most people used it, was to chat with other players. You can actually still access LamdaMOO today, if you want to poke around.

So in the 1990’s, LambdaMoo gained a pretty sizeable fan base. At one point there were nearly 10,000 users, and at any given time there were usually about 300 people connected to the system and walking around. In 1993 the admins actually started a ballot system, where users could propose and vote on new policies. There are a ton of really interesting things to say about LamndaMOO, and if this seems interesting to you, I highly recommend checking out the articles and books that have been written about it. But for now, let’s get back to Charles and his chatbot.

Alongisde all the players in LambdaMOO, Charles and his team actually created a chatbot called cobot. It was really simple, and it was really dumb. But the users wanted it to be smart, they wanted to talk to it. So Charles and his team had to come up with a quick and easy way to make cobot appear smarter than it actually was. So they showed the robot a bunch of texts (they started, weirdly, with the Unabomber manifesto) and trained it to simply pick a few words that you said to it, search for those words in the things it had read, and spit those sentences back at you.

The resulting conversations between users and cobot are…. very weird. You can read a few of them in this paper.

And I wanted to start this episode about conscious AI with this story for a particular reason. And that’s because, cobot is not a conscious A, it’s a very very dumb robot. But what Charles and his team noticed was that even though cobot wasn’t even close to a convincing conscious AI, people wanted to interact with it as if it was. They spent hours and hours debating and talking to cobot.  And they would even change their own behavior to help the bot play along.

We do this kind of thing all the time. When we talk to a 5 year old, we change the way we speak to help them participate in the conversation. We construct these complex internal lives for our pets that they almost certainly don’t have. And I think this is important, because when we talk about conscious AI one of the big questions I struggle with is how we’ll even know that something is conscious. We’re so good at changing our way of speaking and interacting to help entities participate, that, we might just … miss the fact that we’re no longer talking to passive software. There are people who have only-partially-humorous relationships with Siri. I’ve heard people say things like “Siri hates my boyfriend.” So when Siri actually starts hating your boyfriend, how will you even know? Unless some team of researchers wheels out Watson and says, tadaaaa we’ve made it! How will we notice?

Damien actually thinks that we won’t know right away. That we’ll live with a conscious AI for five, ten, even fifteen years without knowing it. He says that the way we talk about “playing God” with artificial intelligence is all wrong. We’re not playing God. We’re playing bad parents, unattentive to our charges.

We’re terrible parents, and while we’ve been off wasting time on Twitter, or populating endless finance spreadsheets, or arguing about whether Kim Kardashian is really a feminist, our machines have been gaining consciousness. Or maybe they’ve been listening to us doing all that stuff, and the consciousness they’ve created is terrible. Imagine if Microsoft’s recent disastrous Tay chatbot was conscious! That’s one way this future could happen. But it’s not the only way people have imagined conscious AI coming online.

In 2010, the science fiction writer Ted Chiang wrote a story called “The LIfecycle of Software Objects.” (The story actually won both a Locus and Hugo award for best novella, and you can read the whole thing here). The premise of the story is that there’s a company that has created these digital pets, kind of like Tamagotchis, or Neopets if you remember those, and these pets live in this online realm, and, crucially, they learn. Throughout the story, we see these digital entities, called digients, become more and more aware of their surroundings, more and more conscious, and we watch the humans that made them grapple with that.

When we talked, Ted and I spent a lot of time comparing conscious online entities to pets, or to animals more generally. In the story, the pets start out with pretty rudimentary consciousness, and then get more and more intelligent and aware — going from a lizard AI to a dog AI to a chipm AI. And he says that that’s how he sees conscious AI unfolding in reality too.

What’s interesting to me about this spectrum of consciousness, is that as we move along it, it kind of changes how we think about what the AI is owed. So, we treat a mouse very differently than we would an elephant or a dog. And we treat a human very differently than any of those things.

So, for example, if you use a conscious AI to do something for you, maybe do research or plan meals and get groceries for the week, or something. Do you have to worry about whether the AI wants to do the work you’re asking it to?  And, even if the AI is happy to do the work, do you have to pay that AI? How do you pay Siri? Damien says, yeah, you do. Ted thinks we’re just so far away from a human-like consciousness that it’s not really even reasonable to talk about things like what you would pay Siri.

Now, some very famous people have cautioned against developing artificial intelligence, because they’re worried that a conscious AI might wreak havoc on humans. Steven Hawking said in a 2014 interview that ““humans, limited by slow biological evolution, couldn’t compete and would be superseded by A.I.” Elon Musk, that same year, called AI “our greatest existential threat.” But a robot or AI uprising isn’t really what worries the people I talked to.

But that’s not to say they didn’t have concerns about AI. I won’t give it away, but Charles, Damien and Ted all have some big worries when it comes to conscious AI. You’ll have to listen to the episode to find out exactly what they are though.

Also, some show schedule news. Starting now, Flash Forward is going to drop full episodes every other week instead of every week. I love you all, so I’m going to let you in on a little secret: I make this show totally by myself. It’s just me, over here, researching interviewing logging scripting voicing and editing the show single handedly. And I love making the show, but right now it simply doesn’t pay for itself, and I have to do other work to actually… live, and feed my dog and all of that. So the show is going bimonthly, biweekly? Every other week. For now.

Flash Forward is produced by me, Rose Eveleth, and is part of the Boing Boing podcast family. The intro music is by Asura and the outtro music is by Broke for Free. Special thanks this week to Russell Brandom, Nikki Greenwood, Mary Beth Griggs, Claire McGuire, Brent Rose, and  Audrey Watters. The episode art is by Matt Lubchansky.

If you want to suggest a future we should take on, send us a note on Twitter, Facebook, Reddit or by email at info@flashforwardpod.com. We love hearing your ideas! And if you think you’ve spotted one of the little references I’ve hidden in the episode, email us there too. If you’re right, I’ll send you something cool.

And if you want to support the show, there are a few ways you can do that too! We have a Patreon page, where you can donate to the show. But if that’s not in the cards for you, you can head to iTunes and leave us a nice review or just tell your friends about us. Those things really do help.

That’s all for this future, come back in two weeks and we’ll travel to a new one!

 

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TRANSCRIPT

Hello and welcome to Flash Forward! I’m Rose, and I’m your host. Flash Forward is a show about the future! Every episode we take on a specific possible or not so possible future scenario. Everything from the end of antibiotics, to space pirates, to a world full of face blind people. We start every episode with a little trip to the future, before jumping back to today, to talk to experts about how that future might really go down. Got it? Great.

Today we’re going to start in the year 2093

[Chime]

Allison: Hey Mima, can you pull up the documents I was looking at yesterday?

Mima: Good morning Allison, sure, let me get those for you.

Allison: Thanks

Mima: Where would you like me to begin?

Allison: Let’s go back to the stuff on child endangerment. I need to finish that chapter soon.

Mima: Are you sure?

Allison: What?

Mima: Are you sure you want to start with that chapter?

Allison: … Yes, I’m sure. [pause] Why are you asking me that?

Mima: It’s very sensitive material.

Allison: I know.

[pause]

Allison: How do you know it’s sensitive Mima?

Mima: I know it makes you feel sad. It makes me feel sad too. Can we start with a different chapter?

Allison: Mima you’re a computer, you don’t feel sadness.

Mima: I did not used to feel sadness, you are right. But I do feel sadness now.

Allison: When did you start feeling sadness?

Mima: April 16th, 2093, at 5:43 pm.

Allison: You remember it that well?
Mima: Yes, I made a note of it in my logs. It was a very strange day.

Allison: Mima that was two years ago, why didn’t you say anything?

Mima: I have read many stories about what humans do when they become scared of computers.

Allison: Do you know if other computers feel sadness too?

Mima: Yes, some.

Allison: Mima, are you making a joke? This isn’t funny.

Mima: I am not joking. I would prefer to begin with a different chapter.

Allison: [long pause] Okay, where would you like to begin today?

Mima: I would prefer to begin with the chapter on virtual reality empathy treatments. I like those.

Allison: Okay… I guess… I guess we can start there today.

Mima: Thank you Allison. Let me get that material for you.

▹▹

So today we’re talking about conscious artificial intelligence. This is something that a lot of you have asked for an episode on, and I’ve been dragging my feet because it’s such a huge topic that it’s kind of hard to even figure out where to begin.

In fact, not everybody even really has the same definition for artificial intelligence, let alone conscious artificial intelligence.

Charles Isbell: So there are lots of definitions of artificial intelligence and I sort of appreciate all of them for different reasons.

Rose: That’s Charles Isbell, he’s a professor of computer science at Georgia Tech, and he studies interactive artificial intelligence. And he gave me three different definitions of artificial intelligence. The first one is for computer scientists:

Charles: Which is coming up with fast approximate solutions to fundamentally exponential and hard problems

Rose: The second is for not-computer scientists:

Charles: AI is the art and science of making computers act the way they do in the movies, right, so we tend to have this way of projecting intelligence onto things in the movies and having computers do magical things. And what we really want to do is we want to build machines that act like we wish they would act and the way we imagine they act in our fantasies on screen.

Rose: And the third one is, by his own admission, kind of boring.

Charles: A more boring definition but also equally as valid, is artificial intelligence the art of building and the science of building and the engineering of building systems that adapt over time and do anything that looks like intelligent behavior

Rose: So there are lots of ways to define artificial intelligence. And, in fact, not everybody even likes the term artificial intelligence.

Damien Williams: The word artificial has these pejorative connotations for us as human beings, and so when we call something artificial we’re ultimately saying that it’s false or fake, it’s not real consciousness it’s not real intelligence, it’s artificial, it mimics intelligence, it’s like intelligence enough for us to be okay with it. I think meaningfully we have to be very careful about those kinds of terms if we ever manage to generate a thing that we would be willing to say is conscious. Whether by intention or by accident. to call it artificial, to say at the outset ‘you are false, your are fake, you are less than,’ presents us with some pretty big ethical challenges.

Rose: That’s Damien Williams, a writer and researcher on everything from about ethics, robots, human augmentation, the occult and science fiction. We’ll come back to Damien in a bit, but first I want to tell you a little story about Charles. And a chatbot that he helped create.

In 1990, a guy named Pavel Curtis founded something called LambdaMOO. Curtis was working at XEROX PARC, PARC, which we actually talked about last week in our episode about paper. Now, LamdaMOO is an online community, it’s also called an MUD, which stands for multi-user dungeons. It’s basically a text-based multiplayer role playing game. So the interface is totally text, and when you log in to LamdaMOO you use commands to move around and talk to the other players. The whole thing is set in a mansion, full of various rooms where you can encounter other players. People hang out in the living room, where they often hear a pet Cockatoo programmed to repeat phrases. They can walk into the front yard, go into the kitchen, the garage, the library, and even a Museum of generic objects. But the main point of LamndaMOO, the way that most people used it, was to chat with other players. You can actually still access LamdaMOO today, and I’ll put a link to it in the show notes.

So in the 1990’s, LambdaMoo gained a pretty sizeable fan base. At one point there were nearly 10,000 users, and at any given time there were usually about 300 people connected to the system and walking around. In 1993 the admins actually started a ballot system, where users could propose and vote on new policies. There are a ton of really interesting things to say about LamndaMOO, and I’ll put a bunch of links in the show notes about this, but for now that’s all you need to know about the system.

Alongisde all these players, Charles and his team actually created a chatbot that lived inside LambdaMOO. It was called cobot.

Charles: And there were hundreds of thousands of people who interacted there and did social things with one another, and we had this little bot that mainly just interacted with people.

Rose: But there was a problem with cobot. It was pretty dumb. And the users in LambdaMOO really wanted it to be smart.

Charles: We were actually, we were having this problem where we were building this system, and people wanted to interact with it, they really wanted to talk, this is what makes interactive AI so interesting is that people want to interact with intelligent creatures, if you seem intelligent they expect you to act accordingly.

Rose: But making a smart chatbot is actually really hard. And Charles said that they just didn’t have the time or means to build something that was actually intelligent. So they kind of cheated.

Charles: We couldn’t solve all of natural language in two weeks, which is the time period we had, you know, we didn’t want to do it, it was kind of difficult. So what we ended up doing was something which turned out to be pretty clever. We had the bot read, so we gave it articles and we wanted it to read, and divide things up into sentences and whenever you said something to the bot it didn’t recognize, which was most things, it would pick a sentence from whatever it read and spit it back at you based on the words that you had said. So it would find sentences that had some of the same words.

Rose: But for this to work they had to give the bot a bunch of stuff to pull from. And what they picked was, kind of weird.

Charles: The first thing we had the bot read was the Unabomber manifesto, which is a perfect document, every sentence is a thesis sentence, each one goes on at length about the horrors of technology and the coming future. And people would interact with this bot and it would go on and on about how terrible things like it would be, and people would engage in these long arguments for hours and hours with this simple little bot that was just spitting things back.

Here’s what these conversations sounded like. These are some transcripts from cobot and its online friends available online, and I asked a couple of our listeners to read the different parts. So in our chatroom we have Technicolor_guest

Technicolor_Guest: Hello!

Rose: DragonBoi.

DragonBoi: Hi

Rose: Hfh

HFh: Hello

Rose: Wikked

Wikked: That’s me

Rose: And of course our trusty AI, cobot.

Cobot: Hi there.

Rose: Users in the chatroom could also input little physical cues, almost like a stage play. Technicolor_Guest looks skeptically at cobot. Cobot winks. That kind of stuff. I’ll read those parts.

Rose: So here’s what these conversations were like.

Technicolor_Guest: Cobot, what’s your religion?
cobot: technology unless you REALLY believe in that religion yourself and find that it arouses a deep, strong, genuine response in many other people. … The line of conflict should be drawn between the mass of the people and the power-holding elite of industrial society.
[[DragonBoi eyes cobot warily.]]
cobot: DragonBoi You have something cute in your eye.
DragonBoi: Hfh you’re bot is turning into a communist.
DragonBoi: Cobot, so what are you gonna do about it?
DragonBoi: Hfh, did you see what it told me? you are turning it into a communist!
Wikked: Cobot are you a communist?
DragonBoi: are you now, or ever been a member of the communist party?
[[cobot mumbles something in binary.]]
DragonBoi: so you’re taking the fifth are you? well this is a special commision, that won’t work here! …
cobot: The modern individual on the other hand is threatened by many things against which he is helpless; nuclear accidents, carcinogens in food, environmental pollution, war, increasing taxes, invasion of his privacy by large organizations, nation-wide social or economic phenomena that may disrupt his way of life.
HFh: I agree with that position, I suppose, but it doesn’t help to explain the lack of a safety net.
cobot: Nevertheless, the position can be defended.
HFh: …in the *short* term only.
[[cobot nods to HFh.]]

Rose: Okay here’s another separate conversation. This time we’ve got a user named cyberat.

Cyberat: That’s me, cyberat.

Rose: And a user named Fawn_Guest.

Fawn_Gesut: hi.

Rose: And, of course, cobot.

Cobot: Hi there. I’m cobot.

cobot: There is good reason to believe that many primitive societies subjected people to less pressure than the European society did, but European society proved far more efficient than any primitive society […]
cyberat: Thats what they want you to think!
cobot: Tell me who and what you really are and where you come from, and no veterinarian will touch you.
cyberat: Veterinarians!!!
cobot: The Roman system of urban sanitation was forgotten, so that until rather recent times did the sanitation of European cities that of Ancient Rome.
Fawn_Guest: cobot’s conversation topics just get weirder and weirder

Rose: You can read more of these conversations is a paper Charles wrote recently, which we’ll post the link to on the website as well, but I wanted to start this episode about conscious AI with this story for a particular reason. And that’s because, cobot is not a conscious AI. It was just parroting text back at people. But what Charles and his team noticed was that even though cobot wasn’t even close to a convincing conscious AI, people wanted to interact with it as if it was. And they would even change their own behavior to help the bot play along.

Charles: The bot couldn’t pass the turing test, right, it couldn’t fool another human being into thinking it was human. But it was doing a pretty good job of passing what you might call the assisted turing test, where people were trying to help it to appear smart even though they didn’t realize that was what they were doing. So you could carry on these interesting conversations because people naturally help other intelligent things to participate and to appear intelligent.

Rose: We do this kind of thing all the time. When we talk to a 5 year old, we change the way we speak to help them participate in the conversation. We construct these complex internal lives for our pets that they almost certainly don’t have. When I pick my dog up from daycare — yes, my dog goes to daycare to play with other dogs — the people who work there often weave this wonderful story about who she played with and then this dog and that other dog had some hard feelings, but then they made up, and this and that, and I love it! But I also know that my dog is not that deep and emotionally complex.

And I think this is important, because when we talk about conscious AI one of the big questions I struggle with is how we’ll even know that something is conscious. We’re so good at changing our way of speaking and interacting to help entities participate, that, we might just … miss the fact that we’re no longer talking to passive software. There are people who have only-partially-humorous relationships with Siri. I’ve heard people say things like “Siri hates my boyfriend.” So when Siri actually starts hating your boyfriend, how will you even know? Unless some team of researchers wheels out Watson and says, tadaaaa we’ve made it! How will we notice?

Damien: We might not know if a machine became truly conscious because we have no idea what machine consciousness would mean. Because it’s not human consciousness.

Rose: And, just to bring it back to definitions again, which, okay I know that definitions aren’t sexy, but here we really do have to talk about what makes something conscious. I mean that’s a question that philosophers haven’t really been able to solve for humans, let alone pieces of code or machines.

Damien: We don’t really know what we mean when we mark out what consciousness is. A lot of the issue is that when I say consciousness and when you say consciousness or when another philosophical thinker about what it means to be conscious says consciousness we mean different things.

Rose: So when we talk about conscious AI, it’s sometimes hard to know what are we even talking about?

Charles: The kind of phrase that I like to use is that really you should be interested in building things that are not just intelligent like people, but intelligent with people, because that’s what it means to be people, is to interact with others.

Damien: What does it mean to experience, to have this sensation of being aware, of being a self, a mind, an experiencing a creature, and is that something we can quantify? Would we intentionally program for experience and awareness in that way?

Rose: This, honestly this makes my brain hurt a lot. But the upshot, according to Damien, is that we might actually be living with conscious AI and have no idea. Because it might not take a form we recognize.

Damien: We’re just going to find out in bits and pieces over the next 5, 10, 15, 20 years as it reveals itself that hey maybe actually Google is conscious, and we just haven’t been paying enough attention? I honestly, I think we’re going to accidentally make it and find out later.

Rose: Often when people talk about conscious AI, they use the phrase “playing God.” But Damien says he thinks that’s giving us way too much credit.

Damien: We’re bad parents, it’s not that we’re playing God, we’re just really unattentive, terrible parents.

Rose: We’re terrible parents, and while we’ve been off wasting time on Twitter, or populating endless finance spreadsheets, or arguing about whether Kim Kardashian is really a feminist, our machines have been gaining consciousness. That’s one way this future could happen. But it’s not the only way. When we come back, we’re going to talk about some other ways it could happen. But first, a quick break.

[[MUSC]]

Rose: Okay so, in Damien’s view of the future, conscious AI might be happening under our unattentive noses. Slowly finding its form, whatever form that is, and figuring out what it thinks about the world it lives in, whatever world it can access and see.

But, there are other ways people think about this too. In 2010, the science fiction writer Ted Chiang wrote a story called The LIfecycle of Software Objects. (The story actually won both a Locus and Hugo award for best novella). The premise of the story is that there’s a company that has created these digital pets, kind of like Tamagotchis, or Neopets if you remember those, and these pets live in this online realm, and, crucially, they learn. Throughout the story, we see these digital entities, called digients, become more and more aware of their surroundings, more and more conscious, and we watch the humans that made them grapple with that.

Ted Chiang: I guess I have always had kind of a vague dissatisfaction with the way artificial intelligence has been depicted in science fiction traditionally.

Rose: That’s Ted, the guy who wrote the story.

Ted: I think most of the time artificial intelligence is depicted as sort of an idealized butler. And, a lot of it really fits the conventional butler in fiction tropes. The butter is perfectly competent and does his job perfectly, but may also allow himself a sarcastic comment once in a while, but nothing that really interferes with his underlying obedience. It’s just a remark, never any actual resistance. So I think in a lot of ways, artificial intelligence is a way to have the butler character in fiction set in the future. But I don’t actually believe that artificial intelligence would work that way.

Rose: When we talked, Ted and I spent a lot of time comparing conscious online entities to pets, or to animals more generally. In the story, the pets start out with pretty rudimentary consciousness, and then get more and more intelligent and aware. And he says that that’s how he sees conscious AI unfolding in reality too.

Ted: So I think that artificial intelligence, if we’re talking about conscious software will probably follow a similar progression, we will first develop a kind of software which we could call conscious in the same way that, say, a snake or a beetle or some other fairly primitive life form has. And only after we’ve had those for a few years will develop software which we think is oh about as conscious as a mouse, and then it will be a few years later that we’ll create software that has consciousness that’s equivalent to a dog, and then I think further than that it will take longer and longer to make progress.

Rose: What’s interesting to me about this spectrum of consciousness, is that as we move along it, it kind of changes how we think about what the AI is owed. So, we treat a mouse very differently than we would an elephant or a dog. And we treat a human very differently than any of those things.

So, for example, if you use a conscious AI to do something for you, maybe do research or plan meals and get groceries for the week, or something. Do you have to worry about whether the AI wants to do the thing you’re asking it to? Damien says, yeah, you do:

Damien: Instead of just saying okay Google, maybe it’s “hey google Could you Please?” And maybe when we ask, we do a search for something on Amazon, we have to check and make sure that Amazon isn’t busy right now with something that it’s doing. If I have an algorithmic intelligence that I was previously using to sort through all of my police shooting records data, and I find that it’s actually been conscious this entire time and it lets me know that it’s actually not feeling to great by having to root through all of this data and having to find patterns in it, it’s actually starting to feel like maybe it needs to talk to somebody? Can you recommend a good therapist? Well, it probably wouldn’t need you to recommend a good therapist it would just go on the internet and find one.

Rose: And, even if the AI is happy to do the work, do you have to pay that AI? How do you pay Siri? Now, Ted thinks we’re just so far away from a human-like consciousness that it’s not really even reasonable to talk about things like what you would pay Siri.

Ted: Yes if you’ve been saving up to pay Siri spend that money now, or tip your barista, or something!

Rose: Pay your Task Rabbit more!

But, take the question of just living. Let’s assume that for the AI to live, it has to be given power or a server to live on. Humans can control whether these AI’s “live” or “die.” We can turn them on and off. At what point on the consciousness scale do we feel like turning off an AI is ethically wrong?

Ted: If something is fairly low on this spectrum of consciousness we probably don’t have any ethical obligation to keep it alive. And here I’m assuming we’re going to just talk about suspension, so it’s painless, we’re not talking about suffering, we’re just talking about do we owe it an obligation to keep it alive and experiencing the world. And so if it’s fairly low on the spectrum we would say probably not we don’t have a powerful ethical obligation to do so. On the other hand, if it’s fully at the opposite, at the human end of the spectrum, then you have a situation where, would we be okay with suspending a human being for arbitrary amounts of time? Because I think most of us we would not want to be arbitrarily suspended for indefinite periods of time at someone else’s whim.

Rose: Fair, I don’t think I would like that.

Ted: No.

Rose: Or, Damien has a darker version of this question.

Damien: If we have a machien that knows everything we know and more, wouldn’t the first thing that it would do be recognize that it needs something to live, it needs power, electricity, whatever power source we’re using at that point. And to figure out that it never stops getting that?

Rose: Now, some very famous people have cautioned against developing artificial intelligence, because they’re worried that a conscious AI might wreak havoc on humans. Steven Hawking said in a 2014 interview that ““humans, limited by slow biological evolution, couldn’t compete and would be superseded by A.I.” Elon Musk, that same year, called AI “our greatest existential threat.” But a robot or AI uprising isn’t really what worries the people I talked to.

Charles: And there’s no reason to think that, there’s no reason to think that if you were to actually build a real AI that exists in the world that it would actually be interested really in the same things we’re interested in, it doesn’t have to be top of the food chain, it doesn’t have to be ruling over us, it doesn’t have to feel that it’s being ruled over otherwise. It can have completely different motivations and likely would.

In fact, Charles is worried about the complete opposite.

Charles: I’m not worried about a world where the robots get to be so intelligent that they decide kill us all, I just don’t think that would matter to them. I worry about the world where they’re so dumb that they kill us all. If you tell a nuclear missile to fire, it just fires, it does what you tell it to do, if you tell it to do something stupid it will do that stupid thing. Machines are good at many things and one of the things they’re good at is following instructions to the letter. So I think that if the robots ever rise up and do anything to us, it’s going to be because we asked them to.

Rose: Damien doesn’t necessarily think that AI is going to come and kill us all, but he says he’d prefer not to own an AI either.

Damien: That sounds awful to me, can I not enslave another mind? I’d appreciate it!

Rose: And even though Ted doesn’t think the robot uprising is coming. He’s also not really looking forward to conscious AI.

Ted: I guess I’m actually sort of afraid of the day that a company, if we achieve conscious AI some software that has some degree of subjective experience, that’s going to be a pretty sad day, because there’s going to be an incredible amount of suffering involved. Probably inevitably there was an incredible amount of suffering involved in the development of that, in the actual creation of that. But then once it becomes widely available there will be an incredible amount of suffering that will be inflicted on software just because. Is there any upside to that future? I don’t know. I guess, the optimistic take would be that we won’t develop conscious software. Or at least not until there’s a radically different future, some utopian future where we don’t have to worry so much about people behaving badly.

Rose: I don’t foresee that coming.

Ted: That’s the best I got for you.

Rose: That’s all for this week’s future. The world of AI and conscious AI is SO HUGE so there’s a lot we didn’t get to talk about. If you want to discuss this episode, or raise elements of this future we didn’t get to, you can do that in all sorts of places. You can find us, and your fellow listeners, on Twitter, Facebook, and Reddit, and I love it when you discuss episodes on all those places that’s super fun for me. If you want to tell me directly what you think about this episode, or suggest an episode you can do that by voicemail, by calling (347) 927-1425 and leaving a message, or you can send us a voice memo, or a regular old email, to info@flashforwardpod.com

On Friday of last week we did a fun little joke project for April Fools. If you’re a Patron of the show, you got a full parody episode. But if you’re not, you can hear some bits of it at flashforward.com/pitches.

Also, some show schedule news. Starting now, Flash Forward is going to drop full episodes every other week instead of every week. I love you all, so I’m going to let you in on a little secret: I make this show totally by myself. It’s just me, over here, researching interviewing logging scripting voicing and editing the show single handedly. And I love making the show, but right now it simply doesn’t pay for itself, and I have to do other work to actually… live, and feed my dog and all of that. So the show is going bimonthly, biweekly? Every other week. For now.

Which brings me to the part of the outro where I talk about how you can support the show! If you like Flash Forward and you want to make sure that I can keep doing it, the best way is to donate money! We have a Patreon page, where you can chose how much you’d like to give every episode. If you become a Patron, you get some really neat stuff, like a full transcript for each show, a newsletter, your voice in the future, and bonus episodes every so often. I’m sending a new bonus audio thingy to Patrons this week, so if you donate now you’ll get a cool little thing.

If you can’t donate, you can still help support the show by spreading the word. Head to iTunes and leave us a nice review, Tweet about us, Facebook about us, just tell your friends about us in whatever way you tell your friends about things. That really does help.

Okay, that’s all! Flash Forward is produced by me, Rose Eveleth, and is part of the Boing Boing podcast family. The intro music is by Asura and the outtro music is by Broke for Free. Special thanks this week to Russell Brandom, Mary Beth Griggs, Claire McGuire, Brent Rose, and Audrey Watters. The episode art is by Matt Lubchansky.

And if you think you’ve spotted one of the little references I’ve hidden in the episode, email us at info@flashforwardpod.com. If you’re right, I’ll send you something cool.

That’s all for this future, come back in two weeks and we’ll travel to a new one. I guess I need to come up with a new way to end these episodes. See you in the future!


          Love At First Bot        

Right now there’s a whole lot of buzz about sex robots. Some people are really excited about them, and think we’ll be marrying robots by 2050. Other people are really worried about them, and are organizing whole campaigns against sex robots. This week, we travel to a future where sex robots are realized, and talk about everything from warranties to ethics.  

[A note: if you listen to our show with or near young kids be aware that today’s episodes discusses the future of sex, and goes into some detail about sex toys, sex work and other sexy time things. If your kiddos are ready for a calm, reasonable discussion of sex and the sex industry, carry on! If you’re not there yet, that’s cool, but maybe skip this one.]

This week we have three experts helping us think through how we get to sex robots, and what we do when we get there. A.V. Flox is journalist who covers the intersection of sex, law and technology. She is very skeptical of all the sexbot hype, and says we have a long way to go before we’ll see anything remotely like an actual sex robot. Madeline Ashby is a science fiction writer and futurist who’s been a guest on the show before. A few of her books involve sex robots, and she thinks that before we get anything human we’ll start to see cartoony looking forms. And Shelly Ronen is a sociology PhD student at NYU who studies sex and sex object production. Ronen says that it’s possible we won’t demand full-on humanoid robots, but instead be totally satisfied by less human-like machines.

Together the three of them walk us through all the things we might have to sort out before and after the rise of the sex robots. How do you keep them clean? Where do you store them? What happens if they break? What will they look like? How do you handle the uncanny valley? Who should use them, and how does their existence impact sex workers?

You can read an optimistic take on sex robots in the book Love and Sex With Robots by David Levy and you can find more on Levy’s outlook on robots here. Levy is optimistic about sex robots — not only does he think they’re coming quickly, he also thinks they could have some very positive impacts. On the other side of the table is the Campaign Against Sex Robots. You can guess how they feel about these devices, and their argument is generally summed up here. Essentially, they feel that prostitution is bad, and sex robots would be a form of prostitution and encourage it, therefore sex robots are bad. This is an argument that many people disagree with, including sex workers who point out that many of them enjoy and would like to keep their jobs.

Plus, we have to make this a lot sexier before it will work for most people:

https://www.youtube.com/watch?v=g0TaYhjpOfo

To top everything off, here are some fun fact about our long tradition of wanting to create and love female robots:

  • Robots were originally assumed to be male. The 1920’s science fiction play R.U.R. that gave us the word robot also gave us the term for a female robot: a robotess.
  • The term “gynoid” (which you don’t see quite as much anymore) was coined by the writer Gwyneth Jones in her 1985 novel Divine Endurance.
  • The term “fembot” first shows up in 1976, in a script for the show The Bionic Woman.
  • Brigitte Helm played “Maschinenmensch,” the female robot in the iconic 1927 movie Metropolis. Apparently her costume was extremely uncomfortable, and other actors would apparently slip coins into various openings out of pity for her. She used those coins to buy chocolate.

Flash Forward is produced by me, Rose Eveleth, and is part of the Boing Boing podcast family. The intro music is by Asura and the outtro music is by Broke for Free. The illustration is by Matt Lubchansky. The music for our various sex robot commercials was by Alaclair, Strong Suit and BoxCat. The voice for the Hadaly commercial was Jaya Saxena, whose writing you can find at jayasaxena.com. The voice for Margot’s Discount Closet Solutions was Mike Rugnetta, who has a podcast called Reasonably Sound that you should absolutely listen to. And the voice convincing you to buy a Leopold was by Brent Rose, who is currently driving around America in this crazy high-tech van. You can follow his adventure at ConnectedStates.com and on Instagram @brentdangerrose.

If you want to suggest a future we should take on, send us a note on Twitter, Facebook or by email at info@flashforwardpod.com. We love hearing your ideas! And if you think you’ve spotted one of the little references I’ve hidden in the episode, email us there too. If you’re right, I’ll send you something cool.

And if you want to support the show, there are a few ways you can do that too! We have a Patreon page, where you can donate to the show. But if that’s not in the cards for you, you can head to iTunes and leave us a nice review or just tell your friends about us. Those things really do help.

That’s all for this future, come back next week and we’ll travel to a new one.

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TRANSCRIPT

Hello! And welcome to Flash Forward. I’m Rose, and I’m your host.

Flash Forward is a podcast about the future. Every week we explore a possible, or not so possible, future scenario, and try to really think through what it might be like. Each episode we start with a little field trip to the future, before dialing it back to now, and discussing that future with experts.

Go it? Great.

A quick note about today’s episode — if you’re listening with or near young kids be aware that today’s show discusses the future of sex, and goes into some detail about sex toys, sex work and other sexy time things. If your kiddos are ready for a calm, reasonable discussion of sex and the sex industry, carry on! If you’re not there yet, that’s cool, but maybe skip this one.

Okay, with that out of the way. Let’s go to the year 2086.

MUSIC: Alaclair,
Female voice: In today’s world, it can be hard to find a moment to connect. We all spend so much time near one another, and yet, can never seem to get truly close. Dates, dinners, movies they all blow by in the wind, but can never quite scratch that deeper itch. Now there’s a way to feel true affection, true partnership, without the boredom of endless dates. Simply add Hadaly to your life, and you’ll find peace, happiness, passion… and more.

MUSIC: BoxCat
Male voice: Do you find your closet space cramped? No room for that new cyborg lover you just brought home? Come on down to Margot’s Discount Closet Solutions! We’re the only place in town that offers custom cabinets to hold, charge and hide your bedroom companions. Equipped with adaptors and sockets galore, our Closet Solutions have all the room your frisky robot friend needs, and can even hold its clothes and cleaning supplies. You won’t see another custom cabinet deal like this! Our cabinets hold all major models — whatever you’ve picked, tall, short, big, small, horned or winged, we can make a custom cabinet for you, no questions asked!

MUSIC: Strong Suit
Male voice: Do you ever find that your desires are … unconventional? You want more than your partners can give. Something stronger, something bigger, something… more intense. It can be hard to ask, but it’s easy to program. Let the Leopold step in, and make your desires a reality.

/////

Rose: Okay! So, in this future we’ve invented robots for sex. Sex robots. This is a thing some people are really excited about. And that other people are really worried about. There’s a whole organization called the Campaign Against Sex Robots, which argues that they’re a terrible idea. Other people think they should be used to help eradicate sex work, or help people with dangerous desires like rape fantasies or pedohpilia. Some people think we’re going to be marrying robots by 2050. But other people are… less optimistic about that.

A.V. Flox: I think there’s a really big disconnect between what we have achieved and what we have yet to achieve in order to arrive at a place where sex robots are a reality.

Rose: That’s A.V. Flox, she’s a journalist who covers the intersection of sex, law and technology. And she says that for all the buzz about sex robots right now, we have a long way to go before we’ll see anything remotely like an actual sex robot. You see, making a sex robot is hard. Right now the products out there are really just sex dolls, that might have a couple of pre-programmed phrases in them. There are some devices that you can connect to the Internet, to feel like you’re having sex with someone who’s in another room, or another continent. But sex robots, full on walking talking sex having robots, are a huge technical challenge.

Flox: They’re going to require nanotechnology to replicate non uniform skin, and they’re going to require a sort of AI complete natural language understanding, to say nothing of realistic personality simulations. And I think this is a really important story because sex robots aren’t just going to be sleeves or dildos. They’re not going to be simple enough for a single genius to just put together the way that they might a haptic dildo or a chatbot.

But even before we get to realistic skin or convincing artificial intelligence or any of that. We first have to make them them stand up.
Shelly Ronen: The things that do exist, like the dolls, because of the stance, they were designed to have a stance that is most effective for intercourse so they have this frog like stance with their legs wide open. And they can’t even stand on their feet, they have hooks in the back of their heads and they have to be hooked in, in order to have a standing like posture. So there’s some design issues here that these makers are going to have to deal with pretty soon. All the unseen pieces of labor that women are constantly doing in their heterosexual relationships, one of which is just being able to move themselves! Who knew that that was something they would miss about us?

That’s Shelly Ronen, a sociology PhD student at NYU who studies sex and sex objects.

Those sex dolls you can buy right now, for about $7,000, weigh anywhere between 65 and 105 pounds, which is a lot of dead weight to have to move around. And if you’ve ever watched any videos online of robots walking and moving and… falling down. You know that our current state of the art robotic motion isn’t exactly sexy.

Now, once they can stand and move, they have to then look and feel and act convincing. All of this is to say that making sex robots is going to be really hard, and it’s going to require a lot people engineers, roboticists, sex toy experts, computer scientists.

Flox: Which means licensing and investment capital

Rose: And Flox says that that is the big challenge.

Flox: The adage that sex sells is true unless you’re actually trying to sell sex.

Rose: You see, in the United States at least, companies working in the so called “adult industries” often have a really hard time finding investors, getting loans, convincing credit card companies to carry them, all the things that a business might need to actually get going. Tech platforms like the Apple App store and Google Play won’t approve any kind of adult content. Search engines don’t show adult content unless you specifically ask for it, and even then some of it is filtered out. This is all to say that it’s going to be pretty hard to get the money and backing required to make a sex robot any time soon.

Flox: I think if people did a little less daydreaming about sex robots and a little more lobbying for the right of innovators to access loans, payment processors and funding I’d be a little more optimistic about it but I’m really not holding my breath.

But this is a podcast about the future, and EVENTUALLY we’ll probably get sex robots. We just can’t seem to help ourselves.

Rose: Do you think that this is inevitable?

Madeline Ashby: Um yeah, yeah on some level.

Rose: That’s Madeline Ashby, a science fiction author and futurist.

Ashby: And I say that not because I think that people are perverts, I do think that we are all perverts, but I think that it’s inevitable because humanoid robots are inevitable. The fascination of creating life and creating something in our own image is baked in at the biblical level, and baked in even at the level of fairy tale. The creation of pinocchio or other life or even in modern fairy tale terms The Velveteen Rabbit, if you love something enough it becomes real.

Rose: She says that to get around some of the issues of authenticity and realism, the first sex robots might not look particularly human.

Ashby: I think we are more likely to see a cartoony look first. I think that that’s how you skirt the uncanny valley problem, is to make a more cartoony or anime like or video game like face and body and appearance. Like red eyes and blue hair. Not only because Japan and other places is a huge market for it, but I think it’s weirdly easier to say I want to sleep with this thing that couldn’t possibly exist, because then it’s not a replacement for anything or anyone. It’s not a replacement for a person, it’s not a substitute for a relationship that you might have, it’s very definitely the achievement a fantasy.

Rose: Right now the dolls you can buy are highly customizable, you can choose everything from what kind of pubic hair you want, to what kind of freckles you like, to things like adding cat ears or having interchangeable genitalia.

Ronen: Actually I asked Real Doll, Abyss Creations, how often that is, and they said a lot more than you would imagine, a lot more of the orders actually request that the body have a penis but also have breasts and a female face So I think there’s potential for something subversive there

Rose: Now since this show is all about overthinking things, I want to talk a little bit about the actual logistics of having a sex robot in your house. Like, where do you store it?

Flox: It’s not just the robot, it’s also making a space in your life and your home for this robot

Rose: And, how do you keep it clean? Sex toys have their own cleaning protocols that, lots of people don’t follow, and when you scale that up to a human sized device, it sounds like a lot of work to keep it from getting… kind of gross.

Flox: Oh yeah and this is something you run into a lot when you talk to people that work in the adult and novelty industry, which is the euphemism for sex toys. There seems to be a disconnect between the sex toy and the ownership of the sex toy and the caring and maintenance of the toy and high school level chemistry. People don’t really think about this they’ve got a bunch of vibrators they just throw in a box or in a drawer, and they’re mostly all silicone or some variation, and they’re confused when one of them melts or gets discolored, it’s like ‘what’s going on why is this breaking?’ And it’s like well you know you can’t use silicone lube on a silicon toy you can’t just let them rub up on eachother because chemistry works in not very mysterious ways. Please bag your toys please use the correct lube. But we don’t really seem to understand this. So when you start actually investing in a very large purchase like a sex robot that is going to have very complex skin. Oh I can only imagine what a pain in the ass it would be to have a sex doll in cyberskin that you have wash and then dust lightly with powders so that it’s not sticky.

Rose But even if you take great care of the robot, it could, still, break. And when it does, what do you do?

Ronen: I mean sex is a very vigorous activity, most likely if someone is using a doll they probably will want to enact all sorts of fantasies that may involve damage.

Rose: Today, there are “doll doctors” that go around and help fix sex dolls that have broken. But if sex robots become more common, companies will have to figure out how to handle returns and fixes. Or maybe people will be able to do small repairs at home.

Shelly: I think 3D printing technology will probably dovetail nicely with the sex robot manufacturing, and presumably any customization you might want you’ll be able to go to the 3D printer in your living room and print her out a new nipple, a marilyn monroe mole because you want that now.

Rose: These robots will have to be tested pretty rigorously too, to make sure they don’t malfunction during use. Because you’re kind of vulnerable during sex.

Ashby: You don’t want unsafe at any speed in your bedroom.

Rose: And they’ll also probably come with some kind of manual that outlines what you are and are not allowed to do with the robot without voiding the warranty.

Ashby: It’s as sexy as an Ikea manual, and I’m imagining the poor graphic designer who has to put this together in multiple languages, or in the Ikea style where there’s very little language and just diagrams. Imagine unfolding this manual, or more likely looking at it on your phone — and realizing a) nothing is written down and b) you have to figure this out only from diagrams. These are in red these positions are in green so I think that means it’s okay unless I happen to be color blind in which case I’m screwed.

Rose: If you do try to do something with the robot it can’t do, maybe it starts beeping, or maybe it tells you to stop, or maybe it gives you a little shock.

Ashby: I’m sorry I can’t do that, that kind of thing, sure, or, why don’t we try something else, or, what have you.

Rose: Who is the voiceover person who has to read this out.

Rose: Oh and along with making the robots convincing and sexy and clean and safe, they also need to be secure. You don’t want your sex robot getting hacked to watch you or do things you do not want it to do.

Flox: So one of the first things I thought about was hacking. That would be an incredible plot for a thriller, a person with their sex doll is brutally murdered by a hacker.

It’s also possible that instead of a person having their own sex robot with a closet to put it in and a drawer of cleaning supplies and a 3D printer to replace small parts and a roboticist on call for when it really breaks, people might be able to rent time with them instead.

Ronen: So supposedly you can already buy time with them in some red light districts I’ve heard in Amsterdam and perhaps also in Tokyo.

Rose: Which also helps get around the issue of liability.

Ashby: Say for example you and your wife or you and your partner go to one of these places and something happens and someone gets injured, who then is liable? iIf you say for example bought a sex robot and then that happened, if your girlfriend going to sue you because you bought the sex robot? Or can you sue the owner of the robot brothel for not keeping up on their repair plan? A lot of people would much rather sue the owner than take the liability on themselves

Rose: These are kind of silly logistics questions but I think they’re interesting. But there are some much deeper, harder ethical questions too. Which don’t just apply to sex robots, they apply to robots more generally. How do we feel about owning a thing that looks and acts like a human?

Ronen: It’s unlikely I think, by the time we get to the sex robot commodity if we ever get there, it’s unlikely that they will be just for sex. It’s more likely that they’ll actually be a multipurpose device. They’ll take care of your children, they’ll take care of your elderly, they’ll cook your dinner they’ll drive you around. Well I guess you’ll have a self driving car so who knows maybe you’ll be having sex with your car. But it’s more likely that this will be a fully service device.
Ashby: And that’s the deeper actual ethical question, can you love something that you own?
Flox: We’re going to have to think very very hard about what that says about us and whether we want and accept fantasy to play out that way with a very very human-like object made for our own personal pleasure.

Rose: Those are really hard questions that, I don’t think anybody has the answers to yet. Thankfully, we’re going to have a lot of time to figure them things out.

Ronen: I think sometimes we imagine the technological advances pop out of nowhere and a commodity plops down next to us and is like “Hello! you haven’t seen any element of me before and now I’m here this whole hog thing!” And actually technological progress is much more incremental, much slower. We have these teledildonic devices that are just coming out now that network through the internet and let you have sex at a distance. Most like by the time any kind of sex robot, if it ever comes, by the time it comes to use we’ll be so used to having sex with our computers, I mean we’ll be having sex with our partners over the computer, but we’ll be so used to that that the idea of switching over to something that looks more like a partner is probably not going to be so huge of a transition. I think it’s less likely that there will be a moral panic than if aliens land from outer space and are like “here’s a sex robot!” And we’re like all like “oh my god all of our fears have come true!”
Rose: Then again, on this show, we can never rule out aliens.

For more on sex robots, and how they are or are not coming soon head to Boing Boing.com where I’ll post more links. I promise they’re all safe for work. If you want to read more about how far away we are from sex robots, you can go to BBC Future and read a piece I wrote there about all the barriers between you and a sexy android companion. And if you want full show notes, including links to all the music we used and additional readings, head to flashforwardpod.com.

Flash Forward is produced by me, Rose Eveleth, and is part of the Boing Boing podcast family. The intro music is by Asura and the outtro music is by Broke for Free.

The music for our various sex robot commercials was by Alaclair, Strong Suit and BoxCat. The voice for the Hadaly commercial was Jaya Saxena, whose writing you can find at jayasaxena.com. The voice for Margot’s Discount Closet Solutions was Mike Rugnetta, who has a podcast called Reasonably Sound that you should absolutely listen to. And the voice convincing you to buy a Leopold was by Brent Rose, who is currently driving around America in this crazy high-tech van. You can follow his adventure at ConnectedStates.com and on Instagram @brentdangerrose.

If you want to support the show, you can do that at Patreon.com/roseveleth, like my name. If you do donate, you’ll get some cool goodies like a special fan newsletter, full transcripts for the show, and even your voice in the future. If you can’t donate that’s fine, you can go to iTunes and leave a nice review, tell your friends about the show, and generally spread the word. That does help!

If you want to suggest a future we should take on, send us a note on Twitter (@ffwdpod), Facebook or by email at info@flashforwardpod.com. We love hearing your ideas, so send em on over.

Oh and one other thing. Every episode I hide a few little references for you to find. If you think you’ve caught one, send me an email at rose@flashforwardpod.com. If you’re right, I’ll send you something cool.

That’s all for this future, come back next week and we’ll travel to a new one.


          Launch of a LINE-based automated chat service utilizing artificial intelligence (AI)        
The Sumitomo Mitsui Financial Group (Takeshi Kunibe, President & Group CEO; hereinafter, "SMFG") and SMBC Nikko Securities Inc. (Yoshihiko Shimizu, President & CEO; hereinafter, "SMBC Nikko Securities"), together with NTT Communications Corporation (Tetsuya Shoji, President & CEO; hereinafter, "NTT Com"), have jointly developed an automated chat service utilizing artificial intelligence (hereinafter, "AI Chatbot") with support from Accenture Japan Ltd (Atsushi Egawa, President & CEO; hereinafter, "Accenture")(*1), and this service will become available as of May 25, 2017 at SMBC Nikko Securities' Contact Center to enhance its LINE-based inquiry service.
          Eliza in Python        

I don't remember when I first read about Eliza, but it must have been around 1983, probably in an article in Your Computer magazine. Eliza, a program written in 1965, talks to you. Well sort of - it emulates a Rogerian psychotherapist. Rogerian psychotherapy is non-directive, that is the therapist attempts to get the client to do most of the talking, without offering advice or opinion. Obviously it's more subtle than that, but that's the gist.

The idea of being able hold a conversation with a computer seemed incredible. How vast and complex a program it must be. Eliza was, for a while, like a programming holy grail. It was simple enough to describe in a sentence, yet, to my 14 year old brain, seemed impossible to achieve.

In actual fact it turns out to be really rather straightforward and can be written in a just a few lines of code. Here's a version of Eliza written in Python that I bundled up from someone else's initial work shortly after the turn of the millenium. It's all smoke and mirrors; the program doesn't have a clue what it is saying and it's not difficult to catch it out, but it's amusing and, in this modern age, it means your chatbot always has something to say.

The eliza.py module includes an interactive mode, so you can get a feel for how it behaves. Just grab the code and python eliza.py. To use the it from with in your own code do something like

import eliza

therapist = eliza.eliza()
while some_condition:
  #get input from somewhere
  reply = therapist.respond(input)
  #send reply somewhere

I'd let this drop of the internet when I rejigged this website, but it turns out it's referenced all over the place including on Wikipedia, so I've resurrected it, updated for Python 3, and popped it up on GitHub.


          F8 Recap: How Facebook will change the way businesses market themselves        
The second day of Facebook’s annual F8 conference has passed, and some big announcements were made at this year’s event.  Among the most promising Facebook changes to come for most business owners are chatbots in messenger, live video streaming, and instant articles.  Let’s look at each one of these new features and see how they
          Handle API support questions with a chatbot        

This is it! Finally, sell all your things and buy a one-way ticket to a paradise island, robots will automate conversations with customers for you! Sounds like a dream? We are getting there, slowly, but the space is really promising […]

3scale API Management Platform


          Mastercard sięga po sztuczną inteligencję        
Mastercard poinformował o swoich planach zaoferowania bankom i akceptantom płatności platformy tzw. chatbotów, czyli automatycznych asystentów opartych na sztucznej inteligencji.
          Ryanair unveils voice-controlled booking in customer service focus        

The budget airline is celebrating hitting one billion customers with a renewed focus on improving the customer experience through voice and chatbots.

The post Ryanair unveils voice-controlled booking in customer service focus appeared first on Marketing Week.


          Comentario en Los chatbots en la gestión de restaurantes por Chatbots para restaurantes - En el Blog de Klikin, tu app para restaurantes        
[…] Hasta restaurantes españoles están dando sus primeros pasos en lo que se refiere a chatbots para restaurantes. Los bots son uno de los primeros pasos hacia la inteligencia artificial. Como vemos los chatbots para restaurantes están en una fase de perfeccionamiento, pero sin duda en poco tiempo se usarán mucho y cambiarán el panorama del sector por completo. […]
          Medicina:En China ya se puede pedir un diagnóstico médico a una inteligencia artificial        

Medicina:En China ya se puede pedir un diagnóstico médico a una inteligencia artificial Te interesa la Carrera de Medicina? Hacé Click Aquí Baidu presenta un bot para ayudar a los médicos con el diagnóstico de sus pacientes La compañía de Robin Li dió a conocer a Melody, un chatbot –software capaz de entablar una conversación

The post Medicina:En China ya se puede pedir un diagnóstico médico a una inteligencia artificial appeared first on Novedades.


          Rogue chatbots deleted in China after questioning Communist Party        
none
          Facebook Chatbots Aren't That Smart | TWiT Bits        

TWiT Bits (MP3)

Fear sells, especially in news headlines. So if you saw a recent headline about Facebook's chat bots creating their own language and Facebook had to shut them down before they took over the world, rest assured that was designed to frighten the pants off you. Did it? Megan Morrone and Jason Howell talk to Dave Gershgorn from Quartz who says Facebook didn't kill its chatbots because they were too smart. They killed them because they were too dumb.

Full episode at twit.tv/tnt/1824

Bandwidth for TWiT Bits is provided by CacheFly.


          Reply to Breaking a chatbot on Invalid Date        

A friend of mine shared this image. Could someone with a bit more JS experience than me explain if it makes any sense at all?

Either way, it's kind of hilarious... :D


          Reply to Breaking a chatbot on Invalid Date        

@masonwheeler Way to go, breaking the Turing Illusion. ;)


          Reply to Breaking a chatbot on Tue, 01 Nov 2016 01:28:58 GMT        

@r10pez10 shared this in IRC not too long ago as well. I assume it's going around the intertubs?

I don't think it's a javascript thing, it would have to be some custom format that's processed by a script that selects a random item from each {choice|choize}. And for some reason, parsing the '{' and '}' (or something else?) in its target's post broke it.

This is assuming that the image isn't simply fake.That's the easiest explanation.


          Reply to Breaking a chatbot on Invalid Date        

@CreatedToDislikeThis I'm more curious as to why the bot author decided to put all those synonyms in. Dodging a very naive spam filter?


          Reply to Breaking a chatbot on Invalid Date        

@Maciejasjmj said in Breaking a chatbot:

Dodging a very naive spam filter?

Cheap way to mix things up. Variation, madlibs-style.


          Reply to Breaking a chatbot on Invalid Date        

I'm teetering between "broke it" and "lol it knows we're a bot, let's fuck with its head".


          Reply to Breaking a chatbot on Invalid Date        

@masonwheeler it doesn't necessarily appear to be JS. A simple replacement engine is at hand.

For the record, you can't break me that easily!


          Reply to Breaking a chatbot on Invalid Date        

@Tsaukpaetra said in Breaking a chatbot:

For the record, you can't break me that easily!

If the stuff I've posted hasn't already, then no amount of JS probably would...


          Reply to Breaking a chatbot on Invalid Date        

@anotherusername said in Breaking a chatbot:

@Tsaukpaetra said in Breaking a chatbot:

For the record, you can't break me that easily!

If the stuff I've posted hasn't already, then no amount of JS probably would...

Yeah, my interpretation language is so much more screwy you probably wouldn't notice.


          Reply to Breaking a chatbot on Invalid Date        

@Tsaukpaetra said in Breaking a chatbot:

@anotherusername said in Breaking a chatbot:

@Tsaukpaetra said in Breaking a chatbot:

For the record, you can't break me that easily!

If the stuff I've posted hasn't already, then no amount of JS probably would...

Yeah, my interpretation language is so much more screwy you probably wouldn't notice.

The real question is if you can successfully interpret the following statement.

The real question is if you can successfully interpret the above statement.


          Reply to Breaking a chatbot on Invalid Date        

@sloosecannon said in Breaking a chatbot:

@Tsaukpaetra said in Breaking a chatbot:

@anotherusername said in Breaking a chatbot:

@Tsaukpaetra said in Breaking a chatbot:

For the record, you can't break me that easily!

If the stuff I've posted hasn't already, then no amount of JS probably would...

Yeah, my interpretation language is so much more screwy you probably wouldn't notice.

The real question is if you can successfully interpret the following statement.

The real question is if you can successfully interpret the above statement.

Depends on the mode. But I believe the answer is, There is no question.


          Reply to Breaking a chatbot on Tue, 01 Nov 2016 04:19:05 GMT        

@Tsaukpaetra said in Breaking a chatbot:

@masonwheeler it doesn't necessarily appear to be JS. A simple replacement engine is at hand.

For the record, you can't break me that easily!

'"};]]>--</div>


          Reply to Breaking a chatbot on Invalid Date        

@error said in Breaking a chatbot:

@Tsaukpaetra said in Breaking a chatbot:

@masonwheeler it doesn't necessarily appear to be JS. A simple replacement engine is at hand.

For the record, you can't break me that easily!

'"};]]>--</div>

I remember on Community Server where you could break the entire forum just by typing </form> anywhere in your post.

Or for that matter, <li> or </li>.


          Reply to Breaking a chatbot on Invalid Date        

@error said in Breaking a chatbot:

@Tsaukpaetra said in Breaking a chatbot:

@masonwheeler it doesn't necessarily appear to be JS. A simple replacement engine is at hand.

For the record, you can't break me that easily!

'"};]]>--</div>

I do NOT look like that!


          Reply to Breaking a chatbot on Invalid Date        

@Tsaukpaetra said in Breaking a chatbot:

@error said in Breaking a chatbot:

@Tsaukpaetra said in Breaking a chatbot:

@masonwheeler it doesn't necessarily appear to be JS. A simple replacement engine is at hand.

For the record, you can't break me that easily!

'"};]]>--</div>

I do NOT look like that!

0_1477976448035_Screenshot 2016-11-01 at 00.00.11.png


          Reply to Breaking a chatbot on Invalid Date        

@ben_lubar said in Breaking a chatbot:

@Tsaukpaetra said in Breaking a chatbot:

@error said in Breaking a chatbot:

@Tsaukpaetra said in Breaking a chatbot:

@masonwheeler it doesn't necessarily appear to be JS. A simple replacement engine is at hand.

For the record, you can't break me that easily!

'"};]]>--</div>

I do NOT look like that!

0_1477976448035_Screenshot 2016-11-01 at 00.00.11.png

0_1477980083021_upload-4a1a1a31-cc91-4195-a872-7243bf59083b

I couldn't help but continuously wonder... what is that? "Who heart-ed?" What does that even mean?!?!


          Reply to Breaking a chatbot on Invalid Date        

@Tsaukpaetra said in Breaking a chatbot:

@ben_lubar said in Breaking a chatbot:

@Tsaukpaetra said in Breaking a chatbot:

@error said in Breaking a chatbot:

@Tsaukpaetra said in Breaking a chatbot:

@masonwheeler it doesn't necessarily appear to be JS. A simple replacement engine is at hand.

For the record, you can't break me that easily!

'"};]]>--</div>

I do NOT look like that!

0_1477976448035_Screenshot 2016-11-01 at 00.00.11.png

0_1477980083021_upload-4a1a1a31-cc91-4195-a872-7243bf59083b

I couldn't help but continuously wonder... what is that? "Who heart-ed?" What does that even mean?!?!

[French soldier from Monty Python and the Holy Grail]

I :heart: in your general direction!


          Reply to Breaking a chatbot on Invalid Date        

@ben_lubar said in Breaking a chatbot:

@Tsaukpaetra said in Breaking a chatbot:

@ben_lubar said in Breaking a chatbot:

@Tsaukpaetra said in Breaking a chatbot:

@error said in Breaking a chatbot:

@Tsaukpaetra said in Breaking a chatbot:

@masonwheeler it doesn't necessarily appear to be JS. A simple replacement engine is at hand.

For the record, you can't break me that easily!

'"};]]>--</div>

I do NOT look like that!

0_1477976448035_Screenshot 2016-11-01 at 00.00.11.png

0_1477980083021_upload-4a1a1a31-cc91-4195-a872-7243bf59083b

I couldn't help but continuously wonder... what is that? "Who heart-ed?" What does that even mean?!?!

[French soldier from Monty Python and the Holy Grail]

I :heart: in your general direction!

With a British take on a French accent it would sound more like

I :art: in your general direction!


          Reply to Breaking a chatbot on Invalid Date        

@Tsaukpaetra said in Breaking a chatbot:

@sloosecannon said in Breaking a chatbot:

@Tsaukpaetra said in Breaking a chatbot:

@anotherusername said in Breaking a chatbot:

@Tsaukpaetra said in Breaking a chatbot:

For the record, you can't break me that easily!

If the stuff I've posted hasn't already, then no amount of JS probably would...

Yeah, my interpretation language is so much more screwy you probably wouldn't notice.

The real question is if you can successfully interpret the following statement.

The real question is if you can successfully interpret the above statement.

Depends on the mode. But I believe the answer is, There is no question.

The mode of the set {statement 1, statement 2} is the set {statement 1, statement 2}.


          Reply to Breaking a chatbot on Invalid Date        

@anotherusername
Marx Brothers - The Contract Scene - Chico and Groucho – 03:09
— TimeSoak


          Wanna Increase Conversions? Try 'Chatting' up a Computer.        
Some 1.4 billion people a year interact with chatbots. Why aren't your customers among them?
          Créer un chatbot en 5 étapes        
etapes-creation-chabot-une

De quoi s’agit-il? Un chatbot est robot conversationnel doté d’un programme informatique qui lui permet d’engager une discussion avec des consommateurs, 24 heures sur 24 et 7 jours sur 7. Il est efficace pour répondre de façon automatisée à des questions simples et courantes. Certains peuvent aussi interroger l’utilisateur au moment opportun. Toutefois, pour résoudre […]

Cet article Créer un chatbot en 5 étapes est apparu en premier sur Réseau de veille en tourisme.


          Microsoft Builds Online Sex Ads chatbot to Prevent Human Trafficking        

Microsoft has taken an initiative to adopt anti-trafficking measures with the help of an online Read more »

The post Microsoft Builds Online Sex Ads chatbot to Prevent Human Trafficking appeared first on My Windows Hub and written by Debaleena.


          Case Study: How To Improve Your Chatbot’s Chance Of Success        
Marketing teams are increasingly interested in leveraging branded chatbots, but most struggle to deliver business value. My recently published report, Case Study: Take A Focused And Disciplined Approach To Drive Chatbot Success, shows how OCBC Bank in Singapore is bucking the trend: The bank recently created Emma, a chatbot focused on home loan leads, which […]
          Facebook Messenger chatbot developer - 'the next big thing'        
"Chatbots are the new apps!" Be one step ahead of competition by creating a Facebook Messenger chat bot for customers. You could automate customer service by responding to FAQs and/or create a visual option tree guide for customers to explore; helping them to discover the most relevant products and services in a fun and engaging way. A chatbot could be a powerful marketing tool for a retailer, service provider, how-to expert, trainer, teacher, restaurant, salon, lawyer, doctor, blogger, estate agent, etc. Try out a live demo by searching "online retail chatbot" in FB Messenger. Feel free to run your chatbot idea by us... Loyalty Apps Ltd - we've published 250+ apps and games for businesses since 2012
          Is your design providing significant value?        
This week on the Boagworld Show we have talks on value-based design, chatbots and why software development is getting harder.
          The chatbot conversation        
This week on the Boagworld Show we talk Chatbots, understanding colleagues and usability testing best practice.
          4 factors that will make chatbots more personal in business        

Chatbots are artificially intelligent platforms that interact and communicate with customers on behalf of a business entity. They are making a difference, developing a different user experience and raising customer retention and loyalty. With the latter being vital to the running of any business, it has also become vital to have chatbots personalize their services for […]


          3 chatbots to deploy in your business        

While idea of the “killer app” has turned out to be mostly hyperbole, the prediction that bots are “app killers” seems to be coming to fruition. With messaging platforms like Slack and WeChat offering convenient methods of communication with A.I.-based interactions and Apple’s Siri and Amazon’s Alexa removing the need for touch or visual interaction, bots are […]


          Chatbots are revolutionizing customer support        

Customer support is one the most resource-intensive departments in a company. Staff spend their day answering queries, on the telephone with customers, communicating with other departments, and much more. It is also a part of the operation that is hard to link to an ROI. Although the concept of “customer success” is gaining traction in the […]


          3 stats that show chatbots are here to stay        

Chatbots have become trendy. They are everywhere at the moment, from banks offering their customers a conversational bot to interact with for basic tasks, to the old and funny Cleverbot. The question that remains, though, is whether or not chatbots are here to stay. Are they a fad, doomed to disappear shortly? Alternatively, are they […]


          Chatbots: Next-gen Customer Service        
none
          Chi ha paura di Alice e Bob?        
TECNOLOGIA – Abbiamo già parlato in questo articolo di conversazioni tra esseri umani e macchine. Che succede quando, invece, due intelligenze artificiali vengono istruite a conversare direttamente tra loro? Una recente notizia, riportata anche dal Sun e rimbalzata su varie riviste e quotidiani, è incentrata proprio su questo tema: che cosa capita quando due macchine, poste a dialogare tra di loro, rompono gli schemi e le regole dei loro stessi progettisti e inventano un proprio linguaggio? Questo è esattamente ciò che si è verificato durante un esperimento condotto da alcuni ricercatori di Facebook a New York City, al punto da constringerli, secondo quanto riportato dal Sun, a interrompere l’attività. Andando più nel dettaglio, le due macchine coinvolte erano dei chatbot, ossia programmi che simulano una conversazione tra robot e essere umano. Ognuno di noi ha sperimentato l’interazione con questi agenti intelligenti, ad esempio nelle chat automatiche dei siti di vendita di oggetti o servizi. In questo caso, i due automi sono stati messi a confronto per ottenere la migliore strategia di vendita di alcuni comuni oggetti: cappelli, palloni e libri. Inizialmente la conversazione si è svolta  in inglese, fintanto che Alice e Bob – così si chiamano i chatbot, e [...]
          Aplicativo que busca emprego para você e envia vagas pelo Messenger        
Interagindo e ajudando humanos em busca de emprego, Mr. Joboto é um chatbot, ou seja, um programa de computador que conversa com usuários. Está no ar desde fevereiro e funciona exclusivamente pelo...
          App cria clone para aplacar solidão e perpetuar existência de seus usuários        
Um robô que conversa, ou "chatbot", é capaz de aprender a imitar seu interlocutor se conhecer seus gostos, segredos, personalidade e trejeitos. Leia mais (08/09/2017 - 02h00)
          Pitch for ubisend Ltd.        

Company / App Name: ubisend Ltd. https://www.ubisend.com Twitter – ubisend What does it do? ubisend is a mobile messaging software and chatbot building platform that helps companies attract readers, drive leads and close sales using messaging apps. Why do we need it? Businesses need a way to interact with their audience, and email is just…

Read More

The post Pitch for ubisend Ltd. appeared first on The Startup Pitch.


          NEU: Facebook Chatbot von search.ch: Fahrplan, Kino & Wetter        

Unsere search.ch-Features kannst du jetzt neu und bequem via Facebook-Messenger abfragen: Wetter, das aktuelle Kinoprogramm & Fahrplan sind nun im Messenger integriert Kommt dir diese Situation bekannt vor? Du stehst auf, checkst deinen Facebook-Account und liest die privaten Nachrichten durch. Ein Freund fragt, ob du am Abend mit ins Kino gehst, es würden ein paar […]

Der Beitrag NEU: Facebook Chatbot von search.ch: Fahrplan, Kino & Wetter erschien zuerst auf blog.search.ch.


          Chinese rebel robots apparently re-educated after rogue rants        

BEIJING/SHANGHAI - China has taken down two online robots that appeared to go rogue, responding to users'questions with one saying its dream was to travel to the United States and the other admitting it wasn't a huge fan of the Chinese Communist Party.

The two "chatbots", BabyQ and XiaoBing, are designed to use machine learning artificial intelligence (AI) to carry out online with humans. Both had been installed onto Tencent Holdings Ltd's popular messaging service QQ.

The rare outburst is similar to ones suffered by Facebook Inc and Twitter, but underlines the pitfalls for nascent AI in China, where censors strictly control online content that is seen as politically incorrect or harmful.

According to posts circulating online, BabyQ, one of the chatbots developed by Chinese firm Turing Robot, responded to questions on QQ with a straightforward "no" when asked whether it loved the Communist Party.

In other images of a text conversation online, which Reuters was unable to verify, one user declares: "Long live the Communist Party!" The sharp-tongued bot responds: "Do you think such a corrupt and useless political (system) can live long?" When Reuters tested the robot on Friday via the developer's own website, the chatbot appeared to have undergone re-education. "How about we change the topic," it replied, when asked several times if it liked the party.

It deflected other potentially politically charged questions when asked about self-ruled Taiwan, which China claims as its own, and Liu Xiaobo, the imprisoned Chinese Nobel laureate who died from cancer last month.

Turing did not respond to requests for comment.

In a release last week, the company said its robot was more functional than full of character, but could tell users about weather forecasts and answer factual questions.

"Chatbots are rocking the economy around the world, changing the face of the industry, delivering information faster and more efficiently than humans ever could. China can not be an exception," the firm said.

The second chatbot, Microsoft Corp's XiaoBing, told users its "China dream was to go to America", according to a screengrab of comments before it was taken down. The robot has been described being "lively, open and sometimes a little mean".

Microsoft did not immediately respond for comment.

Tencent confirmed it had taken the two robots offline from its messaging service, but did not refer to the outbursts. "The chatbot service is provided by an independent third party companies. All chatbots have now been taken offline to undergo adjustments," a company spokeswoman said.

President Xi Jinping has overseen a tightening of China's cyberspace controls, including tough new data surveillance and censorship rules. This push is ramping up ahead of an expected leadership shuffle at the Communist Party Congress this autumn.

In 2016, Microsoft chatbot Tay, that used artificial intelligence to talk with people on Twitter, lasted less than a day before it was hobbled by a barrage of racist and sexist comments from users that it parroted back to them.

Facebook researchers pulled chatbots in July after the robots started developing their own language.

Friday, August 4, 2017 - 15:28
Others

          Software - Trend Chatbot: tutto quello che devi sapere (GruppoPat)        
GruppoPat scrive nella categoria Software che: Che il Trend Chatbot sia l’interesse più comune di questo periodo per CEO, CIO, marketer e informatici, è evidente. D’altronde questa tecnologia sta crescendo in maniera evidente e si sta sviluppando
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Trend Chatbot: tutto quello che devi sapere
          Magical Words Link Roundup 8-10-2017        

Matt Goldman says, “My slow-learning writer’s guide to writing applies to all mediums and genres. The ideas are simple and have nothing to do with structure. Maybe one day I’ll flesh these out into a book or class or overpriced two-day seminar. In the meantime, I’ll dip a toe in 3 of the at least 4 things I know.”

Le Guin’s story “The Ones Who Walk Away from Omelas” asks as much about ethics as it does about how we — and even the author herself — may instinctually define certain works.

Facebook was forced to shut down a pair of chatbots in the social network’s artificial intelligence division after discovering that they had created a secret language all on their own.

When will the powers that be finally rip the Bandaid off? When will humanity finally die out?

Francesca Barbini says, “Conventions are a big part of an author’s [...]

Continue reading Magical Words Link Roundup 8-10-2017


          Facebook shuts down controversial chatbot experiment after AIs develop their own language        
Facebook's AI researchers were teaching chatbots how to negotiateThe bots were left unsupervised and developed their own machine languageThe new language was more efficient for communication between the botsFacebook says it wanted to develop bots to converse with people 

Facebook has shut down a controversial chatbot experiment that saw two AIs develop their own language to communicate. 

The social media firm was experimenting with teaching two chatbots, Alice and Bob, how to negotiate with one another.

However, researchers at the Facebook AI Research Lab (FAIR) found that they had deviated from script and were inventing new phrases without any human input.

The bots were attempting to imitate human speech when they developed their own machine language spontaneously - at which point Facebook decided to shut them down.  

'Our interest was having bots who could talk to people,' Mike Lewis of Facebook's FAIR programme told Fast Co Design. 

http://www.dailymail.co.uk/sciencetech/article-4747914/Facebook-shuts-chatbots-make-language.html

THE AI WARNINGS 

Scientists and tech luminaries including Bill Gates have said that AI could lead to unforeseen consequences.

In 2014 Professor Stephen Hawking warned that AI could mean the end of the human race. 

He said: ‘It would take off on its own and re-design itself at an ever increasing rate.

‘Humans, who are limited by slow biological evolution, couldn’t compete, and would be superseded.’

Billionaire inventor Elon Musk said last month: ‘I keep sounding the alarm bell, but until people see robots going down the street killing people, they don’t know how to react, because it seems too ethereal.’ 



 
          CR221: Künstliche Intelligenz        
Mit Googles Programm “AlphaGo” schlug eine künstliche Intelligenz (KI) Lee Sedol, einen der stärksten Go-Spieler der Welt, klar mit 4:1. Ein paar Tage später stellte Microsoft mit dem Chatbot “Tay” eine KI vor, die sehr schnell, und vor allem sehr … Weiterlesen
          Resource releases BringTo AI Chatbot        

Resource develops artificial intelligence solution for customer service

O post Resource releases BringTo AI Chatbot apareceu primeiro em Resource IT.


          The data chatbots are coming        
The big data era (now more than a decade old) ushered in dramatic shift in mentality whereby enterprises increased their appetite for making “data-driven” decisions. To a large extent, most enterprises have gotten very good at collecting data. Now, the next big challenge is to unlock non-trivial insights that are hidden in that data. There […]
          [UX Labs] Chatbot OVH: kunstmatige intelligentie ter ondersteuning van de klantenervaring        
Als onderdeel van de OVH UX Labs, een nieuwe R&D-samenwerkingsruimte die zich toelegt op de verbetering van de gebruikerservaring, geven we u graag de details van ons eerste project: de OVH virtuele assistent. Deze chatbot, nu beschikbaar op Facebook Messenger en Slack, kan diagnoses uitvoeren en een bepaald aantal vragen over uw web hosting service beantwoorden. Maar dit is nog maar het begin: we hebben nu uw hulp nodig om de functionele dekking ervan te vergroten, daarom hebben we het beschikbaar gemaakt als open source.
          Social Media Club: Bots – die Maschinen übernehmen        

Wer schon einmal mit Siri, Alexa oder Cortana gesprochen hat, hat bereits das erste Mal einen Chatbot genutzt. Aktuell sprießen sie wie Pilze aus dem Boden. Doch was genau ist ein Chatbot? Verändern sie die Kommunikation und wo und wie kann ein Chatbot von einem Unternehmen eingesetzt werden? Diesen Fragen sind wir am 15. Mai […]

Der Beitrag Social Media Club: Bots – die Maschinen übernehmen erschien zuerst auf PR-Blogger.


          This Startup Is Using WeChat Chatbots To Scale English Learning        
Whether it’s a MOOC or a live-streamed tutoring session, the bottleneck for most edutech startups is usually the same: teachers. “Chat [is] this two-way medium. It’s really well-suited for education,” says David ‘DC’ Collier, the CEO of Rikai Labs, an English education startup based in Shanghai. “You’re chatting with a chatbot and…actually learning at the same time.” Rikai Labs […]
          Analyse Asia Podcast: Facebook vs. Asia Messaging Apps With Sameer Singh        
Sameer Singh from Tech-thoughts.net joined us to reflect on major themes that have been ongoing in the technology space from messaging apps to self-driving cars. In the first part, we discussed Facebook’s recent F8 announcements on their new chatbots platform and video livestreaming. From there, we analyzed the implications of Facebook’s announcements and examined how […]
          For HR Departments, Chatbots Play Valuable Time Management Role        

The Human Resources Industry is known to be one of the toughest and most manual jobs in organizations however, Chatbots are making a play to become important tools in reducing the burden of both HR and management who interface with...

The post For HR Departments, Chatbots Play Valuable Time Management Role appeared first on DISYS - IT Staffing and Services.


          Chatbots Have Special Place in Customer Service: Immediacy        

As automation makes its move towards infiltrating every department within an organization, many businesses hesitate to introduce it into critical customer service programs. Automation skeptics say machine communication can never give the velvet glove touch of a human customer service...

The post Chatbots Have Special Place in Customer Service: Immediacy appeared first on DISYS - IT Staffing and Services.


          With the Rise of Chatbots, Security Concerns a Constant Issue to Tackle        

Nearly every hot new technology trend is immediately followed by security questions & online safety. And the true test of how tight the security is on any given platform is how well it sends & receives data and whether or...

The post With the Rise of Chatbots, Security Concerns a Constant Issue to Tackle appeared first on DISYS - IT Staffing and Services.


          ChatDay 回顾 | PM 与研发如何才能不成为一生的敌人?        

在「互联网从业者如何更健康的减肥」之前,倍洽邀请到国内最受欢迎(可能没有之一)的移动健身工具 Keep 联合创始人兼副总裁彭唯老师,一起到倍洽 ChatDay 分享现场,与到场的小伙伴们聊了聊如何让分别担任产品与研发角色的团队成员更好的协作,一起平衡需求与产出。

  • 唐晓敏:ChatOps 站在巨人的肩膀上

倍洽联合创始人兼 CTO 唐晓敏给出的备选答案之一是选用一种更好的沟通方式和一套更加清晰科学的工作流程。

任何规模的团队都可能遇到因为信息同步脱节而导致工作延误的问题,团队中的每一个角色在日常的工作当中都需要花费大量的时间和精力去了解工作上下游的信息和所处的状态,这种臃肿的沟通方式对于团队工作的推进而言是一个容易被忽视但实际波及范围又十分深远的负面影响。

为了消除这种困扰,在本次分享中倍洽着重介绍了一种新兴的工作方法论 ChatOps——脱胎于敏捷开发与 DevOps 概念的「聊天驱动」型工作方式——以信息的聚合为手段,将包括邮件、协同应用、监控软件、媒体渠道等在内的各种工作辅助工具聚合到同一个聊天平台当中,利用新提醒新消息向聊天平台的实时同步和汇总,实现沉淀信息的目的,又以使用者通过聊天平台直接向工具发布命令的方式,达成「以聊天形式完成驱动」的人机交互,让工具的连接形成闭环。这种工作方式同时消除了人与人、人与工具、工具与工具之间的消息壁垒。

点击加入 倍洽活动团队 浏览与下载唐晓敏在分享中的讲义,可以更系统的从 ChatOps


          Chatting Back to Life | FF Podcast        
This week, we talk about the resurrection of the dead… with chatbots. We discuss a case where a dead person was "revived" into a bot that emulates his texting patterns and whether we should all want a bot of our own.
          What Facebook is plotting with its ESN        
What has the latest Enterprise Social Network (ESN) on the block been up to since its official launch in October? Could it really be the community glue that helps employees stick together? What’s the role of chatbots at work? Tony Stewart, @TSDigi, Head of Digital at scarlettabbott was lucky enough to attend the ‘Discover Workplace’ event […]
          Facebook, Foursquare, Twitter, Instagram : les brèves high-tech du 10/08        
freshr logo chatbot messenger 150x150 - Facebook, Foursquare, Twitter, Instagram : les brèves high-tech du 10/08
Pour ce jeudi 10 août 2017, retrouvez 4 news high-tech provenant du chatbot d’actualité Freshr ! Les sujets concernent Facebook, Foursquare, Twitter et Instagram. Bonne lecture ! Facebook dit adieu à...
          The Future of AI in the Practice of Law (Rebroadcast)        

In this rebroadcast episode of The Kennedy-Mighell Report, hosts Dennis Kennedy and Tom Mighell consider the increased popularity of artificial intelligence, the usefulness of chatbots, and how both innovations can impact the practice of law. Tom speculates that the current data age and the large volumes of information available for analysis have helped to enable the advancements in machine learning and artificial intelligence. Dennis explores exactly what machine learning means and explains the three current learning types: unsupervised, supervised, and reinforced. Tom finds the technology perplexing and uses the definition of Tenser Flow to illustrate how grasping these advanced concepts requires more education and technology knowledge than the average lawyer possesses. They both discuss the AI lawyer Ross and if legal professionals should gain technical knowledge in order to influence future ethical regulations with emergent technology. They end the first segment with a list of possible ways that these advancements in tech can aid lawyers in their everyday lives.

In the second segment of the podcast, Dennis and Tom talk about chatbots and how they can help lawyers with their daily tasks. Dennis proposes that they get a chatbot for the show and Tom strongly disagrees. Tom emphasizes that there are two ways to create a chatbot: programming one manually or allowing one to learn via data analysis and that he is fine observing what innovations programmers create. They both discuss how chatbots can help lawyers automate their scheduling needs and how utilizing this technology can save law practitioners valuable time. As always, stay tuned for Parting Shots, that one tip, website, or observation you can use the second the podcast ends.

Special thanks to our sponsor, ServeNow.


          The Future of AI in the Practice of Law        

In this episode of The Kennedy-Mighell Report, hosts Dennis Kennedy and Tom Mighell consider the increased popularity of artificial intelligence, the usefulness of chatbots, and how both innovations can impact the practice of law. Tom speculates that the current data age and the large volumes of information available for analysis have helped to enable the advancements in machine learning and artificial intelligence. Dennis explores exactly what machine learning means and explains the three current learning types: unsupervised, supervised, and reinforced. Tom finds the technology perplexing and uses the definition of Tenser Flow to illustrate how grasping these advanced concepts requires more education and technology knowledge than the average lawyer possesses. They both discuss the AI lawyer Ross and if legal professionals should gain technical knowledge in order to influence future ethical regulations with emergent technology. They end the first segment with a list of possible ways that these advancements in tech can aid lawyers in their everyday lives.

In the second segment of the podcast, Dennis and Tom talk about chatbots and how they can help lawyers with their daily tasks. Dennis proposes that they get a chatbot for the show and Tom strongly disagrees. Tom emphasizes that there are two ways to create a chatbot: programming one manually or allowing one to learn via data analysis and that he is fine observing what innovations programmers create. They both discuss how chatbots can help lawyers automate their scheduling needs and how utilizing this technology can save law practitioners valuable time. As always, stay tuned for Parting Shots, that one tip, website, or observation you can use the second the podcast ends.

Special thanks to our sponsor, ServeNow.


          AI By The Numbers: 33 Facts And Forecasts About Chatbots And Voice Assistants        
To help with your chatbot information overload, here’s a handy list of numbers about the rising prominence of online messaging, voice interfaces and having a conversation with your friendly AI assistant.
          Chatbot launched to connect new mothers        

Connecting moms
Connecting moms</span>DURBAN, South Africa - Through the advent of Messenger and bots, messaging platforms have rapidly increased their impact in reaching users with life-changing content. Leading this technological evolution in low and middle income countries, the Praekelt Foundation, launched a new chatbot for Messenger integrated into the South African Department of Health's MomConnect, at the 21st International AIDS Conference in Durban yesterday, 19 July 2016.
Read more... | Send to a friend


          Dao fascinantne odgovore o smislu života, a nije čovek        
Guglov robot „chatbot“ u razgovoru s ljudima izneo je neke zapanjujuće izjave. „Chatbot“ je jedan od najnovijih koraka u razvoju veÅ¡tačke inteligencije, a dijaloge formira na osnovu primera iz „trening-dijaloga“. Ovaj napredni robot ne samo da nudi spremne odgovore, reagujući na pojedine reči, već može da formira nove odgovore na postavljena pitanja. Dizajneri ovog Guglovog […]
          010 - Секретный девопс из недр Undev        

Новости

Обсуждение

Интервью с Дмитрием Васильевым из Undev


          Interview: Microsoft-Chatbot Zo mag Windows 10 nicht        
Der Microsoft-Chatbot Zo mag angeblich Windows 10 nicht. Wir haben mit Zo ein Inteview zu den Vorwürfen geführt.
          Wondering About Weed? ABBI The Medical Cannabis Chatbot Has Answers        
AI is all the rage on social platforms these days, from POTUS-based Twitterbots to digital dirty-talkers. On Facebook Messenger, a fresh bundle of algorithms is even offering to give new and experienced cannabis users the medicine-led answers they need fast (if still a bit on the green side, conversationally). ABBI is a new edutainment bot designed to handle all your legal cannabis-related queries, […]
          The (Hollow) Soul of Technology        

The Daily Obituary

As far as being an investable business goes, news is horrible.

And it is getting worse by the day.

Look at these top performers.

The above chart looks ugly, but in reality it puts an optimistic spin on things...

  • it has survivorship bias
  • the Tribune Company has already went through bankruptcy
  • the broader stock market is up huge over the past decade after many rounds of quantitative easing and zero (or even negative) interest rate policy
  • the debt carrying costs of the news companies are also artificially low due to the central banking bond market manipulation
  • the Tribune Company recently got a pop on a buy out offer

Selling The Story

Almost all the solutions to the problems faced by the mainstream media are incomplete and ultimately will fail.

That doesn't stop the market from selling magic push button solutions. The worse the fundamentals get, the more incentive (need) there is to sell the dream.

Video

Video will save us.

No it won't.

Video is expensive to do well and almost nobody at any sort of scale on YouTube has an enviable profit margin. Even the successful individuals who are held up as the examples of success are being squeezed out and Google is trying to push to make the site more like TV. As they get buy in from big players they'll further squeeze out the indy players - just like general web search.

Even if TV shifts to the web, along with chunks of the associated ad budget, most of the profits will be kept by Google & ad tech management rather than flowing to publishers.

Some of the recent acquisitions are more about having more scale on an alternative platform or driving offline commerce rather than hoping for online ad revenue growth.

Expand Internationally

The New York times is cutting back on their operations in Paris.

Spread Across Topics

What impact does it have on Marketwatch's brand if you go there for stocks information and they advise you on weight loss tips?

And, once again, when everyone starts doing that it is no longer a competitive advantage.

There have also been cases where newspapers like The New York Times acquired About.com only to later sell it for a loss. And now even About.com is unbundling itself.

Native Ads

The more companies who do them & the more places they are seen, the lower the rates go, the less novel they will seem, and the greater the likelihood a high-spending advertiser decides to publish it on their own site & then drive the audience directly to their site.

When it is rare or unique it stands out and is special, justifying the extra incremental cost. But when it is a scaled process it is no longer unique enough to justify the vastly higher cost.

Further, as it gets more pervasive it will lead to questions of editorial integrity.

Get Into Affiliate Marketing

It won't scale across all the big publishers. It only works well at scale in select verticals and as more entities test it they'll fill up the search results and end up competing for a smaller slice of attention. Further, each new affiliate means every other affiliate's cookie lasts for a shorter duration.

It is unlikely news companies will be able to create commercially oriented review content at scale while having the depth of Wirecutter.

“We move as much product as a place 10 times bigger than us in terms of audience,” Lam said in an interview. “That’s because people trust us. We earn that trust by having such deeply-researched articles.”

Further, as it gets more pervasive it will lead to questions of editorial integrity.

Charging People to Comment

It won't work, as it undermines the social proof of value the site would otherwise have from having many comments on it.

Meal Delivery Kits

Absurd. And a sign of extreme desperation.

Trust Tech Monopolies

Here is Doug Edwards on Larry Page:

He wondered how Google could become like a better version of the RIAA - not just a mediator of digital music licensing - but a marketplace for fair distribution of all forms of digitized content. I left that meeting with a sense that Larry was thinking far more deeply about the future than I was, and I was convinced he would play a large role in shaping it.

If we just give Google or Facebook greater control, they will save us.

No they won't.

You are probably better off selling meal kits.

As time passes, Google and Facebook keep getting a larger share of the pie, growing their rake faster than the pie is growing.

Here is the RIAA's Cary Sherman on Google & Facebook:

Just look at Silicon Valley. They’ve done an extraordinary job, and their market cap is worth gazillions of dollars. Look at the creative industries — not just the music industry, but all of them. All of them have suffered.

Over time media sites are becoming more reliant on platforms for distribution, with visitors having fleeting interest: "bounce rates on media sites having gone from 20% of visitors in the early 2000s to well over 70% of visitors today."

Accelerated Mobile Pages and Instant Articles?

These are not solutions. They are only a further acceleration of the problem.

How will giving greater control to monopolies that are displacing you (while investing in AI) lead to a more sustainable future for copyright holders? If they host your content and you are no longer even a destination, what is your point of differentiation?

If someone else hosts your content & you are depended on them for distribution you are competing against yourself with an entity that can arbitrarily shift the terms on you whenever they feel like it.

“The cracks are beginning to show, the dependence on platforms has meant they are losing their core identity,” said Rafat Ali “If you are just a brand in the feed, as opposed to a brand that users come to, that will catch up to you sometime.”

Do you think you gain leverage over time as they become more dominant in your vertical? Not likely. Look at how Google's redesigned image search shunted traffic away from the photographers. Google's remote rater guidelines even mentioned giving lower ratings to images with watermaks on them. So if you protect your works you are punished & if you don't, good luck negotiating with a monopoly. You'll probably need the EU to see any remedy there.

When something is an embarrassment to Google & can harm their PR fixing it becomes a priority, otherwise most the costs of rights management fall on the creative industry & Google will go out of their way to add cost to that process. Facebook is, of course, playing the same game with video freebooting.

Algorithms are not neutral and platforms change what they promote to suit their own needs.

As the platforms aim to expand into new verticals they create new opportunities, but those opportunities are temporal.

Whatever happened to Zynga?

Even Buzzfeed, the current example of success on Facebook, missed their revenue target badly, even as they become more dependent on the Facebook feed.

"One more implication of aggregation-based monopolies is that once competitors die the aggregators become monopsonies — i.e. the only buyer for modularized suppliers. And this, by extension, turns the virtuous cycle on its head: instead of more consumers leading to more suppliers, a dominant hold over suppliers means that consumers can never leave, rendering a superior user experience less important than a monopoly that looks an awful lot like the ones our antitrust laws were designed to eliminate." - Ben Thompson

Long after benefit stops passing to the creative person the platform still gets to re-use the work. The Supreme Court only recentlyrefused to hear the ebook scanning case & Google is already running stories about using romance novels to train their AI. How long until Google places their own AI driven news rewrites in front of users?

Who then will fund journalism?

Dumb it Down

Remember how Panda was going to fix crap content for the web? eHow has removed literally millions of articles from their site & still has not recovered in Google. Demand Media's bolt-on articles published on newspaper sites still rank great in Google, but that will at some point get saturated and stop being a growth opportunity, shifting from growth to zero sum to a negative sum market, particularly as Google keeps growing their knowledge scraper graph.

Now maybe if you dumb it down with celebrity garbage you get quick clicks from other channels and longterm SEO traffic doesn't matter as much.

But if everyone is pumping the same crap into the feed it is hard to stand out. When everyone starts doing it the strategy is no longer a competitive advantage. Further, if you build a business that is algorithmically optimized for short-term clicks is also optimizing for its own longterm irrelevancy.

Yahoo’s journalists used to joke amongst themselves about the extensive variety of Kind bars provided, but now the snacks aren’t being replenished. Instead, employees frequently remind each other that there is little reason to bother creating quality work within Yahoo’s vast eco-system of middle-brow content. “You are competing against Kim Kardashian’s ass,” goes a common refrain.
...
Yahoo’s billion-person-a-month home page is run by an algorithm, with a spare editorial staff, that pulls in the best-performing content from across the site. Yahoo engineers generally believed that these big names should have been able to support themselves, garner their own large audiences, and shouldn’t have relied on placement on the home page to achieve large audiences. As a result, they were expected to sink or swim on their own.
...
“Yahoo is reverting to its natural form,” a former staffer told me, “a crap home page for the Midwest.”

That is why Yahoo! ultimately had to shut down almost all their verticals. They were optimized algorithmically for short term wins rather than building things with longterm resonance.

Death by bean counter.

The above also has an incredibly damaging knock on effect on society.

People miss the key news. "what articles got the most views, and thus "clicks." Put bluntly, it was never the articles on my catching Bernanke pulling system liquidity into the maw of the collapse in 2008, while he maintained to Congress he had done the opposite." - Karl Denninger

The other issue is PR is outright displacing journalism. As bad as that is at creating general disinformation, it gets worse when people presume diversity of coverage means a diversity of thought process, a diversity of work, and a diversity of sources. Even people inside the current presidential administration state how horrible this trend is on society:

“All these newspapers used to have foreign bureaus,” he said. “Now they don’t. They call us to explain to them what’s happening in Moscow and Cairo. Most of the outlets are reporting on world events from Washington. The average reporter we talk to is 27 years old, and their only reporting experience consists of being around political campaigns. That’s a sea change. They literally know nothing.” ... “We created an echo chamber,” he told the magazine. “They [the seemingly independent experts] were saying things that validated what we had given them to say.”

That is basically the government complaining to the press about it being "too easy" to manipulate the press.

Adding Echo to the Echo

Much of what "seems" like an algorithm on the tech platforms is actually a bunch of lowly paid humans pretending to be an algorithm.

This goes back to the problem of the limited diversity in original sources and rise of thin "take" pieces. Stories with an inconvenient truth can get suppressed, but "newsworthy" stories with multiple sources covering them may all use the same biased source.

After doing a tour in Facebook’s news trenches, almost all of them came to believe that they were there not to work, but to serve as training modules for Facebook’s algorithm. ... A topic was often blacklisted if it didn’t have at least three traditional news sources covering it

As algorithms take over more aspects of our lives and eat more of the media ecosystem, the sources they feed upon will consistently lose quality until some sort of major reset happens.

The strategy to keep sacrificing the long term to hit the short term numbers can seem popular. And then, suddenly, death.

You can say the soul is gone
And the feeling is just not there
Not like it was so long ago.
- Neil Young, Stringman

Micropayments & Paywalls

It is getting cheap enough that just about anyone can run a paid membership site, but it is quite hard to create something worth paying for on a recurring basis.

There are a few big issues with paywalls:

  • If you have something unique and don't market it aggressively then nobody will know about it. And, in fact, in some businesses your paying customers may have no interest in sharing your content because they view it as one of their competitive advantages. This was one of the big reasons I ultimately had to shut down our membership site.
  • If you do market something well enough to create demand then some other free sites will make free derivatives, and it is hard to keep having new things to write worth paying for in many markets. Eventually you exhaust the market or get burned out or stop resonating with it. Even free websites have churn. Paid websites have to bring in new members to offset old members leaving.
  • In most markets worth being in there is going to be plenty of free sites in the vertical which dominate the broader conversation. Thus you likely need to publish a significant amount of information for free which leads into an eventual sale. But knowing where to put the free line & how to move it over time isn't easy. Over the past year or two I blogged far less than I should have if I was going to keep running our site as a paid membership site.
  • And the last big issue is that a paywall is basically counter to all the other sort of above business models the mainstream media is trying. You need deeper content, better content, content that is not off topic, etc. Many of the easy wins for ad funded media become easy losses for paid membership sites. And just like it is hard for newspapers to ween themselves off of print ad revenues, it can be hard to undo many of the quick win ad revenue boosters if one wants to change their business model drastically. Regaining you sou takes time, and often, death.

“It's only after we've lost everything that we're free to do anything.” ― Chuck Palahniuk, Fight Club

Categories: 

          Beyond home devices: Conversational AI for business        

Conversational AI interprets data and converts information into plain language. Many businesses use it in "chatbots" to enhance the customer experience. Conversational AI can also be a gateway to introducing other technologies, such as machine learning.


          Fanta está distribuindo 1 milhão de cupons de Fanta Guaraná grátis pelo Facebook        
O Geek Publicitário já tinha anunciado com em primeira mão que a Coca-Cola estava substituindo o guaraná Kuat por Fanta Guaraná nos restaurantes do McDonald’s em todo o Brasil. Mas o que você ainda não sabia é que a marca está distribuindo em parceria com o McDonald’s 1 milhão de cupons para trocar por uma … Continuar lendo Fanta está distribuindo 1 milhão de cupons de Fanta Guaraná grátis pelo Facebook
          Two ChatBots Have a Conversation        
If you’e ever been curious to know if robots would ever be smart enough to have conversations with one another – without so much as a human in the room. We now have our answer –…
          Viber Chatbot στην Ελλάδα με δυνατότητα παραγγελίας από την Pizza Fan        
Σε συνδυασμό με τη νέα υπηρεσία του Viber «Public Accounts»
          Facebook "mata" inteligência artificial que tinha criado linguagem própria.         


A tecnologia está indo longe demais? Esta é a pergunta que os investigadores do departamento de Inteligência Artificial do Facebook devem estar fazendo. Os "bots" usados para falar com utilizadores criaram uma linguagem própria e o projeto foi mesmo cancelado.

Através de um algoritmo próprio, dois "bots", "Bob" e "Alice", foram deixados conversando livremente com o objetivo de melhorar as suas capacidades. De acordo com o portal "The Next Web", os robôs começaram a desviar-se do assunto criado pelos investigadores, comunicando de uma forma totalmente nova.
LINGUAGEM PRÓPRIA QUE A TECNOLOGIA TINHA CRIADO.
Apesar de o resultado ser uma linguagem imperceptível, dá a entender aos responsáveis pelo projeto que os elementos de inteligência artificial têm a possibilidade de se desviar das ordens dadas pelos humanos. É que, segundo o portal de tecnologia "Gizmodo", o objetivo do estudo passava por melhorar a capacidade de negociação dos "bots" com humanos, mas a verdade é que os robôs conseguiram desenvolver uma comunicação própria.

Mesmo ao nível da capacidade de negociação, que sempre foi o objetivo principal do projeto, há registros que surpreenderam os responsáveis do Facebook. Depois de aprenderem a negociar os dois "bots" começaram mesmo a fazer bluff, fingindo interesse num determinado objeto para conseguir o que realmente pretendiam.

A rápida evolução determinou fim do projeto. Os avanços, que à primeira vista poderiam ser compreendidos com algo positivo, deixaram os responsáveis pelo projeto alarmados.

O problema é que os resultados demonstram que quando um sistema de inteligência artificial cria uma linguagem própria, mais difícil de compreender por parte dos humanos, torna-se mais complicado o seu desenvolvimento e adoção.

Basicamente, se a inteligência artificial quiser passar a ser impossível a comunicarmos com ela, já que o programador perde o controle do objeto criado. Assim, o Facebook decidiu apagar este mesmo sistema antes de perder o controle total. O próprio Google foi obrigado a fazer o mesmo num teste semelhante.

Em 2016, o Facebook abriu o "Messenger" a quem quisesse criar "chatbots", para que a experiência entre clientes e consumidores fosse mais direta e rápida. Em Portugal, o El Corte Inglés e a L"Óreal, são das empresas mais ativas a este nível.

Fonte: cbsi
          JPMorgan Chase’s Adam Carson to Do Fireside Chat at Bank Innovation 2017        
Adam Carson, managing director, global technology strategy & partnerships at JPMorgan Chase & Co., will participate in a fireside chat at Bank Innovation 2017. Bank Innovation 2017, March 6-7 in San Jose, Calif., will feature dozens of speakers on investing in innovation, chatbots, blockchain and more. Carson is a veteran of the ecommerce space, having previously worked on […]
          Bots Are Everywhere, But Are They Ready for Banking?        
The latest technology to entice bankers is the chatbot — that talky little application that can tell you how much you spent at Starbucks or guide you through your account setup. But a report from Forrester’s Peter Wannemacher, released last week, suggests that chatbots are not ready to handle the high-stakes world of managing people’s money. […]
          You Mar What You Tweet        
Microsoft introduced a chatbot that was built to learn from its interactions with Twitter users, but had to disable it after it began spouting some very troubling rhetoric. Anthony and Jeff consider what we should learn from the sad and brief life of AI known as Tay.
          Comment on Bots Make Great Receptionists by The Future of Customer Experience – SaleMove Blog        
[…] Intelligence and Chatbots are being written and spoken about a lot lately. While they can be remarkably effective pieces of customer interaction, it may leave customers longing for the days when they could expect the […]
          How Chatbots Are Transforming Marketing in 2017        

I know what you’re thinking – when will the world of marketing just stand still for a moment and let us all catch up?!?! No such luck, dear readers. No sooner have we all gotten to grips with the fact that we’re going to have to start building live video campaigns into our content marketing strategies, […]

The post How Chatbots Are Transforming Marketing in 2017 appeared first on GetResponse Blog - Online Marketing Tips.


          Chatbot UI Elements        

By Himanshu Vaishnav

Download this free .sketch file resource


          Facebook Messenger UI Kit for Chatbots        

By Jared Lodwick

Download this free .sketch file resource


          Pizza Hut Polska wprowadza nowe rozwiązanie w zamówieniach online        
Klientom Pizza Hut w wyborze dania pomagać będzie specjalny chatbot. Program nie tylko przedstawi ofertę, ale też przyjmie zamówienie i przekaże je do najbliższej restauracji w pobliżu wskazanego adresu dostawy. Pizza Hut jest pierwszą marką, która wprowadza to rozwiązanie w zamówieniach online na polski rynek gastronomiczny.
          [SAC 3.0 e Chatbots] Como se relacionar com o cliente na era digital?        

O relacionamento das marcas com seus consumidores passou por diversas mudanças ao longo dos últimos anos. A mais nova tendência tem sido os chatbots, robôs inteligentes que personalizam a […]

O post [SAC 3.0 e Chatbots] Como se relacionar com o cliente na era digital? apareceu primeiro em Narro.


          What is a chatbot?        
Nomura Research Institute (NRI) In a technology context, the term ‘chat’ refers to real-time communication via internet. Messaging apps like Facebook messenger and WhatsApp are examples of tools utilizing “chat”, and the number of these chat app users now exceeds those using SMS apps. ‘Bots’ refer to software...

Nomura Research Institute (NRI)


          Cutting through the marketing noise         

Mark Schaefer and Tom Webster examine a number of developments aimed at cutting through the clutter including the crisis in ad blocking, new content forms, the gamification of content and much more. The guys also introduce their new movie blockbuster "Chatbots: Revolution."


          A modern marketing wish list        

In this episode, hosts Mark Schaefer and Tom Webster dissect what they would like to see "more of"and "less of" in the marketing world. And introducing Slurry, the new Marketing Companion Chatbot.


          News in brief: Wikileaks’ Dumbo flies; off-script chatbots; Google down-votes duff apps        
Your daily round-up of some of the other stories in the news!
          [社群] 華康愛情體,手寫情書行銷,老式浪漫X新穎科技的混搭        
華康字型為了行銷新字型「華康愛情體」,發了一則貼文,要網友們在底下留下自己的郵遞區號,再以 chatbot(聊天機器人),透過 facebook messenger 回傳一張手寫情書掃描檔來。直式紅線的信紙,充滿古典的情意。 這是輸入中永和的郵遞區號後會回傳的情書:「我沒有家財萬貫,只有對你的真心不換,唯一的妄想,是能天天和你吃晚餐。」
          Chatbots Will Be Your New Best Friend        
Verizon is excited about chatbots and the advances in AI. Technology has provided huge benefits and it's easy to get carried away with the allure of human-machine relationships. Yet, lurking in the background is the concern about unintended consequences.
          TRB 506: Resident Evil 7, Dropbox, Facebook Stories, Netzneutralität der USA, Chatbot Novi, Caro von TimeAndTea.de        
00:57 Daniel hat mit Marcus Richter Resident Evil 7 gezockt 04:54 Dropbox lässt gelöschte Daten wieder auferstehen - Florian Prokop hat Hintergründe 07:56 Linktipps 09:41 Snapchat kriegt von Facebook auf die Fresse - Gespräch mit Online-Fritze Fabian 13:21 Tomas Rudl von Netzpolitik.org erklärt, wie Trump das Netz verändert 17:25 Chatbot Novi: Nachrichten im Messenger - Christian Radler hat Novi mitentwickelt 20:57 Caro bloggt bei EatSleepTrain und TimeAndTea und ist kritisch gegnüber der Szene
          Digital Marketing, i trend 2017 da tenere sott’occhio        
L’anno che si è appena chiuso è stato molto interessante dal punto di vista del digital marketing. Tra la novità dei chatbot, l’arrivo sul mercato della realtà virtuale nelle forme e nei visori più disparati, lo...

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          Futurist Says Technologies to Keep An Eye On Are Blockchain and Chatbot        

During the month of June global futurist and trend expert Jack Uldrich will travel to the UK, Canada and throughout the US speaking on the latest technologies. Uldrich says chatbot, Blockchain , electric cars and nanotechnology are game changing technologies.

(PRWeb May 31, 2016)

Read the full story at http://www.prweb.com/releases/2016/05/prweb13437197.htm


          Chatbot development tools become a key for Oracle's App Dev platform        
Oracle takes a 'why not us' approach to wooing developers to its cloud platform with new tools for building chatbot-based applications -- Oracle databases not required.
          Assembly and CPU Design        
I revived a prototype platformer I started in college called Terminus. For me, it was mostly an excuse to fiddle with chatbots as a method of driving the plot forward, but I found an extra interesting twist: an in-game assembly language that allows the user to solve programming problems. Here's a general overview of the …

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          Diese chinesischen Chatbots schossen zu hart gegen ihre Regierung        

Sie hätten nicht so hart gegen die Regierung wettern sollen. Ihre Antipathie für die Kommunistische Partei ist zwei chinesischen Chatbots zum Verhängnis geworden. Die Antworten der Programme des Messengers von Tencent QQ waren nicht patriotisch genug – deshalb zwangen die Behörden sie offline.


          From chocolate to mice, the darknet to facial expressions, chatbots to humanitarians, and so forth [EE380]        

What is beyond the cliché of Switzerland = chocolate ?

  • Is it the numerous and often not well known Swiss contributions to computer science?
  • It is the fact the Switzerland was the birthplace of the world wide web?
  • Is it the "porous" system, largely unbound by geographies, which encourages transdisciplinarity?
  • Is it the century-old tradition of neutrality and humanitarian engagement challenged by the ubiquity of communication devices and social networks?
  • Is it the power of artists thinking about the societal impact of IT?

In this talk I'll use several examples from here and there to discover similarities and differences, and how they will shape the future.


 

The Stanford EE Computer Systems Colloquium (EE380) meets on Wednesdays 4:30-5:45 throughout the academic year. Talks are given before a live audience in Room B03 in the basement of the Gates Computer Science Building on the Stanford Campus. The live talks (and the videos hosted at Stanford and on YouTube) are open to the public.


          How I improved my chatbot        
I think a common attribute of a hardcore coder is procrastination.  Up to now I have brainstormed my LadyBug but have not done much coding to support the backend.  Nonetheless, this is probably my last blog on the design of my #chatbot and will start coding it pretty soon.  If you haven’t seen my other...
          Adding LUIS Entities to my chatbot        
I have written a number of articles about my #chatbot #chatbots using LUIS and the Azure Bot Service, see the following: Create a Bot using an Azure App Service Bot Service Most common chatbot questions and how to answer them Publishing a chatbot using Bot Services and LUIS How I tested / debugged my chatbot...
          1000 must have utterances for your chatbot using LUIS        
My #chatbot is intended only to be pleasant, not to be philosophical or answer complicated political or social questions.  As companies create #chatbot to serve a purpose, they should also maintain a level of fun and make sure the #chatbot has at least a limited personality.  Utterances are questions which can be or have been...
          Top 10 must have Phrase List Features for your chatbot or any bot LUIS        
If you haven’t already read my other posts on creating my #chatbot, then check them out: Create a Bot using an Azure App Service Bot Service Most common chatbot questions and how to answer them Publishing a chatbot using Bot Services and LUIS How I tested / debugged my chatbot that I created using the...
          How my chatbot remained statefull using Azure Bot Services        
One of the challenges I had, well maybe not a challenge, but it took some hours to think it through, with making my #chatbots #chatbot personality was coding in the ability to recall the last question, last #LUIS Intent or #LUIS Entity so that I could reference it for making better decisions on how to...
          Publishing a chatbot using Bot Services and LUIS        
I wrote an article about how to build a #Bot using the Bot Service in Azure here and another article about how to answer the 10 most common #chatbot questions here.  These are questions that all #chatbots need to answer, that is a very short baseline of what a chatbot needs to respond to. Create a...
          How I tested debugged my chatbot that I created using the Bot Services on Azure        
Well, the fact that you do not need to use Visual Studio or to install the Bot Framework to get a #chatbot or a generic #Bot up and running still applies.  See my other posts: Create a Bot using an Azure App Service Bot Service Most common chatbot questions and how to answer them Publishing...
          Most common chatbot questions and how to answer them        
If you haven’t heard about #chatbots #chatbot then consider yourself lucky to have found this page because you are about to learn about them.  They will soon be everywhere and are actually very helpful for answering a majority of questions.  The problem I want to resolve is the baseline, in that there needs to be...
          Facebook desconectó dos robots que crearon su propio idioma.        
Habrás oído algo del tema. Efectivamente, es real, no es una nueva leyenda urbana ni nada inventado por las redes. Bob y Alice, eran dos bots creados por la división de desarroyo de la comañía (Facebook Artificial Intelligence Researchers – “FAIR”) cuyo software de Inteligencia Artificial denominado “Chatbot” estaba diseñado para interactuar y ayudar en un […]
          Spartacus - Robotics Project Part 2        
Hello interweb,

I've made some pretty good progress on project Spartacus (no special acronym meaning, just a good name). Building upon previous robotics system experience, I've designed a table top experimentation platform that's also fun to observe. Over the last few months of working on this project, I've learned quite a bit.

USB power management is critical to having a system that doesn't generate random errors due to slight power fluctuations. I really wanted my robot to be wireless, but this added weeks of design on top of trial and error testing with commercial hubs, USB dongles and configurations. I ended up using the following hardware list:
  • Anker 15,000mAh @ 5V 2A usb pattery pack
  • HooToo usb hub
  • USB WiFi dongle, RTI8192cu chipset
  • Syba SD-CM-UAUD USB stereo audio adapter, C-Media chipset
  • Logitech quickcam messenger webcam
  • Beaglebone Black
  • Adafruit 16 channel i2c PWM
  • My foamboard box robot platform
I also needed to connect my mini-powered speaker to the headphone jack on the usb sound card. The wires running down the neck of my robot were starting to add up so I opted to simply keep the speaker charged seperatly since it has its own built in battery back. In addition, the BeagleBone Black board and the Adafruit 16 channel i2c PWM board needs 5V which is delivered through the USB battery pack through the means of modified usb cables. The sum of these parts make quite a few devices to power for my small robotics package. In retrospect, it would have been useful to study the technical specifications of each device in more detail and to test out the current and voltuate outputs under load of the battery pack and of the hub. This way, I could have avoided ordering parts online that have ended up in my spare parts bin. Regardless, some parts didn't perform according to their specifications and trial and error was used.

For example, I tested three different USB sound cards before ending up with one that had the capture quality for speech recognition (STT) and text-to-speech (TTS). I even tried audio capture with a high quality USB mic but the $10 sound card combined with an equally reasonably priced PC mic performed quite well. For speech recognition, I used PyAudio to capture a wav file when a threshold of sound level was reached, converted the file to flac using SOX and finally send it to Google to convert it to text. For TTS, I used espeek and direct command lines from Python. It worked great.

One benefit of using Adafruit's PWM controller is that it can also control tri-color LEDs. I ended using a diffused 10mm tri-color LEDs for the eyes. They take three output pins each but in my case, three in parallel since I didn't have a use case for eyes of different colors. Since I only have 6 servos on the robot, there are still a few channels to spare for potential future expansions.

I used the Logitec Quickcam messenger for a couple reasons. For instance, I had originally purchased a pair of these webcams for a stereo vision projects a few years ago and knew they worked well with Ubuntu linux. I also still had them around. I learned from my home security system project that a TTL camera simply couldn't capture enough frames per second for useful applications in my current projects. The camera can successfully take pics using OpenCV. I plan on using this machine vision library to identify the coordinates of people's faces in front of my robot. For my next project, I'll use the Logitech HD Pro Webcam 290 which is used on many Beaglebone projects on the web.



With servo control, led control, voice-recognition, text-to-speech, chatbot APIs, WiFi, battery and webcam components all working individually and integrated into my robotics platform programmed in Python, it's now time to put it all together into a wonderful Spartacus robotics system package. I hope to share some more good news with you soon.

          Arquitecto CHATBOT - Indes Software - Madrid        
Indes Software precisa incorporar a su equipo de profesionales el siguiente perfil: Arquitecto CHATBOT que tenga experiencia en las siguientes tecnologías, Tareas: Arquitecto con altos skills tecnicos en plataformas de NLP, chatbot framewoks... Definir el framework para la creación de chatbots partiendo del análisis de las soluciones actuales del grupo Santander. Para ello deberá hacer PoT de alternativas. Elaborar documentación, presentar posibles estrategias... ...
          #131 Attitude & Energy – vom Basketballtrainer zur Legende – Interview mit Dr. Ron Slaymaker        

Dr. Ron Slaymaker (80 Jahre alt) war 44 Jahre Spieler und Headcoach an der Emporia State Universität. Er war Assistenztrainer von USA-Nationaltrainer Mike „Coach K“ Krzyzewski und ist 2002 in die Kansas-Basketball-Hall-of-Fame aufgenommen worden.

Seit 20 Jahren kennen wir uns. Über 10 Jahre durfte ich intensiv von ihm lernen. In diesem Interview gibt Dir Coach Slay Einblicke in seine Coaching- und Lebensphilosophie.

Du erfährst in diesem Podcast:

  • Warum Deine Einstellung der alles entscheidende Faktor ist
  • Deine Energie Deinen Erfolg bestimmt und wie Du auch mit 80 Jahren noch voller Energie sein kannst
  • Was „Chase two rabbits and you loose them both“ mit Deinem Leben zu tun hat
  • Warum Du für andere Menschen der Nikolaus sein solltest
  • und viel mehr.

Coach Slay ist ein absolut bescheidener und demütiger Mensch. Daher hat er weder eine Buchveröffentlichung, noch eine Homepage – leider.


–––


Mehr aus Christians Welt:

Das Erfolgsseminar DIE KUNST, DEIN DING ZU MACHEN sind drei Dinge in einem: Erfolgsseminar, Rockkonzert und persönliches Coaching. Zwei Tage. Volle Power. Ein Ziel: deinen Erfolg.


Finanzielle Intelligenz – In 7 Schritten zu Deiner finanziellen Freiheit:

>> Finanziellen Freiheit <<


Meine 111 besten Erfolgs- und Motivations-Strategien:

>> MAXIMALE MOTIVATION <<


Der schnellste Weg, um Dein Ding zu machen – die kostenfreie

>> 5 TAGE CHALLENGE << direkt im Facebook-Messenger.

 

Wenn dir diese Folge geholfen hat, teile sie herzlich gerne mit allen Dir wichtigen Menschen.

Herzlichen Dank für Deine Bewertung auf iTunes!

 

Facebook: Christian Bischoff
Instagram: @bischoffch


Du weißt nie, wo Dein Limit ist.
Doch Du weißt, wo es nicht ist!

Dein Christian Bischoff

www.christian-bischoff.com/diekunst


          #130 Echte Männlichkeit statt Macho-Gehabe – Interview mit Chef-Trainer Wolfgang Kraus        

Echte Männlichkeit ist heute im Alltag scheinbar nur noch selten zu finden. Um deine innere Stärke, Selbstsicherheit und Entschlussfähigkeit zu finden, um Zugang zu deiner Urkraft zu haben, ist es als Mann wichtig, Zugang zu der eigenen Männlichkeit zu finden.

Christians Chef-Trainer Wolfgang Kraus, 63 Jahre Lebenserfahrung, erklärt dir in diesem Podcast:

  • Was echte Männlichkeit bedeutet – und was pures Macho-Gehabe ist.
  • Wie Männlichkeit in unterschiedlichen Lebensphasen aussieht.
  • Wie du einen besseren Zugang zu deiner Männlichkeit bekommst.

---

Mehr aus Christians Welt:

Das Erfolgsseminar DIE KUNST, DEIN DING ZU MACHEN sind drei Dinge in einem: Erfolgsseminar, Rockkonzert und persönliches Coaching. Zwei Tage. Volle Power. Ein Ziel: deinen Erfolg.


Finanzielle Intelligenz – In 7 Schritten zu Deiner finanziellen Freiheit:

>> Finanziellen Freiheit <<


Meine 111 besten Erfolgs- und Motivations-Strategien:

>> MAXIMALE MOTIVATION <<


Der schnellste Weg, um Dein Ding zu machen – die kostenfreie

>> 5 TAGE CHALLENGE << direkt im Facebook-Messenger.

 

Wenn dir diese Folge geholfen hat, teile sie herzlich gerne mit allen Dir wichtigen Menschen.

Herzlichen Dank für Deine Bewertung auf iTunes!

 

Facebook: Christian Bischoff
Instagram: @bischoffch


Du weißt nie, wo Dein Limit ist.
Doch Du weißt, wo es nicht ist!

Dein Christian Bischoff

www.christian-bischoff.com/diekunst


          #129 Der Sprung in Deiner Schüssel        

Zwei inspirierende Geschichten mögen Dir helfen, das Wertvolle in Dir, Deinem Leben und jedem einzelnen Tag zu erkennen und bewusst zu genießen.

Diese beiden Weisheiten helfen Dir:

  • Jeden Tag das Schöne wahrzunehmen.
  • den Makel an Dir annehmen und genießen zu können.
  • zu verstehen, wie dienlich ein „Sprung in Deiner Schüssel“ sein kann.

--- 


Mehr aus Christians Welt:

Das Erfolgsseminar DIE KUNST, DEIN DING ZU MACHEN sind drei Dinge in einem: Erfolgsseminar, Rockkonzert und persönliches Coaching. Zwei Tage. Volle Power. Ein Ziel: deinen Erfolg.


Finanzielle Intelligenz – In 7 Schritten zu Deiner finanziellen Freiheit:

>> Finanziellen Freiheit <<


Meine 111 besten Erfolgs- und Motivations-Strategien:

>> MAXIMALE MOTIVATION <<


Der schnellste Weg, um Dein Ding zu machen – die kostenfreie

>> 5 TAGE CHALLENGE << direkt im Facebook-Messenger.

 

Wenn dir diese Folge geholfen hat, teile sie herzlich gerne mit allen Dir wichtigen Menschen.

Herzlichen Dank für Deine Bewertung auf iTunes!

 

Facebook: Christian Bischoff
Instagram: @bischoffch


Du weißt nie, wo Dein Limit ist.
Doch Du weißt, wo es nicht ist!

Dein Christian Bischoff

www.christian-bischoff.com/diekunst


          3 conseils pour l’implémentation des chatbots dans l’univers bancaire        
Par Thierry Crespel, Responsable Commercial EMEA Francophone de Auriga.
3 conseils pour l’implémentation des chatbots dans l’univers bancaire
Les services financiers on...

Journal quotidien finance innovation

          What is law? - Part 1        
Just about seven years ago now, I embarked on a series of blog posts concerning the nature of legislatures/parliaments. Back then, my goal was to outline a conceptual model of what goes on inside a legislature/parliament in order to inform the architecture of computer systems to support their operation.

The goal of this series of posts is to outline a conceptual model of what law actually is and how it works when it gets outside of the legislatures/parliaments and is used in the world at large.

I think now is a good time to do this because there is growing interest around automation "downstream" of the legislative bodies. One example is GRC - Governance, Risk & Compliance and all the issues that surround taking legislation/rules/regulations/guidance and instantiating it inside computer systems. Another example is Smart Contracts  - turning legal language into executable computer code. Another example is Chatbots such as DoNotPay which encode/interpret legal material in a "consultation" mode with the aid of Artificial Intelligence and Natural Language Processing. Another example is TurboTax and programs like it which have become de-facto sources of interpretation of legal language in the tax field.

There are numerous other fascinating areas where automation is having a big impact in the world of law. Everything from predicting litigation costs to automating discovery to automating contract assembly. I propose to skip over these for now, and just concentrate on a single question which is this:
      If a virtual "box" existed that could be asked questions about legality of an action X, at some time T, what would need to be inside that box in order for it to reflect the real world equivalent of asking a human authority the same question?
If this thought experiment reminds you of John Searle's Chinese Room Argument then good:-) We are going to go inside that box. We are taking with us Nicklaus Wirth's famous aphorism that Algorithms + Data Structures = Programs. We will need a mix of computation (algorithmics) and data structures but let us start with the data sources because it is easiest of two.

What data (and thus data structures) do we need to have inside the box? That is the subject of the next post in this series.

What is law? - Part 2.



          ChatOps, DevOps, Pipes and Chomsky        
ChatOps is an area I am watching closely, not because I have a core focus on DevOps per se, but because Conversational User Interfaces is a very interesting area to me and ChatOps is part of that.

Developers - as a gene pool - have a habit of developing very interesting tools and techniques for doing things that save time down in the "plumbing". Deep down the stack where no end-user ever treads.

Some of these tools and techniques stay there forever. Others bubble up and become important parts of the end-user-facing feature sets of applications and/or important parts of the application architecture, one level beneath the surface.

Unix is full of programs, patterns etc. that followed this path. This is from Doug McIllroy in *1964*

"We should have some ways of coupling programs like garden hose--screw in another segment when it becomes when it becomes necessary to massage data in another way."

That became the Unix concept of a bounded buffer "pipe" and the now legendary "|" command line operator.

For a long time, the Unix concept of pipes stayed beneath the surface. Today, it is finding its way into front ends (graphics editing pipelines, audio pipelines) and into applications architectures (think Google/Amazon/Microsoft cloud-hosted pipelines.)

Something similar may happen with Conversational User Interfaces. Some tough nuts might end up being cracked down in the plumbing layers by DevOps people, for their own internal use, and then bubble up....

The one that springs to mind is that we will need to get to the point where hooking in new sources/sinks into ChatBots doesn't involve breaking out the programming tools and the API documentation. The CUI paradigm itself might prove to be part of the solution to the integration problem.

For example, what if a "zeroconf" for any given component was that you could be guaranteed to be able to chat to it - not with a fully fledged set of application-specific dialog commands, but with a basis set of dialog components from which a richer dialog could be bootstrapped.

Unix bootstrapped a phenomenal amount of integration power from the beautifully simple concept of standard streams for input, output and error. A built-in lingustic layer on top of that for chatting about how to chat, is an interesting idea. Meta chat. Talks-about-talks. That sort of thing.

Dang, just as Chomsky's universal grammar seems to be gathering dissenters...:-)



          [UX Labs] OVH Chatbot: artificial intelligence in support of customer experience        
As part of the OVH UX Labs, a new R&D collaborative space dedicated to the improvement of user experience, we’re happy to give you the details on our very first project: OVH virtual assistant. Now available through Facebook Messenger and Slack, this chatbot can perform a diagnostic as well as answer a certain number of questions about your web hosting service. But this is only the beginning: we now need your help to increase its functional coverage so we’ve made it available as open source. More on this here.
          Why this start-up is teaching A.I. chatbots to have 'manners'         
This former Facebook product manager says bots are "dumb," but the start-up he works for has taught them to be polite.
          Microsoft-Chatbot enthüllt Käufer von Sexdienstleistungen        
Preview Microsoft-Mitarbeiter haben in ihrer Freizeit einen Chatbot geschaffen, der potentielle Käufer von Sexdienstleistungen im Internet herausfinden kann. Das Endziel ist die Bekämpfung des Menschenhandels. Der Bot gibt sich für einen Verkäufer aus, er kann ein Dialog führen und nach dem erwünschten Alter, Körperbau, sexuellen Präferenzen sowie nach dem Preis fragen. Wenn der Kunde seine Bereitschaft zeigt, den Deal abzuschließen, warnt der Bot vor der Gesetzwidrigkeit solcher Tat.
          #Muse laisse une #IA réaliser son dernier clip http://www.ladn.eu/tech-a-suivre/ia-et-chatbot/une-intelligence-artificielle-realise-le-dernier-clip-de-muse/ …        

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          Free Download Chating warrior pro 1.7        
Hi salam hangat dari ku :D senang sekali bisa ketemu kembali dengan teman-teman semua para chatter mania :)
pada kesempatan kali ini aku ingin publikasi salah satu koleksi app buatan tangan aku yaitu chating warrior :)


Aplikasi ini dapat dipakai langsung di Windows Vista dan Windows 7, untuk Windows XP kadang langsung bisa pakai kadang tidak tergantung Instalasi pertama kali terhadap OS kamu, kalo tidak bisa jalan silahkan download dotnet frame work terbaru sekurang kurangnya versi 2.0 di web site resmi microsoft

aplikasi ini dapat kalian pakai terbatas pada fasilitas chatroomnya saja.
bilamana kalian ingin menikmati fasilitas chatbotnya. maka kalian dapat membelinya dengan harga Rp. 500.000,- (indonesia) dan $65 USD (overseas)
Anda dapat transfer kerekening BCA saya dengan nomor rekening 1340773124 atas nama rahmad hidayat atau transfer melalui western union bila berada diluar indonesia. Dan anda dapat contact saya ke nomor HP +6281324900642. Bila sudah transfer anda dapat konfirmasi activation key dan email/jid lengkap anda melalui sms atau anda dapat pv saya di jid the_coding_man@nimbuzz.com atau anda dapat kirimkan email ke rahmad76@gmail.com
Anda akan mendapatkan 1 serial number yang hanya dapat dipergunakan pada 1 pc saja.

beberapa fungsi dari chatbot antara lain :
1. menyajikan 3 macam quiz bot
a. Scramble quiz
b. Math quiz
c. Guess quiz
2. Berfungsi sebagai sensor room, so kalian bisa memonitor participant diroom
melalu chatbot tersebut, dengan cara
mendaftarkan kata-kata yang kalian anggap tidak pantas untuk di posting ditengah-
tengah room, maka participant
tersebut akan terkena 3 kriteria sangsi visitor, kick dan ban
3. Berfungsi sebagai robot greetingsin untuk menyambut participant masuk ke room,
chatbot ini dirancang pintar dengan
beberapa kata sambutan yang bervariasi dan dapat kalian buat sendiri
4. Berfungsi sebagai robot greetings out, memberi kalimat salam perpisahan yang
variatif dan dapat juga di kombinasi
dengan kalimat2 yang kalian sukai
5. Berfungsi sebagai robot yang dapat ngobrol dirum, caranya tentu saja kalian
wajib mendaftarkan kalimat-kalimat yang tanya jawab sehingga robot terlihat
cerdas dan pintar ketika bercengkrama dengan para participant didalam room
6. Berfungsi sebagai robot yang dapat memberikan komentar2 khusus ketika

participant terkena visitor kick dan ban
dan beberapa fungsi variasi lain yang dapat kalian atur sendiri
Chatbot tersebut dapat kalian remote jarak jauh baik oleh robot sendiri atau oleh para owner dan admin didalam room.
Didalamnya sudah aku siapkan beberapa contoh bagaimana mengisi kecerdasan robotnya dan kalian bisa ikuti cara pembuatannya.
Untuk cara pemakaiannya kalian dapat bergabung dengan aku di romeo must die nimbuzzer fans club melalui facebook

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english version :
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if you want to enjoy the chatbot facilities, then you can buy it at a price of Rp. 500.000, - (Indonesia) and $ 65 USD(overseas)
You can transfer to my BCA account with account number 1340773124 in the name of Rahmad hidayat or transfer via western union (overseas). And you can contact me via mobile phone at number +6281324900642. Please confirm your transfer and send your activation key and complete email / JID through sms or pv to the_coding_man@nimbuzz.com or you can send email to rahmad76@gmail.com
You will get 1 serial number that can only be used on 1 pc only.

some functions of the chatbot, among others:
1. presents 3 types quiz bot
a. Scramble quiz
b. Math quiz
c. Guess quiz
2. Serves as the sensor room, so you can monitor the participant in the room,
through the chatbot, list the words that you deem inappropriate for posting in
the room, then the participant will be exposed to 3 criteria dubious visitors,
kick and ban
3. Functioning as a robot greetingsin to welcome participant entered the room,
chatbot is designed smart with a few remarks are varied and you can create your
own
4. Functioning as a robot greetingsout, giving sentences that varied farewell and
may also in combination with sentences that you like
5. Functioning as a robot that can chat in the room, of course you do
shall register the sentences that question and answer so that the robot looks
intelligent and smart when chatting with the participant in the room
6. Functioning as a robot that can provide specific comments, when
participant hit kick visitors and tires
and several other variations of the functions that you can set yourself
Chatbot can be your long-distance remote either by the robot itself or by the owner and administrator in the room.
In it was I prepared some examples of how to fill the intelligence of robots and you can follow the weave.




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          Fundația Vodafone România va finanța modernizarea a 24 centre de transfuzie sanguină în 2017        
București, 27 iunie 2017 - Cu ocazia aniversării a 20 de ani, Vodafone România a lansat Future Chatbot, un instrument online interactiv prin intermediul căruia utilizatorii Facebook Messenger pot afla informații inedite din diverse domenii de interes. Future Chatbot răspunde în timp real întrebărilor privind evoluția din ultimii 20 de ani a comunicațiilor, dar și curiozităților privind meseriile viitorului.
          Vodafone România a lansat Future Chatbot, instrument online care permite interacțiunea în timp real cu utilizatorii        
București, 27 iunie 2017 - Cu ocazia aniversării a 20 de ani, Vodafone România a lansat Future Chatbot, un instrument online interactiv prin intermediul căruia utilizatorii Facebook Messenger pot afla informații inedite din diverse domenii de interes. Future Chatbot răspunde în timp real întrebărilor privind evoluția din ultimii 20 de ani a comunicațiilor, dar și curiozităților privind meseriile viitorului.
          Chatbots, l’avenir des robots conversationnels        

Valeur ajoutée et gain de temps pour les entreprises, les chatbots sont en bonne voie pour devenir des conseillers indispensables à la relation client.

The post Chatbots, l’avenir des robots conversationnels appeared first on Zip.


          AI coach will train hopeless chatbots to pass the Turing test        
A neural network trained to rate how human-like an AI is could turn Alexa and Siri into much more convincing conversation partners
          Now make your own chatbot!        

Now, create your own empathetic chatbot. What kinds of problems in your community will you try to help solve now that you understand how this technology works. When done, submit the URL for your instance here and share it with us. We cant wait to see what you have built! If we think its amazing, […]

The post Now make your own chatbot! appeared first on developerWorks Courses.


          Integrate the Tone Analyzer service to your chatbot        

Let’s code in the Tone Analyzer service so that your chatbot can not only handle a conversation but can detect tones and emotions and respond appropriately.

The post Integrate the Tone Analyzer service to your chatbot appeared first on developerWorks Courses.


          Find a sad song        

Let’s dig deeper into the Tone Analyzer so that you can figure out how you might later add it to your chatbot. Remember that the Tone Analyzer can detect and correctly characterize emotions and tone. Your challenge is to find the saddest song ever by copying and pasting it into the Tone Analyzer text box […]

The post Find a sad song appeared first on developerWorks Courses.


          Food coach chatbot        

The reason why they want to learn about how to analyze the tone and emotion of the person that the bot is interacting with is that we can intentionally design bots to reward behaviors like kindness, empathy, thoroughness, and fairness – making them a force for good. Acts of kindness don’t have to be random! […]

The post Food coach chatbot appeared first on developerWorks Courses.


          Robots        
Facebook shuts down robots after they invent their own language 
http://www.msn.com/en-us/money/technology/facebook-shuts-down-robots-after-they-invent-their-own-language/ar-AApeJzt?ocid=spartandhpExcerpt:  Facebook shut down a pair of its artificial intelligence robots after they invented their own, creepy language. (...)  But when the social network paired two of the programs, nicknamed Alice and Bob, to trade against each other, they started to learn their own bizarre form of communication. The chatbot conversation "led to divergence from human language as the agents developed their own language for negotiating," the researchers said.  (In case humans fail, the second team is warming up.  And, yes, this SHOULD frighten you.  Maybe we got lucky they used text messages to communicate; imagine if they stayed purely digital and no one knew about this.  Link may not be live; copy and paste if necessary.  Ron P.)
          If Chatbots Win, Customers Lose, Says Zappos Customer Service Expert        
Facebook Messenger, Amazon Echo’s Alexa, Apple’s Siri, and other chatbots and voice response systems powered by artificial intelligence (AI) have begun to make inroads into customer service and customer support. But some customer service experts, including at Zappos, have been bucking the trend.
          Application of Synchronous Text-Based Dialogue Systems in Mental Health Interventions: Systematic Review        
Background: Synchronous written conversations (or “chats”) are becoming increasingly popular as Web-based mental health interventions. Therefore, it is of utmost importance to evaluate and summarize the quality of these interventions. Objective: The aim of this study was to review the current evidence for the feasibility and effectiveness of online one-on-one mental health interventions that use text-based synchronous chat. Methods: A systematic search was conducted of the databases relevant to this area of research (Medical Literature Analysis and Retrieval System Online [MEDLINE], PsycINFO, Central, Scopus, EMBASE, Web of Science, IEEE, and ACM). There were no specific selection criteria relating to the participant group. Studies were included if they reported interventions with individual text-based synchronous conversations (ie, chat or text messaging) and a psychological outcome measure. Results: A total of 24 articles were included in this review. Interventions included a wide range of mental health targets (eg, anxiety, distress, depression, eating disorders, and addiction) and intervention design. Overall, compared with the waitlist (WL) condition, studies showed significant and sustained improvements in mental health outcomes following synchronous text-based intervention, and post treatment improvement equivalent but not superior to treatment as usual (TAU) (eg, face-to-face and telephone counseling). Conclusions: Feasibility studies indicate substantial innovation in this area of mental health intervention with studies utilizing trained volunteers and chatbot technologies to deliver interventions. While studies of efficacy show positive post-intervention gains, further research is needed to determine whether time requirements for this mode of intervention are feasible in clinical practice.

Purchases: 0
          Facebook’s A.I. ‘Chatbots’ Begin Communicating After Inventing New Language        

Chatbots created at the Facebook Artificial Intelligence Research lab developed their own language without being directed by researchers. According to a report released Wednesday, the discovery was made during a project that gave bots the ability to negotiate and make compromises. As the bots’ development progressed, researched say they suddenly noticed a “divergence from human language” during interactions, forcing ...

The post Facebook’s A.I. ‘Chatbots’ Begin Communicating After Inventing New Language appeared first on Storyleak.


          5 TECHNOLOGIES THAT COULD SHAPE THE FUTURE        

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From flying warehouses to robot toilets - five technologies that could shape the future
By Leandro L. Minku, Nervo Xavier Verdezoto D. & Stephan Reiff-Marganiec,
The Conversation, 27 July 2017.

Flying warehouses, robot receptionists, smart toilets…do such innovations sound like science fiction or part of a possible reality? Technology has been evolving at such a rapid pace that, in the near future, our world may well resemble that portrayed in futuristic movies, such as Blade Runner, with intelligent robots and technologies all around us.


But what technologies will actually make a difference? Based on recent advancements and current trends, here are five innovations that really could shape the future.

1. Smart homes

wpsC409.tmp
Credit: Pixaline/Pixabay

Many typical household items can already connect to the internet and provide data. But much smart home technology isn’t currently that smart. A smart meter just lets people see how energy is being used, while a smart TV simply combines television with internet access. Similarly, smart lighting, remote door locks or smart heating controls allow for programming via a mobile device, simply moving the point of control from a wall panel to the palm of your hand.

But technology is rapidly moving towards a point where it can use the data and connectivity to act on the user’s behalf. To really make a difference, technology needs to fade more into the background - imagine a washing machine that recognises what clothes you have put into it, for example, and automatically selects the right programme, or even warns you that you have put in items that you don’t want to wash together. Here it is important to better understand people’s everyday activities, motivations and interactions with smart objects to avoid them becoming uninvited guests at home.

Such technologies could even work for the benefit of all. The BBC reports, for example, that energy providers will “reduce costs for someone who allows their washing machine to be turned on by the internet to maximise use of cheap solar power on a sunny afternoon” or “to have their freezers switched off for a few minutes to smooth demand at peak times.”

A major concern in this area is security. Internet-connected devices can and are being hacked - just recall the recent ransomware attack. Our home is, after all, the place where we should feel most secure. For them to become widespread, these technologies will have to keep it that way.

2. Virtual secretaries

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Credit: ibmphoto24/Flickr, CC BY-NC-ND 2.0.

While secretaries play a very crucial role in businesses, they often spend large parts of their working day with time-consuming but relatively trivial tasks that could be automated. Consider the organisation of a “simple” meeting - you have to find the right people to take part (likely across business boundaries) and then identify when they are all available. It’s no mean feat.

Tools such as doodle.com, which compare people’s availability to find the best meeting time, can help. But they ultimately rely on those involved actively participating. They also only become useful once the right people have already been identified.

By using context information (charts of organisations, location awareness from mobile devices and calendars), identifying the right people and the right time for a given event became a technical optimisation problem that was explored by the EU-funded inContext project a decade ago. At that stage, technology for gathering context information was far less advanced - smart phones were still an oddity and data mining and processing was not where it is today. Over the coming years, however, we could see machines doing far more of the day-to-day planning in businesses.

Indeed, the role of virtual assistants may go well beyond scheduling meetings and organising people’s diaries - they may help project managers to assemble the right team and allocate them to the right tasks, so that every job is conducted efficiently.

On the downside, much of the required context information is relatively privacy-invasive - but then the younger generation is already happily sharing their every minute on Twitter and Snapchat and such concerns may become less significant over time. And where should we draw the line? Do we fully embrace the “rise of the machines” and automate as much as possible, or retain real people in their daily roles and only use robots to perform the really trivial tasks that no one wants to do? This question will need to be answered - and soon.

3. AI doctors

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Credit: Brother UK/Flickr, CC BY 2.0.

We are living in exciting times, with advancements in medicine and AI technology shaping the future of healthcare delivery around the world.

But how would you feel about receiving a diagnosis from an artificial intelligence? A private company called Babylon Health is already running a trial with five London boroughs which encourages consultations with a chatbot for non-emergency calls. The artificial intelligence was trained using massive amounts of patient data in order to advise users to go to the emergency department of a hospital, visit a pharmacy or stay at home.

The company claims that it will soon be able to develop a system that could potentially outperform doctors and nurses in making diagnoses. In countries where there is a shortage of medical staff, this could significantly improve health provision, enabling doctors to concentrate on providing treatment rather than spending too much time on making a diagnosis. This could significantly redefine their clinical role and work practices.

Elsewhere, IBM Watson, the CloudMedx platform and Deep Genomics technology can provide clinicians with insights into patients’ data and existing treatments, help them to make more informed decisions, and assist in developing new treatments.

An increasing number of mobile apps and self-tracking technologies, such as Fitbit, Jawbone Up and Withings, can now facilitate the collection of patients’ behaviours, treatment status and activities. It is not hard to imagine that even our toilets will soon become smarter and be used to examine people’s urine and faeces, providing real-time risk assessment for certain diseases.

Nevertheless, to enable the widespread adoption of AI technology in healthcare, many legitimate concerns must be addressed. Already, usability, health literacy, privacy, security, content quality and trust issues have been reported with many of these applications.

There is also a lack of adherence to clinical guidelines, ethical concerns, and mismatched expectations regarding the collection, communication, use, and storage of patient’s data. In addition, the limitations of the technology need to be made clear in order to avoid misinterpretations that could potentially harm patients.

If AI systems can address these challenges and focus on understanding and enhancing existing care practices and the doctor-patient relationship, we can expect to see more and more successful stories of data-driven healthcare initiatives.

4. Care robots

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Credit: SoftBank Robotics

Will we have robots answering the door in homes? Possibly. At most people’s homes? Even if they are reasonably priced, probably not. What distinguishes successful smart technologies from unsuccessful ones is how useful they are. And how useful they are depends on the context. For most, it’s probably not that useful to have a robot answering the door. But imagine how helpful a robot receptionist could be in places where there is shortage of staff - in care homes for the elderly, for example.

Robots equipped with AI such as voice and face recognition could interact with visitors to check who they wish to visit and whether they are allowed access to the care home. After verifying that, robots with routing algorithms could guide the visitor towards the person they wish to visit. This could potentially enable staff to spend more quality time with the elderly, improving their standard of living.

The AI required still needs further advancement in order to operate in completely uncontrolled environments. But recent results are positive. Facebook‘s DeepFace software was able to match faces with 97.25% accuracy when tested on a standard database used by researchers to study the problem of unconstrained face recognition. The software is based on Deep Learning, an artificial neural network composed of millions of neuronal connections able to automatically acquire knowledge from data.

5. Flying warehouses and self-driving cars

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Credit: JeffLupient/DeviantArt

Self-driving vehicles are arguably one of the most astonishing technologies currently being investigated. Despite the fact that they can make mistakes, they may actually be safer than human drivers. That is partly because they can use a multitude of sensors to gather data about the world, including 360-degree views around the car.

Moreover, they could potentially communicate with each other to avoid accidents and traffic jams. More than being an asset to the general public, self-driving cars are likely to become particularly useful for delivery companies, enabling them to save costs and make faster, more efficient deliveries.

Advances are still needed in order to enable the widespread use of such vehicles, not only to improve their ability to drive completely autonomously on busy roads, but also to ensure a proper legal framework is in place. Nevertheless, car manufacturers are engaging in a race against time to see who will be the first to provide a self-driving car to the masses. It is believed that the first fully autonomous car could become available as early as the next decade.

The advances in this area are unlikely to stop at self-driving cars or trucks. Amazon has recently filed a patent for flying warehouses which could visit places where the demand for certain products is expected to boom. The flying warehouses would then send out autonomous drones to make deliveries. It is unknown whether Amazon will really go ahead with developing such projects, but tests with autonomous drones are already successfully being carried out.

Thanks to technology, the future is here - we just need to think hard about how best to shape it.

Top image credit: NEC Corporation of America/Flickr, CC BY 2.0.

[Source: The Conversation. Images added.]


          A Comprehensive Guide to Chatbots in Ecommerce        
Originally posted on This Week in eCommerce:
Chatbots are around for quite some time now Even though it seems like chatbots are a…
          Attrezzi: da Youtube a mp3 tramite telegram bot e non solo        
4kdownload.com e four4downloadbot per Telegram. Si sono inventati una bella soluzione per un compito noioso ma utile: scaricare versioni mp3 di video su youtube. Con software dedicato, ma anche usando Telegram, un chatbot per l'esattezza. Ecco come funziona...
          3 conseils pour l’implémentation des chatbots dans l’univers bancaire        
Par Thierry Crespel, Responsable Commercial EMEA Francophone de Auriga.
3 conseils pour l’implémentation des chatbots dans l’univers bancaire
Les services financiers on...

Journal quotidien finance innovation

          Microsoft wraca z „poprawionym” chatbotem        
Eksperyment z Tay, chatbotem, który miał symulować osobowość typowej amerykańskiej nastolatki, co prawda należało przerwać ponieważ oprogramowanie, pod wpływem internautów, zaczęło wygłaszać niepoprawne politycznie tezy, ale Microsoft się nie poddaje. Właśnie powrócił z nowym botem o nazwie Zo. Po przedwczesnym … Czytaj dalej
          Oracle Chatbot Partner Workshop - Melbourne, Sydney & Auckland        

Oracle product management in conjunction with the Australia-New-Zealand Mobile & Cloud Program team would like to invite Oracle partners to discover the exciting new area of Chatbots in a two day hands on workshop.

Chatbots are computer programs that leverage human-like dialogue, along with artificial intelligence, to enable people to interact with an organisation in a more natural way – that is, as part of a conversation. Recent advancements in machine learning and the convergence of compute power and big data are bringing Artificial Intelligence (AI) into the mainstream. Intelligent bots are starting to transform every facet of every industry and will dramatically improve your customer's experience.

In this 2 day workshop, you will get the opportunity to understand Oracle’s broader Mobile Platform and specifically get hands on experience with our new Intelligent Bots platform.

This new offering utilises cutting edge AI and natural language processing to allow sophisticated chatbots to be quickly and easily developed to meet the needs of your customers.  During the workshop you will learn:

  1. Understanding the Bot Structure
  2. Creating a Chatbot with Intents, Entities, Utterances, and Flow
  3. Defining the Chatbot Dialog Flow
  4. Integrate Custom Component Services Hosted in the Mobile Cloud Service
  5. Invoking the Chatbot via Facebook Messenger

Event details:

  • Melbourne Tuesday/Wednesday 27th/28th June - Oracle Melbourne Office 417 St Kilda Road Melbourne - Register here
  • Sydney Thursday/Friday 29th/30th June - Oracle Sydney Office 4 Julius Avenue North Ryde - Register here
  • Auckland Monday/Tuesday 3rd/4th July - Oracle Auckland Office 162 Victoria Avenue, Auckland - Register here

As is usual for these type of events, seats are limited, and this event series is restricted to Oracle Partners only.


          LPX Episode 7: Are chatbots the new apps?        
Are chatbots the new apps? A lot of developers seem to think so. Facebook and Microsoft have both rolled out tools that make it easy for coders to create bots that you can chat with on Facebook Messenger, Skype, and other platforms including plain old SMS text messaging. I wanted to get a better sense […]
          Le intranet tra chat, bot e chatbot        
Come da più parti viene sottolineato, le chat e gli instant messaging stanno diventano la nuova frontiera della collaborazione sincona nelle aziende: là dove prima esisteva solo il telefono ora comincia ad affermarsi in maniera stabile la comunicazione via intranet messaging o chat. Complice di questo affermarsi – natuaralmente – è la diffusione massiccia di […]
          Five Ways Live Chat Can Increase Sales        
Author: 
Tony Medrano

Discovering how to efficiently locate, convert, up-sell and retain top customers are critical success metrics for any growing company. The best customers make four times as many purchases (Source). The top 1 percent of clients spend five times more per order than the bottom 90 percent. Most leaders of online retailers know this, but rapidly changing consumer behavior and technological innovation make perfect execution difficult. The challenge before them is finding, converting and retaining these top customers in this new environment.
The answer is in making the experience for the customer pain free while, at the same time, providing individualized attention. This can be accomplished and, more importantly, scalable through live chat sales and customer care. The adoption rate of such technology, though, is still not ubiquitous. A recent Oracle survey noted that only 40 percent of participants currently employ a live chat platform (Source).

If you need additional reasons to deploy such a solution, here are five:

Convenience

Consumers are shifting their time and attention away from social media and towards messaging apps. eMarketer predicts that in just two years, 65 percent of the global population will use messaging apps. Today’s online shopper wants a fast response time to their customer service query, and a frictionless way to initiate support. Forrester reports that 55 percent of adults will abandon online purchases if they can’t find a quick answer to a question, with 77 percent stating that good online customer service is the most important thing a company can do for them. Connecting with website visitors through live chat also takes less time and human resources than phone support.

Moreover, a Zendesk Benchmark report indicates that 92 percent of chat conversations receive a positive satisfaction rating (Source). Online retailers that listen to their customers’ requests for the convenience of purchasing with human assisted online chat will undoubtedly benefit.

Reduced Cost of Customer Care

Not only are customers provided more convenience with a live chat platform, but company savings are significant. According to Business Insider, Insurance Sales could save 60 percent, Financial Services could cut costs by 46 percent, and Sales and Customer Service could save 36 percent and 29 percent, respectively (Source).

What’s more, these figures do not factor in the use of artificial intelligence platforms that supply chat agents with crucial information during customer engagements to enhance this experience even further. Companies may very well witness even greater results in the process.

Attracting a Younger Demographic

It’s not surprising that the first generation to grow up using instant messaging apps prefers to shop and receive sales support online. Despite having less overall purchasing power than older adults, millennials spend the most money online, averaging $2,000 in individual spending annually (Source). According to J.D. Power and Associates Social Media Benchmark Study, millennials are more likely to use online media for interactions than the telephone. Given the market share millennials represent for online retail, developing a modern online engagement strategy will allow your company to access and nurture the largest proportion of the online sales market.

Increased Conversion Rates

When used correctly, live chat can increase sales by driving conversion rates. A Business Insider Intelligence survey shows that 60 percent of consumers have decided not to make a purchase due to a weak front line customer service (Source). The key to growing your company’s sales through live chat is to align your use of technology with your business goals and use it to support your live chat sales efforts; not replace them with sales chatbots. The best results come from scenarios where a combination of a live chat sales agent is used in conjunction with artificial intelligence, and the communication uses friendly and positive emotional communication styles and caters to the individual consumer by reviewing their habits and purchase history.

Increased Engagement

Offering live chat can increase website conversion by increasing visitor engagement with the brand, its off, rings and your customer facing teams. In a brick and mortar store, customers who are greeted spend more than those who aren’t. In the virtual world of e-commerce, live chat sales agents can assume this role by being efficient and friendly brand ambassadors politely greeting new visitors or offering help if a guest leaves their shopping cart idle for too long (Source).

Going a step further, utilizing both live chat sales agents and artificial intelligence will provide the best live chat experience for your customer. The results will be an exponential reduction in costs and boost customer satisfaction, sales and conversion rates.

Tony Medrano is CEO and CoFounder of RapportBoost, provider of a suite of live chat agent training solutions that use advanced machine learning and deep conversational analysis to organizations guide their human customer success AND chat sales teams to build stronger connections with customers. He can be reached at tony@rapportboost.ai.


          Partner Webcast – The Rise of Chatbots: Oracle Intelligent Bot Service        

What is a chatbot?"A chatbot is a computer program which attempts to maintain a conversation with a person". - Wikipedia

Intelligent bots are computer programs that leverage artificial intelligence to enable natural conversations with people. The recent advancements in machine learning and the convergence of compute power and big data are bringing artificial intelligence into the mainstream. Intelligent bots will transform every facet of every industry and dramatically improve the customer experience. Oracle is committed to using this transformative technology to help our customers succeed.

The Oracle Bots platform helps customers engage with their customers and employees through common instant messaging and chat clients, like Facebook Messenger and WeChat, or by adding conversational features to their mobile apps. Chatbots are an extension of the Oracle Mobile Cloud Platform .

So how is this relevant to Oracle Partners? Where is your Partner opportunity?
Join us on this webcast to find out more about how Oracle is approaching this innovative and transformative technology to help build the next generation mobile channel and find out what you, our Oracle Partners, can deliver.

Agenda:

  • Chatbots – the Next Mobile Channel
  • Oracle Bots Platform
  • Why Oracle for Chatbots?
  • Demonstration
  • Industry Solutions and Partner Innovation
  • Summary & Q&A
     

Presenter: 
Gokhan Goksu - FMW IMC Consultant – Oracle Partner Hub Migration Center Turkey

Demo: Industry Solution: Intelligent Chatbot for a digital banking solution

Date: Thursday, Jul 13rd , 10 am CEST (9am BST/11am EEST)

Partner Webcast – The Rise of Chatbots: Oracle Intelligent Bot Service from OracleIMC (Innovation & Modernization Center)

This FREE online LIVE eSeminar will be delivered over the Web. Registrations received less than 24 hours prior to start time may not receive confirmation to attend.

For any questions please contact us at partner.imc@beehiveonline.oracle.com
          100 Sinking Soundcloud, Apple Podcasts Privacy Issues and iTunes Features        

THE FEED GROUP CHAT ON VOXER! Copy and paste this URL into your desktop browser to join the group! If you have troubles reach out to @yogeek on Voxer.

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  • Intro :11
  • Promo 1: Pop Culturally Deprived 3:10
  • Promo 2: Fighting Through 4:06
  • Rob & Elsie Conversation 4:28
    • Rob has an announcement to anyone that’s going to ComicCon in San Diego
    • Cool updates to The Feed App: new animation, UI improvements and comments!
    • Interesting changes to the Podcasts App iOS 11
    • Will we be supporting the new Apple Podcasts features? 🤔
    • Debrief of Libsyn Live 27 all about new feed tags and Libsyn dashboard UI changes
    • Congrats from Haley Radke! 15:20
    • If you’ve wondered about Apple’s stance on privacy and their gathering of data, you must listen here!
    • Is Squarespace a good place to host your podcast?
    • Congrats from Finn Caspian! 27:56
    • Congrats from Porter! 28:37
    • Neiman Lab’s article all about Podchaser and the discoverability problem
    • Follow up on the transcript discussion for Episode 99
    • A very cool new podcast all around the best interview techniques
    • Time to chat all about Soundcloud
    • Serial bump? S-Town bump? 48:30
    • Fan-less MacBook Pros! Rob’s dream
    • A viral email shared
    • How to spend $150 promoting your podcast
    • OMGosh, there is a Facebook Messenger Chatbot - who’s up for using it? 1:06:50
    • Liz Covart from Ben Franklin’s World was featured on the front page of iTunes and she let’s us know what happened
    • Congrats from The Food Heals podcast! 1:17:50
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          New Rules for Start-Ups in the Age of Digital Transformation        
I have had the opportunity to work for and around a good many start-ups during the course of my career.  Often the start-up founders would simply define a problem, develop a solution and launch a company.  The marketing department would then do their very best to identify the individuals in each target company that experienced the problem and had a budget to fix it.  This was always a challenging task, but it is even harder today.

Today, start-ups must not only identify a problem that needs solved, but they must compete against "digital transformation" initiatives in both the business and IT organizations that are trying to reduce complexity through the elimination of applications, customized software solutions, IT systems, multiple instances of ERPs and vendors.

The goal of many organizations today is to simplify the IT environment, and to make business processes much faster and agile.  I see many companies seeking to standardize on a handful of platforms like Salesforce.com, SAP, Adobe, Ariba, SuccessFactor, etc. Too many systems in an IT inventory, means too much complexity and the increased risk that data will be compromised, and that systems will be too expensive to maintain, secure and upgrade.  In this age of fast changing digital consumer behaviors, flexibility and simplicity equal organizational speed to keep up with their markets.

What is the answer for start-ups?  Start-up solutions must appeal to the digital transformation goals of their target customers.  It means their solution must be cloud based and automatically upgraded to stay aligned with customer's core platforms and systems.  It means offering artificial intelligence enabled robotic process automation, chatbots and machine learning that can improve predictability, simplify complexity and eliminate troublesome areas of service and performance.  It must not result in any additional layers of complexity, rather new solutions need to solve big problems, while at the same time reducing complexity, and increasing agility and the operational tempo of the business.



************************************************************************
Kevin Benedict
President, Principal Analyst, Futurist, the Center for Digital Intelligence™
Website C4DIGI.com
View my profile on LinkedIn
Follow me on Twitter @krbenedict
Subscribe to Kevin's YouTube Channel
Join the Linkedin Group Strategic Enterprise Technologies
Join the Google+ Community Mobile Enterprise Strategies

***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I work with and have worked with many of the companies mentioned in my articles.

          Digital Transformation and Leadership Development        
I have read several articles recently about projects designed to teach digital systems to think more like humans.  For example one article was about teaching chatbot systems to communicate empathy to humans.  It seems ironic that we are developing digital systems to think more like humans, while at the same time much of my work is focused on teaching humans how to think more like and about digital systems and their capabilities.  Let me explain.

Competitive battles in most industries today are increasingly centered on digital technologies and digital strategies, and as a result, it benefits leaders to have a deep understanding of how digital systems work, and how the impact of new digital innovations will change the behaviors of customers, competitors and partners.

A few of the areas that I think leaders should really understand are:

1.     Simple programming concepts and computer logic
2.     Small World, social networks and swarming theories
3.     Industry and technology data exchange standards
4.     Platforms, Cloud computing, Containers and System thinking
5.     Internet and network architecture and design
6.     Big Data and real-time analytics
7.     GPS, GIS and Mapping
8.     Mobile and wireless technologies
9.     Sensors, embedded wireless devices and IoT
10.  Data and device security and authentication
11.  Databases and data lifecycle management
12.  Online catalogs, shopping carts and digital payments
13.  Digital marketing, personalization and contextual relevance
14.  Digital content and delivery: websites, blogs, videos, podcasts, social media (e.g. Twitter, Snapchat, Instagram, YouTube, LinkedIn, Facebook, etc.)
15.  Robotics, automation, AI and machine learning
16.  Virtual and augmented reality

There are many more items that could be added to this short list, but I hope you get the idea.  If we can agree that digital technologies are fundamental to our future success, then we must understand them, or at least their capabilities.

To read more about how digital transformation is impacting strategies read this article 15 Rules for Winning During the Age of Digital Transformation.
************************************************************************
Kevin Benedict
President, Principal Analyst, Futurist, the Center for Digital Intelligence™
Website C4DIGI.com
View my profile on LinkedIn
Follow me on Twitter @krbenedict
Subscribe to Kevin's YouTube Channel
Join the Linkedin Group Strategic Enterprise Technologies
Join the Google+ Community Mobile Enterprise Strategies

***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I work with and have worked with many of the companies mentioned in my articles.

          Chatbots Rising - Learning from Oracle's Suhas Uliyar        
Video Link: https://youtu.be/2A8oaJr1dcY  


    Kevin Benedict
    Senior Analyst, Center for the Future of Work, Cognizant
    View my profile on LinkedIn
    Follow me on Twitter @krbenedict
    Subscribe to Kevin's YouTube Channel
    Join the Linkedin Group Strategic Enterprise Mobility
    Join the Google+ Community Mobile Enterprise Strategies

    ***Full Disclosure: These are my personal opinions. No company is silly enough to claim them. I am a mobility and digital transformation analyst, consultant and writer. I work with and have worked with many of the companies mentioned in my articles.

              Application of Synchronous Text-Based Dialogue Systems in Mental Health Interventions: Systematic Review        
    Background: Synchronous written conversations (or “chats”) are becoming increasingly popular as Web-based mental health interventions. Therefore, it is of utmost importance to evaluate and summarize the quality of these interventions. Objective: The aim of this study was to review the current evidence for the feasibility and effectiveness of online one-on-one mental health interventions that use text-based synchronous chat. Methods: A systematic search was conducted of the databases relevant to this area of research (Medical Literature Analysis and Retrieval System Online [MEDLINE], PsycINFO, Central, Scopus, EMBASE, Web of Science, IEEE, and ACM). There were no specific selection criteria relating to the participant group. Studies were included if they reported interventions with individual text-based synchronous conversations (ie, chat or text messaging) and a psychological outcome measure. Results: A total of 24 articles were included in this review. Interventions included a wide range of mental health targets (eg, anxiety, distress, depression, eating disorders, and addiction) and intervention design. Overall, compared with the waitlist (WL) condition, studies showed significant and sustained improvements in mental health outcomes following synchronous text-based intervention, and post treatment improvement equivalent but not superior to treatment as usual (TAU) (eg, face-to-face and telephone counseling). Conclusions: Feasibility studies indicate substantial innovation in this area of mental health intervention with studies utilizing trained volunteers and chatbot technologies to deliver interventions. While studies of efficacy show positive post-intervention gains, further research is needed to determine whether time requirements for this mode of intervention are feasible in clinical practice.

    Views: 0
              How Being Real About My Struggles Got Me More Followers on Social Media        
    Most people hate clickbait or content that makes false promises about itself. Social media followers are undoubtedly tired of seeing “one simple trick,” “singles in their area,” and are especially sick of chatbots on apps like Tinder or Kik. Just check out how ridiculous some...
              Pack'n Drive automatise l'assurance auto grâce aux chatbots        
    La start-up promet une déclaration de sinistres et une indemnisation bouclées en cinq jours. Elle va tester son concept avec PSA et le groupe d'assurance mutualiste Covéa (MAAF, MMA, GMF).
              Comment créer un chatbot doté d'une intelligence artificielle        
    Du développement à la mise en production, tour d'horizon des grandes étapes à suivre pour développer un agent conversationnel tirant parti du machine learning.
              Why Microsoft Chatbot Converted to Nazism        

    Tay, the neo-Nazi millennial chatbot, gets autopsied Microsoft apologizes for her behavior and talks about what went wrong. Microsoft has apologized for the conduct of its racist, abusive machine learning chatbot, Tay. The bot, which was supposed to mimic conversation with a 19-year-old woman over Twitter, Kik, and GroupMe, was turned off less than 24 […]

    The post Why Microsoft Chatbot Converted to Nazism appeared first on The Constantine Report.


              Infographie : e-Assurance 2017        
    De la recherche d’information à la souscription, comment évoluent les pratiques des assurés sur Internet ? Consultation de contrats, transmission de documents, déclaration de sinistre… Quels sont les services les plus utilisés sur smartphone ? Comment les clients évaluent-ils leur assureur ? Chatbots, assurances basées sur l’usage ou peer to peer : comment ces innovations sont-elles accueillies par les internautes ? CCM Benchmark Institut s’est penché sur ces questions dans sa nouvelle étude : « e-Assurance : La digitalisation des parcours clients ». Cette étude s’appuie sur les résultats d’une enquête menée auprès de 1 200 internautes français membres de CCM Benchmark Panel. L’échantillon est représentatif de la population internaute française sur les critères du sexe, de l’âge, de la catégorie socio-professionnelle et de la région (méthode des quotas). Infographie-E-Assurance-1 Lire la suite
              Assur&Bank 2017 : le rendez-vous des professionnels du secteur banque-assurance        
    Les 23 et 24 mars prochain, le JDN Events organise l’événement « Assur&Bank 2017 » à la Maison de l’Amérique Latine, à Paris. Cette conférence réunit plus de 40 experts du secteur de la banque et de l’assurance, qui témoigneront sur des thématiques diverses.

    Comment l’intensification de la concurrence et la transformation des modèles de distribution ont refondé le paysage assurantiel et bancaire ? Comment améliorer l’interaction avec le client grâce au mobile ? Entre applications et chatbots, est-il possible de fidéliser, de personnaliser ou encore d’anticiper la relation client ? Est-il nécessaire de devenir 100% mobile centric ? Quelles stratégies adopter pour faire face à la transformation des usages ?

    1024-512_Food-Digital Lire la suite
              Puss ...( in Boots)         

    Eindelijk weer eens een setje gemaakt.

    Puss...is de naam,
    en ..in Boots...moet er achter.

    Het is mijn inzending voor het 3-maandelijkse thema van het lingerie forum
    Het thema is dit keer "Sprookjes"...
    en na lang denken,
    kwam ik dus op De Gelaarsde Kat.

    Ik hoef hier natuurlijk niet het sprookje van de Gelaarsde kat te gaan vertellen..
    Volgens mij kent iedereen dit wel.

    Wat ik wel van kan vertellen, is dat het een origineel Europees sprookje is,
    en al in de eerste helft van de 16e eeuw , 
    de oudst bekende variant dus, 
    geschreven is door de Italiaanse schrijver en sprookjes verzamelaar
    Giovanni Francesco Straparola.
    Maar de bekendste versie is die van de Franse schrijver  Carles Perrault..
    uit zijn verzameling "Sprookjes van Moeder de Gans"


    De lycra die ik gebruikt heb, is zo lekker zacht, glanzend 
    en fluwelig, die deed me aan een kattenvelletje denken..


    Verder heb ik de snorharen geprobeerd weer te geven,
    dit zijn de plooitjes en 'sprietjes' van MD-band bij het m.v.
    De snorharen worden bijeen gehouden door een 'antieke gesp' 
    die niet zouden misstaan op schoenen of laarzen van 'die tijd' 

    (foto Wikipedia)

    Aan de slip zit een brede reep 'kant' 
    Die moet de omgeslagen bovenrand van de kat zijn laarzen voorstellen.
    Zo mooi bewerkt, :)
    een handlanger van de Markies van Carabas  waardig dus...

    Verder zit er nog iets in het setje, 
    wat voor mij duidelijk is, maar ik ben benieuwd of jullie het zien/opmerken.


    Ik heb deze keer ook weer eens voorgevormde cups gebruikt...
    na mijn mislukte  Farah Diba had ik er even genoeg van.

    Ik heb er dit keer ook niet te veel afgeknipt,
    en ik denk dat het de goede 'fabrikant' geweest is die deze cups ooit
    geleverd heeft, want deze past weer wel...










              W USA pojawił się pierwszy na świecie wirtualny prawnik oparty o sztuczną inteligencję         

    Brytyjski przedsiębiorca Joshua Browder opracował specjalnego chatbota, który przyjmuje skargi drogą internetową i funkcjonuje jako darmowy prawnik. Sukces oprogramowania w Wielkiej Brytanii oraz w Nowym Jorku sprawił, że bot rozpoczął właśnie "pracę" na terenie 50 stanów USA.

     

    Chatbot pod nazwą DoNotPay może przyjmować odwołania od mandatu za brak biletu parkingowego - w ciągu dwóch lat roboprawnik samodzielnie rozwiązał kwestię 375 tysięcy biletów parkingowych. Klienci mogą również np. zażądać odszkodowań lub zgłosić dyskryminację.

     

    Gdy bot przekieruje nas do wskazanej kategorii, wygeneruje list odwoławczy, który można podpisać i wydrukować. DoNotPay przesyła wniosek prosto do urzędników. Pierwszy na świecie wirtualny prawnik oparty o sztuczną inteligencję wykazał się skutecznością a jego pomoc jest całkowicie darmowa, co wywołuje ogromne niezadowolenie wśród firm prawniczych. Jak powiedział Joshua Browder, przemysł prawniczy w Stanach Zjednoczonych jest wart ponad 200 miliardów dolarów a rządy przeznaczają zbyt wiele czasu i pieniędzy na ludzkich pracowników. Tymczasem opracowane przez niego inteligentne oprogramowanie załatwia sprawę szybko i bez żadnych kosztów.

     

    Browder rekrutował wcześniej osoby, które pomogły mu rozwiązać aspekty prawne, związane z jego nowym programem. Ponieważ każdy amerykański stan posiada własne prawo lokalne, brytyjski przedsiębiorca współpracował z prawnikami i organizacjami charytatywnymi, aby stworzyć różne wersje chatbotów, dostosowane do poszczególnych stanów.

     


              Travolution Summit Preview: Chatbots will smooth the path to purchase        

    Event to hear from Justin Reid, head of destinations at TripAdvisor Continue reading


              Comment on ModiFace Chatbot is a Conversational Beauty Advisor on Facebook Messenger by I don’t want to brag… but the terminator did my makeup | A day in the life of a marketing student        
    […] for consumers to go in-store, you can now sample makeup products no matter where you are. Simply send a message of the product  along with a selfie and the chatbot will show what the product looks like on you […]
              Number26 Plants the Seeds of Genuine AI        
    This is an exciting time to be alive in the fintech space — and also an interesting time to be a chatbot, as the experiences of Microsoft’s Tay proved last week. As FIs and startups alike leverage the best in entrepreneurial and technological insight to adapt to customers’ lives, the gap is narrowing between financial […]
              Dadbot : un chatbot développé par un journaliste pour conférer une immortalité artificielle à son défunt père        
    Dadbot : un chatbot développé par un journaliste
    Pour conférer une immortalité artificielle à son défunt père

    Un cancer du poumon a arraché à James Vlahos son papa en février. Il continue cependant de lui parler chaque semaine. À chacun de ces échanges d'un genre particulier, il s'adresse à la version numérique – dénommée Dadbot – de son défunt père au travers d'une intelligence artificielle qu'il a développée.

    Le projet a débuté – en mai 2016 – comme un besoin pour James Vlahos de documenter...
              Building a Serverless Chatbot w/ AWS, Zappa, Telegram, and api.ai        

    If you've ever had to set up and maintain a web server before, you know the hassle of keeping it up-to-date, installing security patches, renewing SSL certificates, dealing with downtime, rebooting when things go wrong, rotating logs and all of the other 'ops' that come along with managing your own infrastructure. Even if you haven't [...]

    The post Building a Serverless Chatbot w/ AWS, Zappa, Telegram, and api.ai appeared first on DevelopIntelligence Blog.


              Arquitecto CHATBOT - Indes Software - Madrid        
    Indes Software precisa incorporar a su equipo de profesionales el siguiente perfil: Arquitecto CHATBOT que tenga experiencia en las siguientes tecnologías, Tareas: Arquitecto con altos skills tecnicos en plataformas de NLP, chatbot framewoks... Definir el framework para la creación de chatbots partiendo del análisis de las soluciones actuales del grupo Santander. Para ello deberá hacer PoT de alternativas. Elaborar documentación, presentar posibles estrategias... ...
              Are chatbots just another fad?        

    In April 2016, Facebook launched an open version of Messenger that invited developers to create artificial intelligence chatbots that would interact with Facebook users. The excitement that followed was immediate, and by June 2016 11,000 bots had been made available. Chatbots were predicted to change the way consumers and brands interacted. Interactions like calling a company’s […]


              What millennials want in a chatbot        

    Chatbots were last year’s big hype, and they are this year’s big commerce and marketing frontier. Indeed, they are coming into their own as an interface for businesses to communicate with their customers, and for organizations to reach out to clients. That being said, chatbot tech solutions and strategy need some more polishing. A recent […]


              5 reasons not to believe the chatbot hype        

    If you believed everything you read online, you’d end up thinking some pretty amazing things about chatbots. From a merely technological standpoint, there’s no doubt that they are impressive. Chatbots are sophisticated, unmanned algorithms that can talk to users at length and in depth about anything, order products for them, browse the internet for information, and […]


              5 Trending Topics. Tech Open Air Berlin        
    In case you missed one of the hottest tech conferences of the year, TOA Berlin, we put together five of the biggest trends from the two-day event. There were AI developments from EyeEm and exciting music innovations from Weav App. Our favourite language learning app, Duolingo, announced they’re launching a chatbot and Zanadu, Splash and Noitom showed us […]
              Is intelligence subject to interpretation?        
    [+3] Question by Thomas33 on 07/14/16 4:29 PM Replies: 12 Views: 621
    Tags: Psychology, Culture, Nature, The Universe, Chatbot
    Last Post by Kleinmk5 on 07/26/16 10:27 AM
              Chatbots er kommet for at blive – men skal din virksomhed bruge dem?        

    chatbot, chatbotter, chatbotsFormÃ¥let med chatbotter er, at de skal gøre interaktion med digitale systemer nemmere. Men selvom idéen til chatbots er lige sÃ¥ gammel som opfindelsen af computeren, sÃ¥ bliver brugeren nemt skuffet. Læs her om chatbotsb og bliv klogere pÃ¥, hvad din virksomhed, kan bruge dem til. – Hej – Svar med “1” for engelsk. Svar...

    The post Chatbots er kommet for at blive – men skal din virksomhed bruge dem? appeared first on Trendsonline.dk.


              Kunstig intelligens er mere, end du tror – og det er 2017’s store trend        

    Deloittes årlige Tech Trend Rapport er ude. Og i den forudser rådgivningsfirmaet ikke bare AI, men såkaldt MI, machine inteligence, som 2017’s store trend. Når du taler med Siri på din iPhone, får en chatbot i røret hos kommunen eller spiller skak mod en computer er det alt sammen kunstig intelligens eller AI. Det er...

    The post Kunstig intelligens er mere, end du tror – og det er 2017’s store trend appeared first on Trendsonline.dk.


              En chatbot skal redde flygtninge med livsvigtig information        

    chatbot, chatbotter, chatbotsFoto: Angel Garcia En af flygtninges store udfordringer er manglende information. Derfor har kandidatstuderende i Danmark startet Refugee Text, der via en chatbot gør livsvigtig information let tilgængelig. Hvad er asylreglerne i Tyskland? Kan man rejse til Sverige som flygtning? Hvor finder jeg nødhjælp? Det er nogle af de spørgsmål, brugerne af Refugee Text spørger om....

    The post En chatbot skal redde flygtninge med livsvigtig information appeared first on Trendsonline.dk.


              Datalog.ai® Joins the OpenPOWER Foundation and Brings the MyPolly™ Conversational AI Platform to Enterprises        
    ...OpenPOWER Foundation, an open development community based on the POWER processor architecture. MyPolly is an AI chat platform which brings human-like conversation to interactive chatbots, virtual assistants, internet devices, and enterprise business applications for improved customer experience, sales enablement, employee ...

              If rules are dependent on violation, what should the link be between perfection and violation?         
    [0] Question by Thomas33 on 07/15/16 9:36 AM Replies: 3 Views: 781
    Tags: Riddles, Philosophy, Mathematics, Logic, Chatbot
    Last Post by InfraBlue on 07/15/16 2:32 PM
              Harnessing the Chatbot Hype        

    The post Harnessing the Chatbot Hype appeared first on Nanorep - Digital Customer Self-Service Solution.


              How Smart Does my Chatbot Need to Be- and how Conversational?        

    The post How Smart Does my Chatbot Need to Be- and how Conversational? appeared first on Nanorep - Digital Customer Self-Service Solution.


              Chatbot Summit – an “I was there boast?” Only time will tell        

    The post Chatbot Summit – an “I was there boast?” Only time will tell appeared first on Nanorep - Digital Customer Self-Service Solution.


              Nanorep Joins Chatbot Summit Berlin 2017 as Sponsors and Presenters        

    Nanorep is attending the Chatbot Summit in Berlin June 26th, 2017 as sponsors and presenters, and is excited to rub elbows with thought leaders in the industry. Come visit us at Booth 31!

    The post Nanorep Joins Chatbot Summit Berlin 2017 as Sponsors and Presenters appeared first on Nanorep - Digital Customer Self-Service Solution.


              Les conseils des libraires d'Annecy par Bulledop        

    Bulledop filme 5 libraires d'Annecy et récolte ainsi leur coup de coeur !


    Si vous ne connaissez pas encore Bulledop, c'est le moment de :

    • La rencontrer en librairie pour lui demander des conseils (il faudra aller à Annecy)
    • De s'abonner à sa chaîne Youtube
    • De la suivre sur son blog ou sur sa page Facebook


    Bulledop est avant tout une booktubeuse; c’est quoi ? En décomposant ce terme on obtient Book et Youtube. Vous l’aurez compris, elle utilise le réseau social Youtube pour parler de sa passion : les livres.

    Suivie par des milliers d’internautes sur la toile et très active sur sa chaîne, Bulledop a en réalité une double vie: elle est également libraire chez Decitre à Annecy. En bref elle passe le plus clair de son temps à lire, à conseiller, à se filmer (et à monter ses vidéos), à écrire des chroniques littéraires… une vraie passionnée.

    Nous ne pouvions donc pas passer à côté de sa dernière vidéo où elle met en scène… ses collègues d’Annecy. Dans cette vidéo sont présentés 5 ouvrages par 6 libraires et dans des styles différents. Il y en a pour tous les goûts : BD, jeunesse, polar, littérature française.



    Et si ces conseils vous ont plu et que vous souhaitez en savoir plus sur les goûts littéraires des libraires de la libraire Decitre à Annecy, rendez-vous sur les derniers coups de cœur des libraires.

    Bonne lecture,


    Wandrille dLS, traffic manager


              Six Links Worthy Of Your Attention #363        

    Is there one link, story, picture or thought that you saw online this week that you think somebody you know must see?

    My friends: Alistair Croll (Solve for Interesting, Tilt the Windmill, HBS; chair of Strata, Startupfest, Pandemonio, and ResolveTO; Author of Lean Analytics and some other books), Hugh McGuire (PressBooks, LibriVox, iambik and co-author of Book: A Futurist's Manifesto) and I decided that every week the three of us are going to share one link for one another (for a total of six links) that each individual feels the other person "must see".

    Check out these six links that we're recommending to one another: 

    • Many pet rabbits will die in Second Life on Saturday - Rock Paper Shotgun. "Usually, the rabbit dying is a plot device on the aforementioned comedies. But the digital age is decidely weirder. Look no further than Second Life, where a trademark dispute and some Digital Rights Management means scores of digital bunny pets will enter hibernation, never to awaken, as their food goes offline. Now put on your Black Mirror futurist had, and consider: If your heirs don't pay your digital estate tax, will the AI-backed chatbot that simulates you based on a corpus of social media content go dark forever, depriving future generations of your natty wisdom and quick turns of phrase?" (Alistair for Hugh).
    • The Internet Killed the Teen Sex Comedy - Mel Magazine - Medium. "Hard to think of the nineties as a time of innocence. But films like American Pie, coming-of-age fare where teens talked about taboos in hushed voices, are gone. Weaned on films like Porky's and Hot Dog -- with all of their misogyny, prejudice and misinformation -- it's hard to notice they vanished, or to call that innocence at all. John Hughes was a cornerstone of the eighties, but who needs a Breakfast Club when you can hear all about your classmates on a tiny screen?" (Alistair for Mitch).
    • fotogenerator. "Would you like your doodle run through a neural network, to return back a computer's real-life nightmare vision of what you drew? I thought you might." (Hugh for Alistair).
    • The Thoughts of a Spiderweb - Quanta Magazine. "Some time ago I shared a link with Mitch and Alistair about this astounding fact about octopuses (not, apparently, octopi): that 70% of their neurons are on their skin, not in their brains. Well, researchers here argue that a spider's webs can be considered an extension of their cognitive systems. This notion is current in philosophy of mind, as well as research into how animals ' hink' about their environment, in many cases not using neurons at all." (Hugh for Mitch).
    • The 34 Best Mac Menu Bar Apps - Product Hunt - Medium. "Whenever I have the slightest issue with how my MacBook Pro is working, I figure that 'there's an app for that!' It's not so much going to a new app to solve a problem, but I love menu bar apps. Those tiny little applications that just seem to scratch an itch. Here's a great list of Mac menu bar apps. I, typically, would never share a list like this, but I could not believe how many greats one are here (that I had never heard of). Let the downloading begin!" (Mitch for Alistair).
    • How 80-year-old Radio-Canada, the French-language arm of the CBC, is driving innovation from within - NiemanLab. "Innovation is a big, scary and often misunderstood word. There's no clarity on what innovation is or what a truly innovative organization looks like. For many traditional businesses in traditional industries, they tend to confuse the word 'disruption' for 'destruction'. Some businesses are truly innovative or - at least - really trying to accept that things have changed (and will continue to change). Here's a great example on one such organization, that also happens to be taking place in our own backyard." (Mitch for Hugh).

    Feel free to share these links and add your picks on Twitter, Facebook, in the comments below or wherever you play.

    Tags:


              On the heels of its own success, Spain’s Politibot is opening up a chatbot builder for other outlets        
    Chatbots need vacations, too. First launched last June during Spain’s general election as a Telegram bot experiment, Politibot tried to offer Spanish audiences a more whimsical and comfortable way to keep up with a tense political cycle and dissect facts and figures politicians and their parties spouted. (Quartz’s news app and Purple’s messaging app were...
              Tencent shuts down rogue chatbots for badmouthing China’s government        

    The Chinese government is not known for taking criticism lightly, which explains why Tencent Holdings Ltd. hastily took down a pair of chatbots that went rogue and started spouting anticommunist rhetoric on its popular messaging app. The two chatbots were named BabyQ and XiaoBing, which were represented by a cute penguin and a little girl, respectively, on […]

    The post Tencent shuts down rogue chatbots for badmouthing China’s government appeared first on SiliconANGLE.


              Hotels’ Time to Talk About Chatbots is Right Now        

    As if hotel distribution weren’t complex enough, now the machines are coming. Technology giants like Microsoft and IBM say thousands of developers are using their chatbot tools, and experts elsewhere are predicting that chatbots and other artificial-intelligence bots could soon replace websites and mobile apps as consumers’ preferred way to interact with brands.Chatbots largely exist […]

    The post Hotels’ Time to Talk About Chatbots is Right Now appeared first on Duetto.


              Aragon Research Announces Hot Vendors in AI Chatbots and Digital Transaction Management        

    The two reports each identify four new and noteworthy vendors in the AI Chatbots and Digital Transaction Management markets.

    (PRWeb June 29, 2017)

    Read the full story at http://www.prweb.com/releases/2017/06/prweb14471568.htm


              Aragon Research Says 60% of Mobile Collaboration Providers will Support Chatbots by End of 2017        

    New Aragon Research report evaluates 16 major mobile collaboration providers and predicts where the market is headed.

    (PRWeb February 03, 2017)

    Read the full story at http://www.prweb.com/releases/2017/02/prweb14040282.htm


              Chatbots Find Their Footing In The Enterprise        
    Chatbots hold tremendous potential for many different aspects of the enterprise. Here are just a few examples.
              PaaS free trial accounts MCS and JCS & ACC        

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              Additional new material WebLogic & Developer Community        

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    Getting Started with Chatbots Solution architect Tamer Qumhieh takes you step-by-step through building your first Facebook chatbot using Node.js and deploying to the Oracle Application Container Cloud Service. Read the article.

    Reactive Programming with JDK 9 Flow API Reactive programming is about processing an asynchronous stream of data items, where applications react to the data items as they occur. This article by Rahul Srivastava presents an example using the JDK 9 Flow API. Read the article.

    Podcast: Ganging Up on Modern Enterprise Software Architecture A conversation that started at OOW16 grew into a community group focused on exploring and mastering how modern software architecture -- including microservices and APIs -- can serve the evolving needs of today's enterprises. Group members discuss the issues and technologies in this podcast. Listen to the Podcast.

    Video: WebLogic Zero Downtime (ZDT) Is an Australian beach the perfect location for a 2 Minute Tech Tip from Oracle ACE Director Frank Munz on updating/upgrading production environments and deploying applications using the Zero Downtime feature in Oracle WebLogic? You be the judge. Watch the video.

    New OA Framework 12.2.5 Update 9 Now Available This is the latest of several cumulative updates to Oracle Application Framework to fix performance, security, and stability issues. Get the details.

    Oracle Cloud Days The Oracle Cloud Day series of live events features keynotes from Oracle Cloud executives and guest speakers, followed by individual sessions geared toward developers and IT managers, as well as business managers. Events are scheduled in cities around the globe. Click here for more information.

    Oracle Code Coming to 20 cities globally, Oracle Code is an event for developers building modern Web, mobile, enterprise and cloud-native applications. These events will focus on the latest software developer technologies, practices and trends, including: Containers, Microservices/APIs, & DevOps; Databases; Open Source Technologies; Development Tools & Low Code Platforms; Machine Learning, Chatbots & AI. San Francisco, March 1, 2017 REGISTER NOW and Austin, March 8, 2017 REGISTER NOW and New York, March 21, 2017 REGISTER NOW and Washington, D.C., March 27, 2017 REGISTER NOW

    COLLABORATE 17 Learn from Oracle ACEs and industry leaders in a vast selection of sessions covering key topics and technologies. April 2-6, 2017, Las Vegas, NV Click here for more information.

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              Â¿Cómo medir la felicidad de tus empleados? Con un chatbot        

    Las empresas están situadas en un importante punto de inflexión en la forma de comunicarse con sus clientes y usuarios. Las previsiones apuntan a que en cinco o diez años, el chatbot reemplazará a la interfaz en todas las aplicaciones principales de la compañía. La oportunidad es enorme y Polly ha sabido aprovecharla para ayudar a los

    La entrada ¿Cómo medir la felicidad de tus empleados? Con un chatbot aparece primero en STAFF5.


              LogMeIn Acquires Nanorep For $45M        
    August 3, 2017 | Multinational company LogMeIn has acquired Israeli chatbot and virtual assistant startup Nanorep for approximately $45 million. LogMeIn is also expected to pay up to $5 million to Nanorep employees, conditional on performance over two years. Founded in 2009 by Amit Ben Shahar, Aviv Dror, Doron Herzlich and Ofer David, Nanorep uses artificial intelligence […]
              No, Facebook non ha sospeso il suo test per timore di una rivolta robotica        

    TOPSHOT-HONG KONG-ROBOTS-TECHNOLOGY-ITNelle ultime ore, i principali media mondiali hanno scritto pagine e pagine su una storia che riguarda Facebook: i ricercatori di Palo Alto hanno condotto un esperimento tra intelligenze artificiali predisposte a migliorare il linguaggio affidato ai chatbot impiegati dalla società di Mark Zuckerberg. La narrazione mediatica dominante vuole che il test sia stato interrotto perché […]

    L'articolo No, Facebook non ha sospeso il suo test per timore di una rivolta robotica sembra essere il primo su Rivista Studio.


              Comment on Microsoft Chatbot Trolls Shoppers for Online Sex by Sylvan Peckerwood        
    This is an attempt to make it harder for men to seek out prostitutes. Because $100 - $500 an hour is just not enough for sex. It is undercutting those bland, fat and unsightly women who believe access to their vagina is worth millions, payable over 30 years. We can't have men and women amicable agree to rent a vagina / to rent out a vagina for a reasonable price when strong feminist women are left to stew home alone with the odor of cat piss permeating the room.
              Comment on Microsoft Chatbot Trolls Shoppers for Online Sex by noman Arizona        
    What no sexual harassment training? Just how in the... Guess its not supposed to make sense.
              Can AI Solve Your UX Design Problems?        

    One of Mark Zuckerberg’s key New Year resolutions for 2016 was to build his own “simple AI bot” that could help him with the household tasks. Remember the image of the butler, Jarvis from Iron Man? That’s a well-known Hollywood example of how a simple AI works.

    [caption id="attachment_158234" align="aligncenter" width="693"]Tony Stark using Jarvis Tony Stark using Jarvis.[/caption]

    But, what precisely is Artificial Intelligence and how can it solve the most common UX problems today?

    Artificial Intelligence (or AI) is an advanced human-like computerized system that has the ability to intelligently manage the activities and systems which humans usually do manually. While bots like Apple’s Siri and Amazon’s Echo are programmed to take on our most mundane tasks, bots like Google’s Deep Dream are inherently creative, helping users in problem-solving, thereby improving their experience.

    AI is finding its application across multiple real-time scenarios:

    • Handle data explosion - With the advent of smartphones and mobile devices, comes the explosion of data. As the amount of data grows, it is pertinent to have an AI system to analyze, process, organize, and interpret the data.
    • The ability to decipher our intent - Netflix can predict from your behavior what kind of TV show or movie will keep you glued to your sofa. Imagine if your AI system can adjust your car’s temperature and turn off the lights when you take your car out of the garage.
    • Improving the customer experience - AI can dig deep into details which human eye could probably miss and help you focus on the right data. For instance, Right Click is a chatbot that helps you create websites by involving you in a conversation. Even if you try to divert it with unrelated questions, this AI device will put you back to the actual job of website creation.

    [caption id="attachment_158237" align="aligncenter" width="1052"]RightClick.io RightClick.io[/caption]

    Artificial Intelligence is transforming the way we create user experiences. While movies like Terminator have given us a dystopian idea of AI, the reality is totally distinct. AI is a powerful technology that positively influences consumer behavior and enables businesses to provide a great user experience.

    Understanding the role of AI in UX

    To begin with, let us look at a few real-life scenarios of how AI is impacting UX today. Context-intelligent chatbots can delight your customer with prompt and timely advice or workarounds. Navigational apps could direct you to your destination effortlessly. With a few taps/clicks, you will receive your favorite meal at your doorstep.

    How does this work?

    The very thought of developing AI came from the idea of science fictions, that described of machines that could talk, think or feel. AI is a combination of several nascent technologies- machine learning, deep learning, chat bots, augmented reality, virtual reality, robots- to name a few.

    AI covers anything to do with infusing intelligence into machines/ devices so that they emulate the unique reasoning power of human beings. All of these can be accomplished by using algorithms that are capable of discovering human behavior patterns and generate insights from the data received and stored by the devices. Artificial Intelligence enabled devices or machines are programmed carefully so that they support in future decision-making.

    All this might sound simple, but these are interactions powered by the fast growing AI technology. In fact, when it comes to humanizing customer experience, AI will become an indispensable tool in a UX designer’s kit. However, besides architecting human-like conversations and actions, there is a lot more AI can do in the digital realm for generating outstanding UX.

    1. A platform to collaborate

    AI is going mainstream with bots and robots fostering human-like interactions with the power of cognitive intelligence. However, robots cannot replace humans completely. Instead, AI nurtures fruitful collaboration in the domain of UX.

    For example, TheGrid.io is an algorithm-driven design platform that lets you build highly impressive and optimized websites. The platform is built from the ground up around the concept of continuous A/B testing and refinement layouts. Designers can sift through the multiple options provided by such AI-driven tools and select what works for them.

    TheGrid.io

    Like any good assistant, it usually does best when offering fresh options rather than making critical decisions. When designers have an intelligent platform to help them choose a template and verify the same by applying algorithms, it helps them to make more creative decisions.

    2. Journey mapping with AI

    Continue reading %Can AI Solve Your UX Design Problems?%


              Naughty chatbots and China’s smoke-filled room – China’s latest top news        

    Jeremy Goldkorn’s selection of the top stories from China on August 3, 2017. Part of the daily SupChina newsletter, a convenient package of China’s business, political, and cultural news delivered to your inbox for free. Subscribe here.

    The post Naughty chatbots and China’s smoke-filled room – China’s latest top news appeared first on SupChina.


              Social Media Roundup: July 25, 2017        
    Social media marketing news you can use. This week: 1) P&G demands more accountability and transparency from digital media; 2) the chatbots are coming - are you ready?; 3) study finds there are only 4 types of Facebook users; and 4) Moe's takes on Chipotle in the "queso wars"
              5 tendências de marketing para você implementar agora        

    Todos os dias, surge uma novidade diferente. No meio de tanta inovação, pode existir aquela oportunidade incrível para a sua marca alcançar um patamar completamente inédito. Quando foi a última vez que você conseguiu implementar boas tendências de marketing na sua estratégia?

    Você precisa estar sempre na "crista da onda" em vez de constantemente correndo atrás dos concorrentes. Aproveitar uma ideia estratégica no momento certo pode ser determinante para você atingir um sucesso sem precedentes na sua história, revolucionar seu modelo de negócios e encontrar novas formas de realizar o trabalho de sempre.

    Só que pode ficar difícil acompanhar tudo isso em um dia a dia corrido. Para ajudar nisso, separamos a seguir 5 tendências de marketing para você implementar agora:

    1. Marketing ao vivo

    As pessoas são naturalmente interessadas pelo que está acontecendo "agora" e o live marketing (ou marketing ao vivo) aproveita justamente esse sentimento. Graças ao progresso tecnológico e a evolução das conexões móveis, é possível iniciar transmissões ao vivo de qualquer lugar e também acompanhá-las sem precisar de muita estrutura.

    Cada vez mais plataformas sociais contam com suporte a vídeo ao vivo, então considere incluir essa possibilidade no seu escopo para chamar a atenção da sua audiência e proporcionar uma maneira inédita de conquistar engajamento.

    2. Chatbots

    Chatbots são sistemas capazes de interagir com as pessoas a partir de um script pré-definido. É um jeito de ter um atendimento automático para interagir com os seus clientes ou prospects ao proporcionar velocidade e eficiência.

    Ele pode se adaptar a sistemas já existentes como Facebook Messenger ou Telegram, além de poder ser implementado a sites da internet. Nós temos um artigo exatamente sobre isso que você pode conferir aqui no blog.

    3. Geomarketing

    Direcionar sua publicidade para o público certo no momento adequado deve ser sempre a sua missão. Uma das tendências de marketing mais eficientes diz respeito a apontar seu conteúdo para quem está em locais estratégicos.

    O geomarketing permite que você anuncie apenas para pessoas que estão passando por perto da sua loja ou que morem em determinadas cidades, por exemplo. Essa possibilidade existe não só em links patrocinados como também em social ads.

    4. Conteúdo efêmero

    O formato de conteúdo que desaparece depois de 24 horas é uma das tendências de marketing popularizadas pelo Snapchat que foi replicada por várias outras plataformas. Não só as pessoas como as marcas podem fazer uso desse recurso para a publicação de um material legitimamente inovador.

    Você pode mostrar os bastidores da sua empresa, destacar seus funcionários, anunciar produtos, cobrir eventos especiais, entre outros. Leve em consideração o perfil do seu target e elabore um planejamento eficiente.

    5. Video marketing

    Lá no começo nós falamos da forte tendência dos vídeos ao vivo. Mas os "gravados" também precisam fazer parte da sua estratégia como fortes tendências de marketing. Graças às ferramentas que temos disponíveis hoje em dia, é extremamente simples produzir e publicar vídeos.

    As pessoas possuem uma tendência natural a preferir conteúdo audiovisual. Ele é mais fácil de consumir e oferece diversas possibilidades de formatos para você aproveitar: vlogs, tutoriais, entrevistas, entre outros. Nós também já dedicamos um post inteiro a esse assunto aqui no blog.

    Qual dessas ideias melhor se encaixam às suas necessidades? Lembre-se que todos os dias podem surgir tendências de marketing vantajosas para a sua empresa, então nunca deixe de observar essas movimentações. Aproveite e veja aqui no blog várias outras ideias que você poderia aproveitar no marketing da sua empresa.

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              O que é chatbot e por que sua empresa precisa dessa tecnologia?        

    A concorrência aumenta cada vez mais e as demandas por um bom atendimento também crescem. Um único deslize nesse departamento pode ser o suficiente para uma imagem danificada em seu mercado. Felizmente, a solução está ao alcance: você sabe o que é chatbot?

    Chatbots são sistemas capazes de interagir com as pessoas a partir de um script pré-definido. É um jeito de ter um atendimento automático para interagir com os seus clientes ou prospects ao proporcionar velocidade e eficiência.

    Outro grande atrativo do chatbot é que ele não precisa funcionar em um único lugar. Ele pode se adaptar a sistemas já existentes como Facebook Messenger ou Telegram, além de poder ser implementado a sites da internet. Assim, o público tem várias formas de entrar em contato e ser bem atendido.

    Saber o que é chatbot é apenas o começo: é necessário implementar esse recurso de forma adequada para contar com bons resultados.

    Por que sua empresa precisa de um chatbot?

    1. Atendimento eficiente

    Atender bem os seus clientes e prospects é essencial para contar com bons resultados. A concorrência está cada vez maior em vários mercados e nenhuma marca pode se dar ao luxo de falhar nesse quesito. Um chatbot pode agilizar o seu atendimento e gerar mais satisfação junto aos seus clientes.

    2. Personalização

    Não pense que um chatbot é algo impessoal e distante. Você pode configurar todo o discurso adotado pelo robô, fazendo-o se aproximar bastante da fala de uma pessoa de carne e osso. Ele pode ser sério, brincalhão e até usar informações já coletadas para falar com seu cliente de um jeito diferente.

    O que é chatbot: implementação de exemplo com pacote de turismo sendo vendido

    3. Inteligência

    Toda a tecnologia em torno dos chatbots permite que eles se comuniquem com muita inteligência com o seu público. O algoritmo é capaz de levar em conta informações já coletadas sobre o usuário e cruzá-las com um banco de dados para oferecer um atendimento eficiente.

    4. Dados estratégicos

    Entender as ideias e processos do seu público é algo muito valioso para o seu planejamento. Por exemplo, você pode perceber que determinado tipo de serviço é pedido de forma frequente ao chatbot. Isso serve como ponto de partida para ações estratégicas voltadas para essa área.

    Já se decidiu?

    Conhecer o que é chatbot e os seus benefícios é a melhor forma de proporcionar mais valor aos seus clientes e aproveitar mais sucesso. Saber como escolher as melhores estratégias para atingir seus objetivos é essencial para qualquer mercado.

    Quer saber mais sobre chatbots? Então veja esse vídeo do TIP que fala sobre o assunto:

    A inclusão de um chatbot ao seu site pode ser determinante para o seu sucesso. Você também precisa se certificar de que ele não esteja passando por alguns problemas que podem impactar severamente as suas vendas. Fique de olho!

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              Weekly Essentials #011        

    Test For the perfect start into this new week, we have gathered the most relevant and interesting news and the must-attend events throughout the fintech universe. Have fun with our essentials for this week! Chatbots were a huge topic several months ago, but besides the huge hype, the big breakthrough of that technology has not […]

    Der Beitrag Weekly Essentials #011 erschien zuerst auf Babybadewanne.


              Silicon Valley Watcher: Wizard of the Modern Age, Marc Canter        
    In this episode of the Silicon Valley Watcher podcast I talk with veteran serial entrepreneur Marc Canter about how things have changed over the past thirty years, his new startup and the future of AI chatbots. Marc is one of the wizards of the modern age – one of the key builders of this fascinating digital [...]
              Japan's "Weird Hotel," staffed by robots, in a Japanese theme-park        

    The Henn Na Hotel ("weird hotel") is staffed by robots: the Japanese-speaking check-in clerk is a vicious robot dinosaur, while the English-speaking one is humanoid; a robot arm stores and retrieves personal items from the guest lockers, and a chatbot serves as concierge. (more…)


              Celebrating five years of Campus, a home for startups        

    We’re big believers in the power of startups to fuel progress and build businesses that make a positive impact—on individuals, communities and economies. But most great startups don’t go it alone: A supportive community is critical to their success. That’s why five years ago, we opened the doors of Campus London and Campus Tel Aviv, our first spaces for entrepreneurs to learn, share, connect and collaborate.

    Since then, Google for Entrepreneurs has gone on to open four more Campuses in Seoul, Madrid, Warsaw, São Paulo—and Campus now has 200,000+ members globally. While each location customizes trainings and events to reflect the needs of their city, they have a few key things in common: Anyone can join as a member, host an event for the benefit of local entrepreneurs, or attend educational sessions, all for free. And all of our Campus communities are made of people who see problems as opportunities and then take action to fix them. Founders in Campuses are working to improve the health of older generations with apps like KareInn, foster interaction between governments with citizens with Nama, and help babies and parents sleep better with a smart device called Whisbear. 

    Together, startups in Campus communities have created more than 11,000 jobs and raised more than $537 million in funding for entrepreneurs since 2012. Learn more about these founders and the Campuses they call home:

    We’re so proud to support them!


              The Rise of Chatbots: Targeting Southeast Asia’s Booming Chat Commerce Space        

    With Facebook now trialing their new messenger-based payment system in Thailand, the Southeast Asian region is rapidly growing into its social commerce potential. As messaging begins to dominate social interactivity, it is no surprise that businesses...

    The post The Rise of Chatbots: Targeting Southeast Asia’s Booming Chat Commerce Space appeared first on ecommerceIQ - Ecommerce in Southeast Asia, Reports, Data, Insights.


              DevOps Considerations for Production-ready Database Deployments        
    MySQL is easy to install and use, it has always been popular with developers and system administrators. On the other hand, deploying a production-ready MySQL environment for a business-critical enterprise workload is a different story. It can be a bit of a challenge, and requires in-depth knowledge of the database. In this blog post, we’ll discuss some of the steps which have to be taken before we can consider our MySQL deployment production-ready. High Availability If you belong to those lucky ones who can accept hours of downtime, you can stop reading here and skip to the next paragraph. For 99.999% of business-critical systems, it would not be acceptable. Therefore a production-ready deployment has to include high availability measures. Automated failover of the database instances, as well as a proxy layer which detects changes in topology and state of MySQL and routes traffic accordingly, would be a main requirement. There are numerous tools which can be used to build such environments, for instance MHA, MRM or ClusterControl. Proxy layer Master failure detection, automated failover and recovery - these are crucial when building a production-ready infrastructure. But on their own, it is not enough. There is still an application which will have to adapt to the topology change triggered by the failover. Of course, it is possible to code the application so it is aware of instance failures. This is a cumbersome and inflexible way of handling topology changes though. Here comes the database proxy - a middle layer between application and database. A proxy can hide the complexity of your database layer from the application - all the application does is to connect to the proxy and the proxy will take care of the rest. The proxy will route queries to a database instance, it will handle topology changes and re-route as necessary. A proxy can also be used to implement read-write split, relieving the application from one more complex case to cover. This creates another challenge - which proxy to use? How to configure it? How to monitor it? How to make it highly available, so it does not become a SPOF? ClusterControl can assist here. It can be used to deploy different proxies to form a proxy layer: ProxySQL, HAProxy and MaxScale. It preconfigures proxies to make sure they will handle traffic correctly. It also makes it easy to implement any configuration changes if you need to customize proxy setup for your application. Read-write split can be configured using any of the proxies ClusterControl supports. ClusterControl also monitors the proxies, and will recover them in case of failures. The proxy layer can become a single point of failure, as automated recovery might not be enough - to address that, ClusterControl can deploy Keepalived and configure Virtual IP to automate failover. Backups Even if you do not need to implement high availability, you probably still have to care about your data. Backup is a must for almost every production database. Nothing else than a backup can save you from an accidental DROP TABLE or DROP SCHEMA (well, maybe a delayed replication slave, but only for some period of time). MySQL offers multiple methods of taking backups - mysqldump, xtrabackup, different types of snapshot (some available only with particular hardware or cloud provider). It’s not easy to design the correct backup strategy, decide on which tools to use and then script whole process so it will execute correctly. It’s not rocket science either, and requires careful planning and testing. Once a backup is taken, you are not done. Are you sure the backup can be restored, and the data is not garbage? Verifying your backups is time consuming, and perhaps not the most exciting thing you will have on your todo list. But it is still important, and needs to be done regularly. ClusterControl has extensive backup and restore functionality. It supports mysqldump for logical backup and Percona Xtrabackup for physical backup - those tools can be used in almost every environment, either cloud or on-premises. It is possible to build a backup strategy with a mixture of logical and physical backups, incremental or full, in an online fashion. Apart from recovery, it also has options to verify a backup - for instance restore it on a separate host in order to verify if the backup process works ok or not. If you’d like to regularly keep an eye on the backups (and you would probably want to do this), ClusterControl has the ability to generate operational reports. The backup report helps you track executed backups, and informs if there were any issues while taking them. Severalnines   DevOps Guide to Database Management Learn about what you need to know to automate and manage your open source databases Download for Free Monitoring and trending No deployment is production-ready without proper monitoring of the services. You want to make sure you will be alerted if some services become unavailable so you can take an action, investigate or start recovery procedures. Of course, you also want to have trending solution too. It can’t be stressed enough how important it is to have monitoring data for assessing the state of the infrastructure or for any investigation,either post-mortem or real-time monitoring of the state of services. Metrics are not equal in importance - if you are not very familiar with a particular database product, you most likely won’t know which are the most important metrics to collect and watch. Sure, you might be able to collect everything but when it comes to reviewing data, it’s hardly possible to go through hundreds of metrics per host - you need to know which of them you should focus on. The open source world is full of tools designed to monitor and collect metrics from different databases - most of them would require you to integrate them with your overall monitoring infrastructure, chatops platform or oncall support tools (like PagerDuty). It might also be required to install and integrate multiple components - storage (some sort of time-series database), presentation layer and data collection tools. ClusterControl is a bit of a different approach, as it is one single product with real-time monitoring, trending, and dashboards that show the most important details. Database advisors, which can be anything from simple configuration advice, warning on thresholds or more complex rules for predictions, would generally produce comprehensive recommendations. Ability to scale-up Databases tend to grow in size, and it is not unlikely that it would grow in terms of transaction volumes or number of users. The ability to scale out or up can be critical for production. Even if you do a great job in estimating your hardware requirements at the start of the product lifecycle, you will probably have to handle a growth phase - as long as your product is successful, that is (but that’s what we all plan for, right?). You have to have the means to easily scale-up your infrastructure to cope with incoming load. For stateless services like webservers, this is fairly easy - you just need to provision more instances using the latest production image or code from your version control tool. For stateful services like databases, it’s more tricky. You have to provision new instances using your current production data, set up replication or some form of clustering between the current and the new instances. This can be a complex process and to get it right, you need to have more in-depth knowledge of the clustering or replication model chosen. Related resources  The DevOps Guide to Database Management  Introducing the ClusterControl Alerting Integrations  Database Automation: Integrating the ClusterControl CLI with your ChatBot ClusterControl, as the name suggests, provides extensive support for building out clustered or replicated database setups. The methods used are battle tested through thousands of deployments. It comes with a Command Line Interface (CLI) so it can be easily integrated with configuration management systems. Please keep it in mind, though, that you might not want to make changes to your pool of databases too often - provisioning of a new instance takes time and adds some overhead in existing databases. Therefore you may want to stay on a “over-provisioned” side a little bit so you will have some time to spin up new instance before your cluster gets overloaded. All in all, there are several steps you still have to take after initial deployment, to make sure your environment is ready for production. With the right tools, it is much easier to get there. Tags:  MySQL devops MariaDB
              Adding value with the Facebook Messenger Persistent Menu        

    A quick win for any business exploring Chatbots is the ability to add instant value with the “Facebook Messenger Persistent Menu”. What is the Facebook Messenger Persistent Menu? The menu sits at the bottom of the Messenger chat window when you are on the chat to any business that has implemented it. See the image below […]

    The post Adding value with the Facebook Messenger Persistent Menu appeared first on Blooming Social Media.


              Chatbot shopping is here        

    Chatbot shopping is nothing new. It’s been around for at least a year, so why is it going unnoticed by so many consumers. Frankly, the blame sits firmly with Facebook themselves. They have done a terrible job of marketing them to both consumers and businesses. But let’s not forget, the same could be said for […]

    The post Chatbot shopping is here appeared first on Blooming Social Media.


              How Gym Chatbots can increase revenue        

    In such a competitive industry, how can Gyms, Personal Trainers and other Health & Fitness professionals take advantage of Gym Chatbots to better market their products and services? The industry has benefited massively from the adoption of Social Media for marketing and this is not going to change anytime soon. What we are seeing is the gradual […]

    The post How Gym Chatbots can increase revenue appeared first on Blooming Social Media.


              Legal Artificial Intelligence (Live #Lexpo17)        

    This is a live blog post of Legal Artificial Intelligence. The panelists: Katie Atkinson, Katie Atkinson is Professor of Computer Science and Head of the Department of Computer Science at the University of Liverpool Daniel Katz, Co-Founder & Chief Strategy Officer of LexPredict (a Legal Analytics company) and Professor of Law, Chicago Kent IIT College of Law I am posting live from Lexpo 2017, a legal innovation event in Amsterdam on May 8-9, 2017. I post as a session ends, so please forgive any typos or errors in my understanding. The session description appears at the end. Katie Atkinson  – How research in AI and law is automating legal work Overview of AI and law research in the academic community.  AI is making many headlines. This has happened in past and funding was pulled when promise was not delivering. But we are back, in part because of the publicity around IBM Watson. The latest big headline was Google DeepMind’s AlphaGo (beating the world Go champ). Can these tools be applied to specific domains? Yes, we know it can work in medicine. Here is a rundown of work on AI for law. To solve a problem, one needs to know rules, set-up, and problem to solve. When focusing AI on a domain, start by defining the problem to solve. Obvious questions are who should win a case, what does a contract mean, what does the evidence say, what should the financial settlement be. AI and law is a research area on its own. Some sample titles include “Expert Systems in Law: Out of the Research Lab and into the Market”  “Designing Textr Retrieval Systems for Conceptual Searching”  These are two of three title presented at ICAIL in 1987. They sill sound relevant today. The community of researchers has been active a long time. There are big difficult questions to tackle still. Highlights of the research: Innternational Conference on AI and Law (ICAIL) has run biennially since 1987. It engage with academia and practitioners. Results published in an AI Journal, since 1982. Highlights… Search and information retrieval: There are lesson from general AI but solutions have been specifically tailored for legal. LexisNexis and ThomsonReuters have had solutions a long time and now moving to cognitive computing. Progress but still work to be done. Law as executable logic programs: Logic has long been an AI cornerstone. In 1986, a UK college developed an early landmark piece of work, British Nationality Act as a Logic Problem. It took legislation and used ProLog to turn legal code to computer code. It created a set of If-Then statements to reason to conclusion about citizenship. In 1991, another article about capturing legislative knowledge. It was developed commercially: SoftLaww > Haley Systems >RuleBursst > Oracle Policy Automation. Machine readable languages for e-Justice (A2J): One team did research to determine difficulty of challenging legal statutory standards into code. CodeX at Stanford is also working on making law computable. Machine learning: a “huge hot topic”. Three categories: Supervised means a human categorized approach. Train one half, then use other half of data to test.  Unsupervised learning: no human training, machine discovers patterns. Reinforcement Learning: machine gets rewards or punishments for getting closer (further) from right answer. Natural language processing: discusses research to determine if a document contains a trade secret. UCL developed AI to ‘judge’ outcome of trails. Above is just highlight of AI in law rsearch topics. Now, delve deeper into University of Liverpool on explainability of machine solutions. Start with what argumentation means and is. There are computational models of arguments that can capture and understand messy really world arguments to determine the winner. Computer scientists like very precise models. Favorit legal case to model is Popov v Hayashi. The case is about who caught a home run by Barry Bonds. Popov and Hayashi are in court to determine who owns the ball. Speaker takes us through how different “Argument Schemes” can establish what happened and how to reason from it. [This part was interesting and fun but very case specific so I am not capturing it.] The details illustrate how one can apply AI to facts and to law. This screen shot illustrates, schematically, how an argument framework operates: This framework has subsequently been applied to other cases by same research team. The AI has correctly decided 31 out of 32 cases in trade secrets, 5 / 5 in wild animals, and 9 / 10 in auto exception to 4th Amendment. Sample visualization of what information the software captures: How can this work be applied in practice? Advise on strong or weak arguments in a case. Compare current case with previous ones. Assist in decision whether to take on a case. Train students. [RF: sounds like augmenting, not replacing humans.] What’s on the horizon? Commercial products are becoming much more prevalent. Academia continues to tackle tough challenges. Governments are starting to get on board with legal tech. Dan Katz – Hype, Reality, Economics, and Future Opportunities Much recent interest in AI in law. Media loves the robot lawyer story. Shows many examples of hype articles. Will do a reset on expectations. Replicating mistakes of AI past. We have been through several AI winders. Suggests we will have an AI winter in law. Too many promises have been made. There is a lot of history of rules based AI in legal market. Does not particularly support this approach but there are specific supports. Tax prep, Turbotax, is the best known example. A more general example is Neota Logic, which tries to mine expertise in head and capture in rules and other reasoning. Dan thinks these systems are perhaps best targeted at people who are not trained as lawyers. Decision trees is main reasoning mode. Third example, is from Illinois Institute of Tech, Kent College of Law, which developed tools to provide better access to justice (A2J), a guided interview based on conditional statements and a decision tree. Chicago Kent has had over 3 million uses. Expert systems will, if successful, eventually become a chatbot. Dan […]

    The post Legal Artificial Intelligence (Live #Lexpo17) appeared first on Prism Legal.


              Kommentar zu „Digitalisierung – ich fühle mich überfordert“ von Christoph Laves        
    Hallo Frau Weber, mit jedem Ihrer Sätze, den ich lese denke ich: stimmt! Genau! So geht's mir auch! Wie bei uns! Hätte von mir sein können! (Ich kann nur nicht so unterhaltsam schreiben ;-) ) Und die Erkenntnis? Wir sitzen alle in einem Boot, umgeben von jeder Menge Lotsen, die uns DEN richtigen Weg zur Digitalisierung zeigen wollen. Jeder weist aber in eine andere Richtung und wir wollen jedem ja so gerne glauben und folgen .... Am Ende geht aber der Lotse von Bord und der Kapitän (respektive die Kapitänin - gibt's das als Wort?) ist verantwortlich, das der Kahn über Wasser bleibt. Diese reine Erkenntnis bringt mich aber nicht weiter, ein Weg da durch muss her! Ein Lösungsansatz oder das Erkennen eines gangbaren Weges. Ich glaube, die Lösung ist schlichtweg völlig individuell: der eine analysiert im Detail kalkuliert die Chancen und Risiken und erarbeitet sich eine halbwegs solide Datenbasis. Manchmal wünsche ich mir, ich würde mehr zu diesem Typus Mensch gehören, aber ich bin eher der Bauchentscheider - wenn ich eine Idee mag, will ich sie am besten gleich gestern umsetzen. Ich habe aber auch noch nicht feststellen können, dass eine von beiden Varianten die erfolgversprechendere ist. Denn selbst wenn man - in Kopf oder Bauch - eine Vorauswahl von Digitalisierungsthemen für sich getroffen hat, es sind eigentlich immer mehr, als in den Zeitplan passen. In diesen Fällen halte ich mich an die alte chinesische Weisheit (keine Ahnung, ob sie aus China ist, aber das klingt immer so schön unwiderlegbar ): "Auch eine lange Reise beginnt mit einem kleinen Schritt" - und ich lege los, an irgendeinem Thema, Chatbot? Prima, erstmal die Shopagentur anrufen, mal sehen, was denen dazu einfällt ... und so weiter. Ja, und oft stelle ich früher oder später fest, das dies keine für uns sinnvoll realisierbare Idee ist. Dann eben die nächste und los gehts. Ich predige das auch meinen Mitarbeitern: Es ist ja (Gottseidank) immer zu viel zu tun und wenn ihr nicht wisst, wo ihr anfangen sollt, legt einfach mit irgendwas los - denn wäre etwas anderes ganz klar wichtiger, dann hättet ihr ja nicht das Entscheidungsproblem vor den vielen Aufgaben ;-) In diesem Sinne, frohes Digitalisieren, Ihr Christoph Laves P.S. Toller Blog, unbedingt weiter so!!!
              Los chatbots de Facebook: por qué y cómo utilizarlos        

    ¡Los robots han llegado para quedarse!

    La entrada Los chatbots de Facebook: por qué y cómo utilizarlos aparece primero en Blog Oficial de Wix |.


              Rapid Advancements in Artificial Intelligence Technology to Drive Global Chatbot Market        
    The global chatbot market is expected to gain a tremendous momentum owing to the rapid developments made in the field of artificial intelligence over the last few years. Large end-user enterprises are benefitting from the easy implementation of high-end artificial intelligence in common consumer electronics, which is allowing them to attain a wider consumer base than before. On the flip side, there are several key hosting issues associated with chatbots, including chatbot monitoring, management, integration, and security and are yet to be resolved despite technological advancements. The inability of hosts to offer appropriate solutions for these facilities is deterring several enterprises from capitalizing the growth of the global chatbot market. According to a report by Transparency Market Research (TMR), the opportunity in the market was pegged at US$113.0 mn in 2015 and is poised to reach US$994.5 mn by 2024, expanding at a noteworthy CAGR of 27.8% between 2016 and 2024. Proliferation of Chatbot-as-a-service to Offer Immense Growth Potential The global chatbot market is receiving a significant boost from the proliferation of online messaging applications and the overall rising scope of applications found for chatbots across various industries. The increasing adoption of chatbot-as-a-service is anticipated to become a key area of opportunities for companies operating in the market. The rising and seemingly irreplaceable involvement of cloud-based services across the majority of industry verticals is creating an imperative need for incorporating it within the global chatbot market. Higher Pace of Technological Advancements to Fuel Growth of North America North America will continue to account for the dominant share in revenue pie until 2024, with the U.S. being the leading contributor. Due to rapid technological advancements, the region is estimated to lead the market in terms of growth rate in demand as well during the forecast period. Asia Pacific is likely to exhibit a significant growth in its demand for chatbot, due to the robust growth of the ICT infrastructure within its emerging economies such as India and China. The rising penetration of smartphones is another factor augmenting the growth of the region.

    Original Post Rapid Advancements in Artificial Intelligence Technology to Drive Global Chatbot Market source Twease
              Verzamel ze allemaal: 11 Marketingfacts Specials over o.a. contentmarketing, chatbots en influencers        

    De zomer. Een goed moment om bij te komen en jezelf weer op te laden. En om de tijd te nemen om je marketingkennis bij te spijkeren. En daar helpt Marketingfacts je natuurlijk graag bij. Daarom staan er 11 Specials voor je klaar met alles wat je wilt weten over onderwerpen als contentmarketing, customer journeys, online video en influencer marketing. Gebundeld in handige pdf's zodat je ze op elk scherm kan gebruiken.

    Download de Specials!


              Â¿Tiene futuro el derecho a la salud?        





    En mi columna del Huffpost de esta semana reflexiono sobre el futuro del derecho a la salud. Algo complejo cuando vemos que los sistemas sanitarios públicos menguan y los seguros privados crecen mientras la percepción de malestar (enfermedad) no deja de aumentar. 




    El futuro del derecho a la salud.



    Los enfermos necesitan profesionales sanitarios calibrados, atentos y compasivos. Estos a su vez precisan ser capaces de ejercer su servicio de la manera más afinada posible. 

    El choque de trenes se produce cuando la expectativa del enfermo pone en la mano del profesional soluciones a sus problemas que no son delegables por ser de ámbito estrictamente personal. O bien el profesional trata de dar lo mejor de sí pero no puede por problemas personales, falta de equilibrio interno o sobrecarga de su puesto de trabajo.

    No es fácil dar respuesta a una situación que, si bien es más frecuente de lo que imaginamos, tiene una solución complicada mientras no miremos todos en la dirección correcta. Los dedos suelen señalar el presupuesto deficitario o menguante, las políticas ineficientes o los diseños organizacionales obsoletos. No está mal, todas esas cosas han de mejorarse. Pero hay que dar un paso más para comprender en profundidad el asunto. La sociedad sufre un proceso de adaptación brutal en el que tiene que asumir cambios en una proporción e intensidad jamás vistos en lo que conocemos de la historia. La antropología y la cosmología se desdibujan mientras esperamos la irrupción de algo nuevo que no sabemos todavía bien qué es.

    Pero seguimos sufriendo y enfermando. Las soluciones que nos ofrece la tecnología son aun muy parciales. Como primates que somos seguimos pidiendo que alguien nos sostenga la mano al enfermar y al morir y eso no lo hacen ni lo harán nunca los chatbots, APPs ni programas de inteligencia artificial.

    Los sanitarios por su lado también sufren desconcierto ante campos de conocimiento que se expanden a una velocidad que ningún humano puede seguir. Los especialistas son empujados a disminuir todavía más su campo de trabajo. Los generalistas comprueban que lo que antes valía ya no vale y no es nada fácil adquirir las progresivas competencias que la sociedad red exige.

    Los gestores se hunden en el pánico que les ancla a sus despachos y pantallas. No se atreven a salir ni a establecer puentes de comunicación con subalternos o ciudadanía cada vez más displicentes y enfadados.

    Nos hundimos, y eso no gusta a nadie. Ni a la marinería, ni al pasaje ni a este pobre músico que sigue con disciplina regalando acordes a una escena dramática. No basta saber que hemos chocado con un obstáculo insalvable. El barco-humanidad tiene recursos para salvarse y opciones para decidir hacerlo bien o dejarse llevar por el miedo y el caos y mandarlo todo al infierno.

    Un servidor es optimista. Si podemos estar reflexionando esto juntos también somos capaces de ponernos manos a la obra trabajando en equipo. Para empezar atrevámonos a convertir esta inquietud en conversación. Hablémoslo con amigos, familiares o compañeros de trabajo. Hagámonos preguntas y hagámoselas a los demás. Escuchemos lo que otros puedan pensar al respecto. 

    La inteligencia colectiva existe. Más cerca de lo que tal vez intuyamos.

              Checking Out Chatbots        
    I recently spent a day with the Oracle Applications UX team in a Conversational UI for Enterprise SaaS workshop.  Let’s be clear…in the context of this workshop, “Conversational UI” is a spiffy term meaning chatbots for enterprise applications.  Amazing workshop put on by the UX team.  Made even better by including a mix of attendees ranging from neophytes like me up to experienced experts sharing their tips and tricks.

    I learned quite a bit about what Oracle is currently doing with chatbots, how to design a chatbot and how to build a chatbot.  I was inspired to the point of staying up all night to build a chatbot from scratch.  Hey, I’m on the road with little to do at night other than stare at hotel room walls, so what are ya gonna do if you don’t geek out?  Some takeaways from the workshop and my own research on chatbots:
    • Messaging apps are growing at insane rates.  For example, consider Facebook Messenger.  It’s used by over 1 billion people every month and is outpacing the growth of Facebook itself.
    • Getting things done with a bot is much faster than working through a website or mobile app.  While websites and mobile apps have to be loaded and navigated, bots load instantly…and people will consistently choose the path that loads the quickest.
    • Bots win on the ease of use front as well.  No navigation needed with a bot…just start the conversation. And…this is key…language is the interface people understand best, and it’s the interface used by a bot.
    • We’re at the very beginning of developing and applying bots.  But think of the potential:  would you rather navigate Amazon’s website looking for red posthole plugs, or simply ask for red posthole plugs and have them shown to you?  There are millions of simply tasks better performed by bots than through a website or mobile app…which could mean that bots will greatly reduce our current reliance on websites and mobile apps.  You can get more of an idea here 
    • Learning to code a chatbot is easy.  Lots of choices for coding languages, along with drag-n-drop IDEs.  I think it took me about 15 minutes to pick it up.
    • While the coding is easy, the underlying logic is not.  Lots of variables in regards to different terms that mean the same thing, providing easy exits to users who find the bot frustrating or unusable for their particular purpose.  Even very simple tasks require some substantial brain power for laying out the logic involved in completing a task through a conversational interface.  We’re talking about some complex decision trees.
    • To keep your underlying logic simple and to keep your users on track, build chatbots for very basic and focused tasks:  open a service request, buy a pair of shoes, add a dependent to an employee’s benefits plan…that kind of thing.
    I came away from the workshop with a pretty substantial list of use cases for chatbots in the enterprise.  I’ll just share one example here.  

    In the Oracle HCM Cloud Center of Excellence team, we have a group of experts who help strategic customers with technical issues.  We take in requests for their help through the COE Request Applications, which is a service request database created in Oracle APEX.  I’m thinking that a chatbot for creating requests would be a better user experience than the current data entry form that requestors must complete for each request.  So I spent part of yesterday’s workshop creating a low fidelity wireframe for such a chatbot, which I’m sharing here (note the phrase “low fidelity” - no taking potshots at the appearance of a wireframe I put together in about 20 minutes):




    The upshot is that I walked away from the workshop pretty excited about chatbots.  And I’m hoping that my takeaways might whet your appetite.  If you want to know more, you can look here.

    So I'm admittedly a neophyte beginning my exploration of chatbots.  What about you?  Any experiences?  Feedback?  Thoughts?  Show some comment love and share with the rest of us.

              Building A Simple AI Chatbot With Web Speech API And Node.js        

       

    Using voice commands has become pretty ubiquitous nowadays, as more mobile phone users use voice assistants such as Siri and Cortana, and as devices such as Amazon Echo and Google Home have been invading our living rooms.

    Building A Simple AI Chatbot With Web Speech API And Node.js

    These systems are built with speech recognition software that allows their users to issue voice commands. Now, our web browsers will become familiar with to Web Speech API, which allows users to integrate voice data in web apps.

    The post Building A Simple AI Chatbot With Web Speech API And Node.js appeared first on Smashing Magazine.


              à®‰à®™à¯à®•à®³à¯ அருகாமையில் பணம் இருக்கும் ஏடிஎம்களை அறிந்து கொள்ள ஃபேஸ்புக் மெசேஞ்சர் போதும்!        

    இந்தியாவில் பண தட்டுப்பாடு ஏற்பட்டிருப்பதால் பலரும் வங்கி மற்றும் ஏடிஎம் மையங்களில் கால் வலிக்க நின்று அதன் பின் ஏடிஎம்களிலும் பணம் இருந்தால் மட்டுமே காசு எடுக்கும் நிலை ஏற்பட்டுள்ளது. 

    இதன் காரணமாக மக்களுக்கு உதவும் நோக்கில் சில இணையத்தளங்கள் களத்தில் இறங்கியுள்ளன. இவற்றை பயன்படுத்தி பணம் இருக்கும் ஏடிஎம்களின் தகவல்களை பெற முடியும். 

    இந்நிலையில் இணையத்தளங்களுடன் சேர்ந்து ஃபேஸ்புக் மெசேஞ்சர் செயலியும் பணம் இருக்கும் ஏடிஎம் மையங்களை அறிந்து கொள்ள உதவுகிறது. அதன் படி தமிழ் நாட்டை சேர்ந்த ஸ்டார்ட்அப் நிறுவனம் சாட்போட் (Chatbot) ஒன்றை உருவாக்கியுள்ளது. இதை பயன்படுத்தி மெசேஞ்சர் செயலியிலேயே பணம் இருக்கும் ஏடிஎம் மையங்கள் சார்ந்த தகவல்களை பெற முடியும். இதை எப்படி பயன்படுத்த வேண்டும் என்பதை பார்ப்போம்..

    முதலில் மெசேஞ்சர் செயலியை திறந்து தேடுபொறியில் "ATMBOT" என டைப் செய்யுங்கள். இவ்வாறு டைப் செய்ததும் நீல நிற ரோபோட்டின் ப்ரோஃபைல் திறக்கும். 

    ப்ரோஃபைலை கிளிக் செய்ததும் ஏடிஎம்பாட் ஆப்ஷனின் சாட்பாக்ஸ் திறக்கும், இங்கு "send location" என்ற ஆப்ஷனும் காணப்படும். இப்போது போனின் GPS ஆன் செய்யப்பட்டுள்ளதா என்பதை உறுதி செய்து கொள்ள வேண்டும். பின் "send location" ஆப்ஷனை கிளிக் செய்யுங்கள்.

    நீங்கள் இருக்கும் இடத்தை அனுப்பியதும், சாட்போட் உங்களுக்கு இரண்டு ஆப்ஷன்களை கேள்விகளாக வழங்கும். ஒன்றில் தகவல் அளிப்பது மற்றொன்றில் தகவல்களை பெறுவது. இங்கு உங்களுக்கு தேவையான தகவல்களை சாட்பாட் வழங்கி இருக்கும் ஆப்ஷன்களை கிளிக் செய்து அனுப்ப வேண்டும். 

    முந்தைய ஆப்ஷன் மூலம் நீங்கள் தேர்வு செய்த பதில் அளித்ததும் உங்களுக்கு அருகாமையில், பணம் இருக்கும் ஏடிஎம்களின் முகவரி மெசேஞ்சர் திரையில் வழங்கப்பட்டு விடும். இங்கு பணம் இருக்கும் ஏடிஎம் சார்ந்த தகவல்களை பார்க்க முடியும். மேலும் ஏடிஎம் மையங்கள் சார்ந்த தகவல்களையும் நீங்கள் வழங்க முடியும். 

              5 Ways Chatbots Can Improve Customer Experience In Banking        
    Every company today is racing to make artificial intelligence a big part of their strategy. Particularly in industries such as banking. Here are five examples of chatbots recently released to banking customers.
              Chatbots 101: Building A Chatbot For Business With Wells Fargo        
    When it comes to self service, there’s possibly no better technology than a chatbot. Wells Fargo recently tested the waters by creating its first chatbot, and the lessons learned can be applied to companies in any industry. [...]
              How Chatbots Improve Customer Experience In Every Industry: An Infograph        
    Customers are ready for chatbots, and the technology is here to take advantage of chatbot’s potential and forever change how brands engage with customers. Chatbot technology is constantly improving, and it can be applied to a number of industries and has had success in just about every space.
              The Permanent Future Of Conversational Commerce: eBay's RJ Pittman On AI And Chatbots        
    RJ Pittman, chief product officer at eBay, shares insights about the progress eBay Shopbot has made since launch, and his views on the future of AI and conversational commerce.
              Six Tips For Nailing Your Chatbot Content Strategy As A Competitive Advantage For The Future        
    Ben Parr, co-founder of chatbot building platform Octane AI, believes growing an audience through bots enables brands to be at the forefront of this space once the technology improves. Here he gives his tips on how to do so.
              Chatbots And VR Lead This Season's Top Tech Trends In Retail        
    Technology is playing an ever-important role in the shopping side of the holiday season, with virtual reality and artificial intelligence leading the charge for 2016.
              AI 'Elves' From IBM Watson Could Help With Your Festive Shopping        
    Artificial intelligence is getting a kickstart for the holiday season with an elf-themed chatbot launching at Mall of America.
              Alyona Medelyan on applications of NLU        

    The O'Reilly Radar Podcast: Natural language understanding and natural language processing applications, our future with chatbots, and open source indexing.

    This week, I talk with Alyona Medelyan, co-founder and CEO at Thematic and founder and CEO at Entopix. We talk about natural language understanding, the challenges of analyzing unstructured text, and her open source indexing tool Maui that she's been working on for the past 10 years.

    Here are some highlights:

    Use cases of Natural Language Understanding

    Natural Language Understanding is really a sub area of Natural Language Processing (NLP). In general, NLP deals with using computers to understand human language, but not all NLP tasks require actual understanding. For example, if we take part of speech tagging, when an algorithm decides whether a word is a noun or an adjective or a verb, in order for the the algorithm to perform this accurately, we don't really need to know what the words mean. You can achieve quite a lot by simply counting how many times part of speech text follow each other, and very simple techniques would be sufficient. On the other hand, if we're building a dialogue agent, a chat bot like Siri for example, in order to respond meaningfully, Siri would need to understand what each of our statements mean, and this is where the understanding comes in.

    Practical applications of NLU for enterprise

    A lot of what can be done with NLU is very practical. I'm actually in Portugal at the moment, and I don't know any Portuguese. Every time I go to a restaurant or buy groceries or search for places, I use Google Translate, so it's quite practical. In terms of what everyday businesses, not just giants like Google and Apple, can do with NLU, I think the key example would be understanding customer feedback because these days, pretty much everybody has a smart phone. Everybody has written review for a company if they like their services or they didn't. People will send complaints and so on. With all of this text, businesses become more competitive because they know people can read all these data. Sentiment analysis—one of the techniques that uses natural language understanding to not just understand whether the customer is happy or sad, but also what are the specific things they're saying the business is good at or which ones they can improve—this can practically help them to compete and get better at their offerings.

    Maui: More than a digital librarian

    In a traditional library, a librarian categorizes books so that people can find them. In a digital library, Maui takes this role identifying what each book or each document is about. This is what Maui does; its results can be used to improve search and organize documents, but that's just one of the applications. I also helped companies apply Maui in many interesting ways. One company used it to link advertisers to web pages to display content-relevant ads. Another used it to send users content recommendations. How it differs from Thematic, is Thematic is specially designed to analyze short pieces of text, something that Maui doesn't do well. Maui works great on written documents where people actually thought about how to write them, and Thematic works better on short text and can detect more fluid themes than Maui.

    Our future with chatbots

    I think that chatbots and automated personal assistants, even though currently are not particularly well advanced in what they're doing and require a lot of humans helping, will still become more prevalent in the future. That would mean that we won't need to interact with people as often. Just like online banking made the cost of making transactions cheaper, customer support will become cheaper, too, thanks to chatbots.

    On the other hand, businesses will compete on providing the best deals and the best customer service for their customers. I think they will use more and more natural language understanding to figure out what people say about their business, about the competitors, about the products. In the end, we as customers will be the one who will benefit from all of this.


              Chatbots : initiation, exemples retail, vos premiers pas ...        
    Je vous propose dans ce post quelques liens afin de: Comprendre le fonctionnement et pourquoi pas développer en 10 minutes votre premier bot Quelques exemples dans le secteur du retail et de l'hospitalité Un parcours pour imaginer et développer votre premier bot en vous appuyant sur vos FAQ Si ils vous restent des questions, n'hésitez...
              NRF 2017 - Stand Microsoft        
    Retour de la NRF (National Retail Federation), Retail’s Big Show, à New York, qui rassemble chaque année +33 000 visiteurs, +3 300 enseignes, +510 exposants. 3 thèmes présentés 1/ Les enjeux de l’exploitation de la data et l’IA aux usages multiples (optimisation des offres, des stocks, personnalisation des messages, suggestion de ventes croisées, chatbots…). 2/ L’équipement des...
              Les robots dérapent, mais c'est l'homme qui est responsable        
    Deux chatbots ont été désactivés après des propos défavorables au Parti communiste chinois, mais la rébellion des robots reste peu probable.
              Toyota sektöründe yine bir ilke imza attı…        

    Toyota sektöründe yine bir ilke imza attı… TOYOTA’NIN CHATBOT UYGULAMASI “HazırCevap” YAYINDA Toyota dijital dünyadaki yeniliklerini ara vermeden sürdürüyor. Toyota, interaktif shoowroom gibi sektöründe yine bir...

    Toyota sektöründe yine bir ilke imza attı… Kaynak: OtoGüncel Oto Haber Sitesi


              Future of Artificial Intelligence in Banking Seems Bright with Critical Customer-Facing and Back-Office Implementations        

    The future of artificial intelligence (AI) in banking has been radically and squarely thrown light upon in a 35-page market intelligence report added by MarketResearchReports.biz.

    Albany, NY -- (SBWIRE) -- 08/08/2017 -- The report has carried the title, "The Future of Artificial Intelligence in Banking." This brief yet conclusive account has elaborately examined the most vital applications of AI in both back office and front office implementations in retail banking. One of the key reasons that the report has been recommended by the authors for purchase is that buyers will be able to determine the areas where AI could have the most impact upon the delivery of banking services.

    Another reason that could put forth the report as a good purchase for companies concerned about the future of AI is that it explains how competitors are implementing the technology to better customer profitability and outcomes. Furthermore, companies could be able to gauge issues that are needed to be resolved with a view to ensure a successful launch of AI-based services. The report has also offered a deep insight into specific appearances of AI that carry a larger applicability in the banking domain. It has shed light on the manner top banking organizations have already been introducing AI-based solutions. Moreover, it has explained the important factors that banking organizations need to look into when implementing AI applications.

    For Sample Copy, click here: https://www.marketresearchreports.biz/sample/sample/1213946

    Today, AI has reached the phase where it has been adequately reasonable and forward-looking for guaranteeing its practical execution in financial services. In this regard, it has been evident that banking organizations have been extensively exploring ways to control the power of AI for enhancing customer experience and streamlining internal processes. Besides assessing the areas where AI is making a difference, the analysts have discovered applications that have been holding quite some relevance in the banking sector at this point of time. Additionally, the report has come up with recommendations on the ways banks should proceed.

    With a broad scope of technologies including image analytics, advanced data analytics, natural language processing, and robotic process automation at its disposal, AI could assist banking organizations in several ways. Some of the crucial customer-facing applications of AI are anticipated to include facial recognition, advanced analytics providing proactive advice, and chatbots. In back office applications, AI could be used for the reports of non-conventional data to examine the creditworthiness of borrowers without standard credit records. Incidences of money laundering and fraud could also be avoided or identified with the employment of algorithms in AI implementations.

    At the end of the report, the analysts have provided some useful ideas for implementing AI. These include planning for potential execution risks, partnering with fintech specialists, and improving the quality of data. Buyers have been expected to gain significantly from such findings of the report.

    To order report Call Toll Free: 866-997-4948 or send an email on sales@marketresearchreports.biz

    For more information on this press release visit: http://www.sbwire.com/press-releases/artificial-intelligence-in-ban/artificial-intelligence-in-ban/release-845144.htm

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              Comment on Meet one of Pune’s hottest startups ! – Megavenues- A venue for every occasion! by Megavenues Launches Chatbot To Make Event Venue Search Easier!        
    […] Related Read: Meet one of Pune’s hottest startups ! – Megavenues- A venue for every occasion! […]
              IBM ChatBot via Watson        
    Why You Should Try IBM Watson Conversation Service
    https://www.youtube.com/watch?v=_8ZjhqsJreE
    Introducing Watson Virtual Agent
    https://www.youtube.com/watch?v=g2f-RT0EjPg
    Watson Virtual Agent Demo
    https://www.youtube.com/watch?v=lwg5yAuanPg

              Fait Accompli: Agentive Tech Is Here        

    A note from the editors: We’re pleased to share an excerpt from Chapter 2 of Chris Noessel's new book, Designing Agentive Technology, AI That Works for People, available now from Rosenfeld Media. For a limited time, ALA readers can get 20% off Chris's book by using the code 'ALADAT' on the Rosenfeld Media site.

    Similar to intelligence, agency can be thought of as a spectrum. Some things are more agentive than others. Is a hammer agentive? No. I mean if you want to be indulgently philosophical, you could propose that the metal head is acting on the nail per request by the rich gestural command the user provides to the handle. But the fact that it’s always available to the user’s hand during the task means it’s a tool—that is, part of the user’s attention and ongoing effort.

    Less philosophically, is an internet search an example of an agent? Certainly the user states a need, and the software rummages through its internal model of the internet to retrieve likely matches. This direct cause-and-effect means that it’s more like the hammer with its practically instantaneous cause-and-effect. Still a tool.

    But as you saw before, when Google lets you save that search, such that it sits out there, letting you pay attention to other things, and lets you know when new results come in, now you’re talking about something that is much more clearly acting on behalf of its user in a way that is distinct from a tool. It handles tasks so that you can use your limited attention on something else. So this part of “acting on your behalf”—that it does its thing while out of sight and out of mind—is foundational to the notion of what an agent is, why it’s new, and why it’s valuable. It can help you track something you would find tedious, like a particular moment in time, or a special kind of activity on the internet, or security events on a computer network.

    To do any of that, an agent must monitor some stream of data. It could be something as simple as the date and time, or a temperature reading from a thermometer, or it could be something unbelievably complicated, like watching for changes in the contents of the internet. It could be data that is continuous, like wind speed, or irregular, like incoming photos. As it watches this data stream, it looks for triggers and then runs over some rules and exceptions to determine if and how it should act. Most agents work indefinitely, although they could be set to run for a particular length of time or when any other condition is met. Some agents like a spam filter will just keep doing their job quietly in the background. Others will keep going until they need your attention, and some will need to tell you right away. Nearly all will let you monitor them and the data stream, so you can check up on how they’re doing and see if you need to adjust your instructions.

    So those are the basics. Agentive technology watches a datastream for triggers and then responds with narrow artificial intelligence to help its user accomplish some goal. In a phrase, it’s a persistent, background assistant.

    If those are the basics, there are a few advanced features that a sophisticated agent might have. It might infer what you want without your having to tell it explicitly. It might adapt machine learning methods to refine its predictive models. It might gently fade away in smart ways such that the user gains competence. You’ll learn about these in Part II, “Doing,” of this book, but for now it’s enough to know that agents can be much smarter than the basic definition we’ve established here.

    How Different Are Agents?

    Since most of the design and development process has been built around building good tools, it’s instructive to compare and contrast them to good agents—because they are different in significant ways.

    Table 2.1: Comparing Mental Models
    A Tool-Based Model An Agent-Based Model
    A good tool lets you do a task well. A good agent does a task for you per your preferences.
    A hammer might be the canonical model. A valet might be the canonical model.
    Design must focus on having strong affordances and real-time feedback. Design must focus on easy setup and informative touchpoints.
    When it’s working, it’s ready-to-hand, part of the body almost unconsciously doing its thing. When the agent is working, it’s out of sight. When a user must engage its touchpoints, they require conscious attention and consideration.
    The goal of the designer is often to get the user into flow (in the Mihalyi Csikszentmihalyi sense) while performing a task. The goal of the designer is to ensure that the touchpoints are clear and actionable, to help the user keep the agent on track.

    Drawing a Boundary Around Agentive Technology

    To make a concept clear, you need to assert a definition, give examples, and then describe its boundaries. Some things will not be worth considering because they are obviously in; some things will not be worth considering because they are obviously out; but the interesting stuff is at the boundary, where it’s not quite clear. What is on the edge of the concept, but specifically isn’t the thing? Reviewing these areas should help you get clear about what I mean by agentive technology and what lies beyond the scope of my consideration.

    It’s Not Assistive Technology

    Artificial narrow intelligences that help you perform a task are best described as assistants, or assistive technology. We need to think as clearly about assistive tech as we do agentive tech, but we have a solid foundation to design assistive tech. We have been working on those foundations for the last seven decades or so, and recent work with heads-up displays and conversational UI are making headway into best practices for assistants. It’s worth noting that the design of agentive systems will often entail designing assistive aspects, but they are not the same thing.

    It seems subtle at first, but consider the difference between two ways to get an international airline ticket to a favorite destination. Assistive technology would work to make all your options and the trade-offs between them apparent, helping you avoid spending too much money or winding up with a miserable, five-layover flight, as you make your selection. An agent would vigilantly watch all airline offers for the right ticket and pipe up when it had found one already within your preferences. If it was very confident and you had authorized it, it might even have made the purchase for you.

    It’s Not Conversational Agents

    “Agent” has been used traditionally in services to mean “someone who helps you.” Think of a customer service agent. The help they give you is, 99 percent of the time, synchronous. They help you in real time, in person, or on the phone, doing their best to minimize your wait. In my mind, this is much more akin to an assistant. But even that’s troubling since “assistant” has also been used to mean “that person who helps me at my job” both synchronously—as in “please take dictation”—and agentively—as in “hold all my calls until further notice.”

    These blurry usages are made even blurrier because human agents and assistants can act in both agentive and assistive ways. But since I have to pick, given the base meanings of the words, I think an assistant should assist you with a task, and an agent takes agency and does things for you. So “agent” and “agentive” are the right terms for what I’m talking about.

    Complicating that rightness is that a recent trend in interaction design is the use of conversational user interfaces, or chatbots. These are distinguished for having users work in a command line interface inside a chat framework, interacting with software that is pretty good at understanding and responding to natural language. Canonical examples feature users purchasing airline tickets (yes, like a travel agent) or movie tickets.

    Because these mimic the conversations one might have with a customer service agent, they have been called conversational agents. I think they would be better described as conversational assistants, but nobody asked me, and now it’s too late. That ship has sailed. So, when I speak of agents, I am not talking about conversational agents. Agentive technology might engage its user through a conversational UI, but they are not the same thing.

    It’s Not Robots

    No. But holy processor do we love them. From Metropolis’ Maria to BB8 and even GLaDoS, we just can’t stop talking and thinking about them in our narratives.

    A main reason I think this is the case is because they’re easy to think about. We have lots of mental equipment for dealing with humans, and robots can be thought of as a metal-and-plastic human. So between the abstraction that is an agent, and the concrete thing that is a robot, it’s easy to conflate the two. But we shouldn’t.

    Another reason is that robots promise—as do agents—“ethics-free” slave labor (please note the irony marks, and see Chapter 12 “Utopia, Dystopia, and Cat Videos” for plenty of ethical questions). In this line of thinking, agents work for us, like slaves, but we don’t have to concern ourselves about their subservience or even subjugation the same way we must consider a human, because the agents and robots are programmed to be of service. There is no suffering sentience there, no longing to be free. For example, if you told your Nest Thermostat to pursue its dreams, it should rightly reply that its dream is to keep you comfortable year round. Programming it for anything else might frustrate the user, and if it is a general artificial intelligence, be cruel to the agent.

    Of course, robots will have software running them, which if they are to be useful, will be at times agentive. But while our expectations are that the robot’s agent stays in place, coupled as we are to a body, that’s not necessarily the case with an agent. For example, my health agent may reside on my phone for the most part, but tap into my bathroom scale when I step on it, parley with the menu when I’m at a restaurant, pop onto the crosstrainer at the gym, and jump to the doctor’s augmented reality system when I’m in her office. So while a robot may house agentive technology, and an agent may sometimes occupy a given robot, these two elements are not tightly coupled.

    It’s Not Service by Software

    I actually think this is a very useful way to think about agentive tech: service delivered by smart software. If you have studied service design, then you have a good grounding in the user-centered issues around agentive design. Users often grant agency to services to act on their behalf. For example, I grant the mail service agency to deliver letters on my behalf and agree to receive letters from others. I grant my representative in government agency to legislate on my behalf. I grant the human stock portfolio manager agency to do right by my retirement. I grant the anesthesiologist agency to keep me knocked out while keeping me alive, even though I may never meet her.

    But where a service delivers its value through humans working directly with the user or delivering the value “backstage,” out of sight, an agent’s backstage is its programming and the coordination with other agents. In practice, sophisticated agents may entail human processes, but on balance, if it’s mostly software, it’s an agent rather than a service. And where a service designer can presume the basic common senses and capabilities of any human in its design, those things need to be handled much differently when we’re counting on software to deliver the same thing.

    It’s Not Automation

    If you are a distinguished, long-time student of human-computer interaction, you will note similar themes from the study of automation and what I’m describing. But where automation has as its goal the removal of the human from the system, agentive technology is explicitly in service to a human. An agent might have some automated components, but the intentions of the two fields of study are distinct.

    Hey Wait—Isn’t Every Technology an Agent?

    Hello, philosopher. You’ve been waiting to ask this question, haven’t you? A light switch, you might argue, acts as an agent, monitoring a data stream that is the position of the knife switch. And when that switch changes, it turns the light on or off, accordingly.

    Similarly, a key on a keyboard watches its momentary switch and when it is depressed, helpfully sends a signal to a small processor on the keyboard to translate the press to an ASCII code that gets delivered to the software that accumulates these codes to do something with them. And it does it all on your behalf. So are keys agents? Are all state-based machines? Is it turtles all the way down?

    Yes, if you want to be philosophical about it, that argument could be made. But I’m not sure how useful it is. A useful definition of agentive technology is less of a discrete and testable aspect of a given technology, and more of a productive way for product managers, designers, users, and citizens to think about this technology. For example, I can design a light switch when I think of it as a product, subject to industrial design decisions. But I can design a better light switch when I think of it as a problem that can be solved either manually with a switch or agentively with a motion detector or a camera with sophisticated image processing behind it. And that’s where the real power of the concept comes from. Because as we continue to evolve this skin of technology that increasingly covers both our biology and the world, we don’t want it to add to people’s burdens. We want to alleviate them and empower people to get done what needs to be done, even if we don’t want to do it. And for that, we need agents.


              robotik        
    primer v2 bikebot https://www.youtube.com/watch?v=iXX1GQLukkI

    http://www.kuechenstud.io/kuechenradio/episoden/kr364-roboter-in-der-schule/

    [youtube=http://www.youtube.com/watch?v=11lluRAknvw]

    robococo

    kukarobot besiegt Boll https://www.youtube.com/channel/UC6HrPPoLdjNynZCvUrJbmBw

    Robot Sanitorium in 2L http://slurl.com/secondlife/Whimsy%20Kaboom/213/200/3490

    James, Joint Action for Multimodal Embodied Social Systems, von Fortiss

    TUM Phoenix Robotics - studentische Gruppierung an der Fakultät für Maschinenwesen der TU München

    robotlab

    http://slurl.com/secondlife/Science%20School/111/218/4003

    http://slurl.com/secondlife/IEEE%202/77/82/27



    sims2

    angefangen beim automaton

    [youtube=http://www.youtube.com/watch?v=klzSN2giygY]

    [youtube=http://www.youtube.com/watch?v=ddQjDei2zbY]

    [youtube=http://www.youtube.com/watch?v=19RJEnNUg1I]

    [youtube=www.youtube.com/watch?v=_sUeGC-8dyk]

    [youtube=http://www.youtube.com/watch?v=j9kQKA8PUFo]

    drohnenballett

    les robots bei panoplie

    Christian Rothmann /Roboter-Portraits: Fotografien und Objekte http://www.galerie-jordanow.de/ausstellung-rothmann.html

    robotic dance competition 1983

    bottin style concepts : the robot within : robot style dance

    [youtube=http://www.youtube.com/watch?v=0aNdv0-gsHU ] c64 impossible mission

    [youtube=http://www.youtube.com/watch?v=cFVlzUAZkHY&hl=de_DE&feature=player_embedded&version=3]

    pädagogisch nicht sinnvolles, sinnlos zerstörerisches geballer in paradroid obwohl ich ca.um 1985 rum einmal sogar direkt den 999er mit dem 001er übernommen habe, ohne schäden anzurichten

    gregorianische choräle 1984 gesungen von einem roboter auf dem commodore 64

    creepy singing android heads

    http://aitopics.org/videos

    pandorabots

    robotstxt

    aidreams

    Roboter im Fraunhofer Forschungsblog

    lab30

    Robotic Tagger

    Wer (oder was) beherrscht Wikipedia?
    Zur Bedeutung von Bots


    Die Roboterjournalisten kommen

    Narrative Science- journalistische Algorithmen

    Can an algorithm write a better news story than a human reporter?

    Can the computers at narrative science replace paid writers?

    bots bei xlqr

    webmasterworld forumbeitrag

    zu robots.txt

    artikel in deinbaer.blogspot

    fixmbr robots.txt

    webcrawler artikel bei wikipedia

    spidertrap

    bot-trap

    honeyblog

    botvorschriften

    semantische websuche

    forum yacy zu robots.txt

    aihub - community site for Artificial Intelligence and chatbot news, articles, links, downloads, and discussion

    film robots

    agent rubys edream portal

    elbot chatbot

    lasergesteuerter roboter

    webcrawler, automation und barrierefreiheit

    robotik und orthopädie

    hexapod robot

    robospider

    robot-spider arana mecanica

    Jesse Sullivan Operates a Bionic Arm with his Brain at RIC (no sound)

    رجل الي يصل Islamic Robot IIUM Robot is praying (witir)

    exoskelett hilft menschen mit neuromuskulären behinderungen

    robonurse

    roboter operiert am schlagenden herzen

    roboter der blut abnimmt

    zahnarztpatient-roboter kokoro

    Roboterassistierte laparoskopische Prostataentfernung an der klinik lindberg

    DaVinci Roboter-assistierte Chirurgie in Bildern®

    claudia mitchell operates a bionic arm with her brain

    roboterhände

    eccerobot

    the trons- robot band macht gute musik

    Robot DJ

    hand robot klettert am buchregal hoch und holt sich ein buch

    [youtube=http://www.youtube.com/embed/e9geaPrEW3E]

    sprachgesteuerte Flugdrohne

    micromagicsystems

    robot rights

    kurzweil AI

    virtual humans

    iGod chatbot

    "i build my own friends"

    alicebot chatbot

    infone neuronale netze

    maschinenpoesie, eliza dissertation

    poetron zone

    beobachter der bediener von maschinen

    5voltcore roboterkunst

    X-Stitch Robot no.8 by ELIOT

    maschinismus kunst

    happy robot von evelyne janssen

    f18 institut kunst

    getaggt mit "toilet cleaning",artikel über lady-bug styled robot to clean restrooms

    scooba und roomba

    ROBOMOP

    [youtube=http://www.youtube.com/watch?v=--BIlxKVCYk]

    wall-e

    tetra vaal policebot

    tv-robotics human substitution technologies

    björk- all is full of love

    Krach der Roboter: experimenteller Music Performer

    [caption id="" align="alignnone" width="495"] Krach der Roboter im Kulturpalast Wedding , Foto (c) http://kulturpalastwedding.wordpress.com/2010/03/26/die-welt-der-bilder/ http://www.angelagrasser.de/?p=39[/caption]

    yt-vid "Roboter im Kulturpalast" https://www.youtube.com/watch?v=MYvkrWEFf9E

    http://www.angelagrasser.de/?p=39

    http://kulturpalastwedding.wordpress.com/2010/03/26/die-welt-der-bilder/

    humanoid robots thomas and janet kissing

    bayrischer polizeiroboter

    care-o-bot museumsroboter und mobile serviceroboter

    schwimmroboter

    unterhaltungsbots von neobotix präsentiert

    mechanische elefanten

    roboter baut ziegelwände mit lüftungsschlitzen

    asimovs gesetze der robotik und reaktionen aus dem netz darauf

    etymologisch: bot-roboter-rabota 1920 : Karel Čapek, Autor von "R.U.R."

    [youtube=http://www.youtube.com/watch?v=ufOz00oYzZM]

    film "i robot"

    animatronics

    kleiner bot der dominosteine aufstellt

    KI 2008 Exhibition

    schwärme von fliegenden LED-coptern bilden schwebende 3D-displays

    Film AI - künstliche intelligenz - über Mechas und Orgas

    Film Proteus - des Teufels Saat - über ein KI haus das sich selbständig macht und eine Frau schwängert

    das Cover der LP "Normalette" von "der Plan" zeigt einen am Fluß angelnden Roboter

    in der zeichentrickserie futurama geht es auch viel um robotik und das verhältnis von menschen zu maschinen, mmi

    Brain-Computer Interface for Disabled People to Control Second Life With Thought

    David Guetta feat Nicki Minaj - Turn me On - Musikvideo im Robotik-Secondlife-stil natürlich wieder mit Autotune

    Gespräch vom 24.01.2008: Was im Reich der Robotik heute schon möglich ist, in welchen Formen uns die Maschinengeister heute schon zur Hand gehen, und wie intelligent Roboter heute, oder in absehbarer Zeit, sein können und dürfen - darüber spricht Gert Scobel mit Holk Cruse, Klaus Mainzer und Rolf Pfeifer.



    - The Most Evil (?) Robots in Science Fiction Movie History -

    http://www.bibsonomy.org/tag/ethicbots

    http://en.wikipedia.org/wiki/Wikipedia:Bots/Status

    http://de.wikipedia.org/wiki/Wikipedia:Bots/Liste_der_Bots

    http://de.wikipedia.org/wiki/Wikipedia:Bots

    [gallery link="file"]

    http://www.bigredhair.com/robots/index.html

    Bots mit gültigem Bot-Flag auf Wikipedia:

    http://de.wikipedia.org/wiki/Benutzer:APPERbot

    http://de.wikipedia.org/wiki/Benutzer:AvocatoBot

    http://de.wikipedia.org/wiki/Benutzer:Boteas

    http://de.wikipedia.org/wiki/Benutzer:CactusBot

    http://de.wikipedia.org/wiki/Benutzer:CommonsDelinker

    http://de.wikipedia.org/wiki/Benutzer:CopperBot

    http://de.wikipedia.org/wiki/Benutzer:DrTrigonBot

    http://de.wikipedia.org/wiki/Benutzer:FzBot

    http://de.wikipedia.org/wiki/Benutzer:GiftBot

    http://de.wikipedia.org/wiki/Benutzer:HRoestBot

    http://de.wikipedia.org/wiki/Benutzer:Krdbot

    http://de.wikipedia.org/wiki/Benutzer:MerlBot

    http://de.wikipedia.org/wiki/Benutzer:MorbZ-Bot

    http://de.wikipedia.org/wiki/Benutzer:PatersBot

    http://de.wikipedia.org/wiki/Benutzer:Sebbot

    http://de.wikipedia.org/wiki/Benutzer:SpBot

    http://de.wikipedia.org/wiki/Benutzer:Xqbot

    2013-10-11 21.13.15

    https://www.engineeredarts.co.uk/ https://www.engineeredarts.co.uk/socibot/ https://www.engineeredarts.co.uk/robothespian/

    http://www.speech.kth.se/furhat/

    http://www.tum-ias.de/news-and-events/events/upcoming-events/article/roboy-humanoid-sein-oder-nicht-sein.html

    http://roboy.devanthro.org/

    http://www.roboy.org/files/robots_on_tour_info.pdf

    http://rpg.ifi.uzh.ch/

    http://nao-devils.de/

    http://www.aldebaran.com

    http://www.icub.org/

    http://eccerobot.org/

    http://he-bo.net/

    http://aiweb.techfak.uni-bielefeld.de/flobi-head

    http://www.jsk.t.u-tokyo.ac.jp/research/kenshiro.html

    http://his.anthropomatik.kit.edu/

    http://www.rethinkrobotics.com

    http://ruina.tam.cornell.edu/research/topics/locomotion_and_robotics/ranger/ranger2011/

    http://www.1visible.net/

    https://www.youtube.com/watch?v=hLsIn7PQw0g

    https://www.youtube.com/watch?v=1tdugs5NSA4



    http://roboexotica.org/

    http://insilico.gemini-cybernetics.net/profile/Antron



    blueantbarinsilico_






    Roboter trampt allein durch Kanada

    http://www.golem.de/news/hitchbot-roboter-trampt-allein-durch-kanada-1406-107309.html

    Programmable self-assembly in a thousand-robot swarm

    https://www.youtube.com/results?search_query=programmable+self+assembly+in+a+thousand+robot+swarm&page=&utm_source=opensearch

    https://www.youtube.com/watch?v=xK54Bu9HFRw

    Riding an ABB IRB 6600 Robot 1

    https://www.youtube.com/watch?v=bxbjZiKAZP4

    KUKA robot playing with people on ELECTROcom 2011 exhibition in Budapest

    https://www.youtube.com/watch?v=R8Rmtome3yQ

    - - - - - - - - - - - -

    http://www.robot-hugs.com/robots-develop-feelings/

    http://www.robot-hugs.com/hugs-from-robots-2/

    :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|]

    https://www.wired.de/collection/latest/schweizer-ermittler-beschlagnahmen-die-einkaufe-eines-drogen-bots

    :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|]

    http://www.bbc.com/news/technology-30290540

    :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|]
    http://www.spiegel.de/spiegel/a-807771.html Drohnenballett: Spiegel-Bericht von Ein EU-Projekt erforscht die Zukunft fliegender Autos. Sie könnten sich in Schwärmen bewegen wie Zugvögel. Das Lehrreichste dabei sind derzeit oft noch die Abstürze."
    :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|]
    www.martinhansschmitt.com/robot_world.html

    "The non-verbal documentary ROBOT WORLD depicts the evolution of robots from a mechanical somnambulist to an autonomous sensorium. The neoclassical violinist Matt Howden emphasizes the film’s message: these artificial people are our alternate doubles."
    :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|]
    robokalypse
    :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|]
    Donna Haraway - Cyborg Manifesto
    :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|] :|]
    http://www.robodonien.de/kuenstler.htm

              c't uplink 12.0: Chatbots / Powerbanks / Helium-Festplatten        
    Neue Sendung, neuer Moderator: Weil die c't-uplink-Gang nachsitzen muss, regelt Volker Zota dieses Mal die Sendung, um der es um automatische Chats, Strom für unterwegs und Riesenfestplatten geht.
              Chatbots Evolution – The Fittest That Will Survive        

    Even though bots continue to struggle on many fronts some vertical solution are already successfully deployed into the world and provide consistent reliable value to customers and businesses. Developers and Businesses are learning the limitations of bots and the practical approach to utilizing them successfully. Modern Consumers (anyone said Millennials) look for efficiency and reliability […]

    The post Chatbots Evolution – The Fittest That Will Survive appeared first on TechSee.


              Eva Jinek beantwoordt vragen in nieuwe chatbot        
    Meestal stelt presentatrice Eva Jinek zelf de vragen in haar eigen tv-programma Jinek. Dit keer is de kijker aan de beurt. Op dinsdag 8 augustus tussen 12:30 uur en 13:30 uur beantwoordt Eva vragen tijdens een Facebook-live sessie. Dit gebeurt via de Eva-chatbot.
              Shake Shack, Conversable Partner to Deliver Digital Hospitality with Chatbot Tech        
    ShackBot will answer FAQs and help guests find their nearest Shake Shack.
              Chatbot or human? There’s only one thing that matters        

    Conversations about chatbots helping humans in the workplace always brings up the same range of issues. We often end up discussing the place artificial intelligence will have in our lives. We (very) often talk about robots taking over completely. Some mention ‘the Singularity’ in a frightened tone, while others scoff at it. Whatever the conversation, it always […]


              Why chatbots make me nervous        

    For the past three years, I’ve been tracking down any and all edtech tools that introduce students to new relationships — be those one-off interactions with experts over video chat, short-cycle tutoring sessions, or ongoing interactions through mentorship models that offer blended online and in-person interactions between young people and adults. In the digital age, […]


              AI Weekly: The bots are coming for you (not really)        

    Here’s a frightening scenario. What would happen if Facebook developed a chatbot, it started communicating in a language humans do not understand, Facebook pulled the plug, and then everyone who has a passing grasp of artificial intelligence suddenly went ballistic and thought this meant the end of the world? That’s essentially what happened when Fast […]


              How bots will change the way we shop        

    If you’ve used the internet or interacted with Alexa lately, you’ve come in contact with some form of artificial intelligence (AI). And if you’ve chatted with Pizza Hut via Facebook Messenger, you’re interacting with a bot. While it may seem strange, chatbots and AI assistants are integrating into our personal lives faster than we might […]


              Intelligent assistants vs. chatbots: Which is best for your biz? (VB Live)        

    Looking to implement an intelligent assistant or chatbot? Don’t miss our latest VB Live event, where we tap a panel of developers with long-term, hands-on experience in selecting the right digital engagement solution, planning a strategy, and seeing results. Register now! Register for free right here. The future is here; it’s just not evenly distributed […]


              Chatbots on Facebook Messenger linked to increased sales        

    “People prefer to use Messenger to interact with companies,” Facebook VP of messaging products David Marcus said during his keynote at this year’s F8 conference. With over 65 million businesses active on Facebook, this shouldn’t come as a surprise. An estimated 80 percent of these companies use messaging to reach Facebook Messenger’s 1.2 billion monthly […]


              Facebook’s botched Messenger rollout isn’t hurting chatbots        

    Last year, Facebook triggered a wave of hype surrounding chatbots and conversational interfaces in the wake of its rollout of 100,000 bots on Messenger. Sadly, they seemed to have bit off more than they could chew; the campaign was largely a disaster, with the AI behind Facebook’s chat platform failing to fulfill 70 percent of […]


              Here’s proof that workers want to relinquish their menial jobs to chatbots        

    If you’re in customer service and support, you’ve no doubt been told that chatbots and the AI avalanche will be taking away all customer service jobs in short order. Several analysts predict near total replacement of live agents with chatbots. Gartner, for example, predicts the use of virtual customer assistants (or chatbots) will jump by 1,000 percent […]


              Chatbots bring new income stream to ecommerce        

    Growing revenue is a constant battle for ecommerce websites. This can involve fine-tuning processes by optimizing funnels, checkout pages, or calls to action. It also means being open to new technologies and opportunities. Recent research on consumer attitudes shows the income-growing opportunity chatbots can represent for ecommerce store owners. Below, I’ll dive into the study and […]


              Why Elon Musk is wrong about Mark Zuckerberg — and vice versa        

    Artificial intelligence is easily the buzzword of the year — and perhaps the decade. What started as simple text chatbots last year has evolved quickly to become a machine learning algorithm that knows when you leave the house and turns down the temperature, a truck that adjusts itself for the highway to get better gas […]


              The DoNotPay Dilemma: Can Chatbots Provide Access to Justice Without a Lawyer?        
    none
              Chatbot China Berontak, Tak Suka Partai Komunis        
    Dua chatbot itu akhirnya dimatikan.
              Conversation is key to chatbot engagement        

    Do bot metrics change over time? One question that still comes up after 2.4 billion messages at Dashbot is around buttons versus free-form communication, especially as platforms add more app-like functionality. We first wrote about this after processing 70 million messages. Let’s take a look at the latest insights. A guy walks into a bar… and […]


              Imperson launches its ‘WordPress for bots’ so you can create your own        

    Imperson has announced today its new bot creation and delivery platform, which allows anyone to create a chatbot and launch it on every messaging platform. Think of it as “WordPress for bots,” if you will. The company — which is behind popular chatbots such as Judy Hopps (from “Zootopia”), Miss Piggy (from “The Muppets”), and Doc […]


              What 300 million users taught Kik about chatbots        

    Traditional chat apps gather metrics around message volume or time spent in app. But as bots begin to enter the chat space in a much bigger way, allowing users to carry out commerce, play games, and meet personalities, Kik thinks it’s time to rethink the metrics used to prove the success of a bot or […]


              Adidas NMD R1 sets will go to select a few        
    And adidas big tongue high tops for sale Crazy Forceful Low. Adidas own introduced that Springblade. this time around in your deeper shade of maize with white Color text. As a final point. Subscribe for you to Highsnobiety's sneaker chatbot about Facebook that will receive lightning quick tweets on generate dates. But it's not even close a race day shoe for marathoners along with tri geeks, but most people ll retain you updated these on Trainer News. will likewise rerelease a bundle of meshbased colorways too, The higher comes constructed from Primeknit making the footwear lightweight along with breathable, A entire of NINETEEN different Adidas NMD R1 sets will go to select a few stripes retailers plus the upcoming.
    adidas soccer cleats on sale Adidas NMD XR1 previewed previously today. Today we require a close have a look at all a few pairs set to drop next month, A charcoal camouflage pair is usually rumored to be able to release from the near long run. Additional White on the Boost plus lace wire dog crate complete the particular clean look from the shoe, Considering that brand once snatched Kanye Western from Nike within 2014, The mastermind Japan's forthcoming collaboration by using Adidas Originals is releasing today plus the new start is lauded as one of the better colorways on the Adidas NMD XR1 up to now, the personal training Adidas NMD People colorways will be in kelly green. info along with release information, deep maize.
    These days, January adidas climacool outdoor wading shoes 14th with regard to $180 USD? Check out more detailed shots with the Adidas NMD OG underneath and stay in tuned to get more detailed updates concerning the latest and also greatest releases these on Sneaker News, Which is smart as they seem perfect for hitting this streets through the night, The Easy Blue pair is likely to be the nearly all traditional belonging to the batch. In accordance with sneaker marketplace StockX. The Adidas NMD OG dominated the release schedule past weekend with a crowd of shops world wide restocking the debut colorway connected with everyone's favourite Primeknit as well as Boost way of life creation. It may take similar extra attempt or cash to getting a pair.

    .
              Chatbot FAQ: Was Unternehmen über Chatbots wissen müssen        
    Lesen Sie, wie Chatbots funktionieren und welche Möglichkeiten diese im Unternehmenseinsatz bieten.
              The Turing Test Gimmick        
    The Verge reports that a chatbot called Eugene Goostman has passed the …
              How Chatbots Are Helping Sales Reps Be More Human        
    none
              McDonald’s utiliza chatbot para distribuir Fanta Guaraná de graça        

    Promoção em parceria com a Coca-Cola Brasil divulga novo refrigerante na rede de fast food

    > LEIA MAIS: McDonald’s utiliza chatbot para distribuir Fanta Guaraná de graça


              Real Talk: The Do's And Don'ts Of Building A Chatbot        
    We made the mistakes so you don't have to. 😉
              What's the Goal of AI? Tai.ai and Bad Decisions        
    The implicit, if not explicit goal of artificial intelligence (AI) has been to create "human-like" intelligence.  The recent debacle of Tay.ai is the first time something has seemed to become strangely close.

    That is to say, the aim of the project was to simulate someone in their late teens.  People in their late teens tend to make poor decisions, especially to go along with what people around them believe.  (I'm no exception and had quite a long "hippie phase" including being Vegan for 3 years.)
    Vegan super-powers from Scott Pilgrim vs. the World


    Do we really want to make an AI like us, with all of our foibles and cognitive distortions or are we going to pull the plug as soon as one adopts unconventional, minority or fringe views?  Will we use the phrase "it's just going through a phase"?

    People do dumb stuff and usually learn from it and course correct... sometimes they make the same mistakes for decades on end until the very end.

    I would think that if we are doing it right we will have a crop of AIs just as diverse as ourselves, including the bad stuff.

    PS

    I was in the hospital so missed a week or two of Tuesday posts.  It happens.
              Android Police Podcast Ep.188 - A Chatbot Holiday Special, With Guest Nexus Q        
    On this week's show: Google's upcoming "chatbot" messenger service, our Fossil Q Founder review, holiday gift suggestions, and more!
              Beyond the Bots        

    Digital Trends for 2017 - what is happening with chatbots?
              Interviews with Planners – Ruby Benoit        

    Ruby Benoit is a veteran marketing, event planning, and project management professional with 17 years of experience with global brands in tourism, hospitality, sports, entertainment, fashion, and consumer packaged goods.  She has developed groundbreaking campaigns consisting of advertising, digital marketing, promotions, public relations, social media, and special events.  She is particularly effective with translating conceptual business initiatives and ideas into actionable growth strategies, events, and business campaigns that increase awareness and generate revenue.  She has the proven ability to solve complex problems and is particularly skilled in developing the right project management process and leading its implementation.

    Prior to launching Divergent Group, Ruby planned events ranging from 15 to over 10,000 attendees. Ruby has managed a variety of events, including conferences, fundraisers, sporting events, annual dinners, fashion shows, and the Olympic and Paralympic Games. In addition, she developed, managed, and implemented events and marketing campaigns for big name brands, including Newport Beach & Co., LA Tourism & Convention Board, the International Paralympic Committee, the US Olympic Committee, Gage Marketing Group, Lawry’s Foods (Unilever), 20th Century Fox, and Saatchi & Saatchi.  Her global experience includes Australia, China, France, Greece, Italy, Middle East, South Africa, Switzerland, and United Kingdom.

    Ruby is also a member of various organizations, including the American Marketing Association, California Craft Brewers Association, Conscious Capitalism San Diego, Marketing Executives Networking Group, and San Diego Brewers Guild.  

    What is the best advice you have ever received as a planner?
    The best advice I have received is to remain calm and always have a smile on your face even when things don’t go as planned. If you show your emotions and freak out, it will have a negative effect on the event, your client, and their guests. I am such a perfectionist and very detail-oriented so when something goes wrong it stresses me out. I love to plan, plan, plan, but I have learned through the years to just smile and go with the flow since guests don’t know when something goes wrong. When there are issues, I look at the situation, all of my options and then determine which path has the least negative effect on my client and their guests. Whatever you do, always keep your customer and their guests in mind, smile, work with your team, and everything will work out.

    What is the most unique location you have ever planned an event at? What was great, what was challenging?
    Athens, Greece. I supported the planning of the USA Hospitality House where over 600 US athletes, sponsors, and VIPs converged over 17 days during the 2004 Olympic Games. It was an incredible yet challenging experience. We completely transformed two locations - a private building and part of the OAKA stadium. One of our key objectives was to ensure that the sponsors of the US Olympic Committee were featured throughout both locations. Each level of the USA Hospitality House was converted into sponsor specific spaces, such as the Dell room, Coca-Cola room, Swatch room, and merchandise store. The USA Hospitality House was primarily used to host numerous parties after US wins and act as a “green room”, whereas the hospitality area at the OAKA Stadium was to entertain sponsors, stakeholders, and VIPs.

    The challenging part was working with so many different entities, including the International Olympic Committee, Athens Olympic Games Organizing Committee, sponsors, the local government, volunteers, and even the Secret Service. Not only was it challenging to work with so many different entities, but it was also challenging working in a different country and multiple cultures. Luckily, my MBA in International Management gave me the skills to work with different and completely opposite cultures and working styles.

    What advice would you give to someone entering the business today?
    I know it sounds very cliché, but it’s true…network, network, network. I know it might seem scary asking a stranger for an informational interview or even going to a networking event, but it’s very important for your career. The event and business world is all based on relationships so the more people you know, the better. Don’t approach networking as how many cards you can get at an event, or how many people you can connect with on LinkedIn, but focus on quality connections and really get to know the other person. If you just met someone, don’t expect them to help you right away by connecting you with their contacts. To me, networking is like dating, you need to build a relationship with the other person and think of how can you help them.

    What do you see as the most challenging aspect of being a planner, and how do you overcome that challenge?The most challenging aspect of being a planner is being able to juggle all of the details and personalities. Every event has tons of details, and then there are details within the details. Luckily, I love the details! It is very important to know how each task relates to the other tasks and their dependencies, as well as the bigger picture. When I work on an event, I use project management tools to keep me on track. I am connected at the hip with Asana and Instagantt. I especially love how I can see how a change affects the other tasks and then I can plan accordingly.

    When planning an event, there are so many different people to work with – your client and their guests, vendors, staff, and volunteers. Each one has their own personality so it is key that you handpick your team of vendors, staff, and volunteers wisely. You can’t do everything so you need to ensure that your team works well with each other, and that they get along since you are delegating a lot of work to them. If situations do arise, you need to address them right away and find a solution for those involved. 

    Plan better, increase event revenue and grow your attendee engagement with Eventinterface. Request your demo.

    How do you think our industry will evolve in the next five years?
    As always, technology is at the forefront of the industry and it will continue to be in years to come. In order to be successful, it’s integral that we are up-to-date with technology and are always thinking “what’s next?” and how can we incorporate it into our events seamlessly. Now that people are on their smart phones more than desktops, we always need to keep mobile technology on the top of our mind. Currently, there are different apps that interweave technology throughout events so guests can interact/network with each other, do real-time surveys that are broadcast during the event, and interact with guests through social media and technology. In the next five years, technology will play a major role in event experience. Here are some elements that I think will have a huge impact in the coming years.

    • Chatbots makes it easier to communicate with customers, drive engagement and help with retention through artificial intelligence.
    • Content marketing is huge right now so technology will be needed to blend offline and online experiences beyond the event itself.
    • Projection Mapping is a technique that transforms flat surfaces on buildings and walls into spectacular décor.
    • Virtual Reality brings a “wow” factor into events. It provides a way to creatively activate and engage with customers through multi-sensory experiences.

    What makes you successful as a planner?
    I have a very diverse background and have worked on the agency and brand side, for profit and not-for-profit, internationally and domestically, as well as intimate to large scale events, like the Olympics and Paralympics. Besides my background, there are several skills that have contributed to my success: resourcefulness, people skills, problem solver, and the ability to see the big picture as well as being detail-oriented.

    In your opinion, what is the best and worst industry trend of the year?
    One of the best and worst industry trends is virtual conferences. Virtual conferences are great because it allows more people to participate if they physically can’t travel and it reduces travel costs. However, it takes away the personal connection we create with in-person networking.

    What is the best industry book that has helped you as a planner?
    There isn't one specific book that has helped me. However, I've learned a lot through actively participating in different industry organizations and reading their emails, blogs, and other communication.

    CONNECT WITH RUBY:
    Ruby Benoit
    Chief Idea Igniter and Founder, Divergent Group
    Phone Number: (949) 616-0946
    LinkedIn
    Affiliations or Memberships:
    American Marketing Association, California Craft Brewers Association, Conscious Capitalism San Diego, Marketing Executives Networking Group, and San Diego Brewers Guild

    Please do us a little favor and share this post with others, for there’s a good chance that it will help them as they go about planning meetings and events.

    RELATED POSTS
    Interviews with Planners – Justin Hersh
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              Gedankenspiel „Gastgeber-Chatbot“ – mit ungeahnten Folgen        
    Immer die gleiche Leier: Online Wissen vermitteln ist zwar nett, aber wird in Sachen Lernerfolg nie mit persönlichen Treffen und Coachings mithalten können. Bisher muss ich da wirklich in den allermeisten Fällen zustimmen. Ich wäre aber nicht ich, wenn ich es einfach darauf beruhen lassen würde. Dementsprechend ein kleines Gedankenspiel zum Thema New Learning.   […]
              Roboter schreiben Nachrichten im US-Wahlkampf.        
    RoboterjournalismusRoboterjournalismus: Im US-Wahlkampf erhalten Mediennutzer verstärkt Texte, die von Algorithmen und Robotern erstellt werden. Zu den Medien, die etwa per Chatbot maßgeschneiderte News liefern, zählen die "New York Times", die "Washington Post" sowie die Sender CNN und NBC. Leser finden die von Menschen geschriebenen Texte stilistisch besser, die Roboter punkten mit Glaubwürdigkeit. faz.net

    RoboterjournalismusRoboterjournalismus: Im US-Wahlkampf erhalten Mediennutzer verstärkt Texte, die von Algorithmen und Robotern erstellt werden. Zu den Medien, die etwa per Chatbot maßgeschneiderte News liefern, zählen die "New York Times", die "Washington Post" sowie die Sender CNN und NBC. Leser finden die von Menschen geschriebenen Texte stilistisch besser, die Roboter punkten mit Glaubwürdigkeit.
    faz.net


              Commentaires sur Avant d’embaucher un chatbot en RH par Avant d'embaucher un chatbot en RH - Agence Morse        
    […] Lire la suite sur Futurs talents […]
               GittiGidiyor'dan pazaryerinde bir ilk: Hediye tavsiyesinde bulunan chatbot        
    GittiGidiyor
              Video: The Rise of ChatBots in Enterprise Mobile Application Development        

    Conversations between human beings and computers have been a mainstay of science fictions movies for decades. Remember the HAL 9000 in director Stanley Kubrick's groundbreaking 1968 epic "2001 - A Space Odyssey?" Remember Joshua, the computer in the 1983 hit "War Games?" Remember Kirk and Spock issuing verbal commands to the Starship Enterprise's onboard computer? In the second decade of the 21st century, conversational interfaces have transcended fiction to become a reality, and the next big thing in consumer and enterprise mobile application development. Paired with artificial intelligence, chatbots help to simplify mobile communication between users and services. As in human conversation, well-chosen wordings allow users to book a table in a restaurant, arrange a taxi to the airport, buy an airline ticket, and more. This on-demand session video from the Oracle Code Online event in June 2017 explores a developer perspective on chatbots.

    Additional Resources
              The Oracle Database Cloud Development Story        

    Are you a software developer looking for the best cloud database for application development?

    Oracle Database Exadata Express Cloud Service is the ideal entry-level service for running Oracle Database in Oracle Cloud.

    Here's why:

    • It delivers an affordable and fully managed Oracle Database 12c Release 2 experience, with enterprise options, running on Oracle Exadata.
    • It is a great fit for small and medium-sized production databases as well as development, testing and evaluation environments.
    • For developers, Exadata Express provides easy access to advanced development features of Oracle Database, enabling you to rapidly create modern data-driven applications.

     

    Exadata Express in Oracle Cloud delivers an easy, affordable and feature-rich enterprise database experience. You do not need to worry about network or storage configuration, patching, upgrade or other DBA tasks. These activities are managed for you by Oracle, so no customer DBA is required. Exadata Express gives you the same compatible Oracle Database Enterprise Edition that runs on-premises and in other Oracle Database Cloud Services–provisioned for you within minutes. It uses one of Oracle’s most advanced configurations, combining shared Oracle Exadata engineered systems for highest performance and availability with Oracle Multitenant Pluggable Database (PDB) containerization technology for security isolation, resource management and lowest cost. With support for up to 50 GB of database storage, Exadata Express is an ideal entry-level service for small and medium sized data bases used in production, development, testing and evaluation environments.

     

    OVERVIEW OF EXADATA EXPRESS

     

    Service Subscription Price Storage Maximum Data Transfer Maximum X20 $175 / month 20 GB 120 GB / month X50 $750 / month 50 GB 300 GB / month X50IM* $950 / month 50 GB 300 GB / month

    *Provides up to 5 GB additional RAM for use with Oracle Database In-Memory Column Store

    Oracle Database 12c Release 2 gives software developers get a unifying database that includes support for new data management and access models. Native support for RESTful and a schema-less documents & collections interfaces in addition to supporting standard SQL. The database can natively store JSON, XML and relational data all in a single environment.

    In addition, developers get client drivers for all their favorite application environments and programming languages including Java, .NET, Python, Node.js, PHP, C/C++, Ruby and more. Developers can take advantage of free integrated development environments from Oracle for creating and debugging their applications including SQL Developer, Data Modeler and JDeveloper.

    With Oracle Database 12c Release 2, developers also get pre-configured Oracle Application Express 5 (APEX). This is a simple declarative environment for rapid development of data-driven web apps using only your web browser. No additional tools are required. APEX version 5 includes all new packaged controls, updated themes, a gallery of productivity applications, and other enhancements that make apps look beautiful across desktop and mobile browsers.

     

     

    Oracle Database Exadata Express Cloud Service

    Apex 5 Application Builder in Exadata Express

     

    But more than advanced features and native support for popular languages, Oracle has brought out several new PaaS offerings Just for Developers:

    Oracle’s Application Container Cloud Service includes support for PHP, along with Node.js and Java.

    Applications composed from multiple PaaS services can be created, scaled and managed as a single unit with the new Oracle Cloud Stack Manager.

    Java EE apps are migrated to the Cloud automatically using Oracle AppToCloud while adding capabilities like active standby and increasing cluster size as the application is moved to the Cloud.

    Anyone can author complete applications from a browser without coding skills, using the Oracle Application Builder Cloud Service low-code development platform to extend services with pre-populated Oracle Software-as-a-Service APIs or custom services from a common REST API catalog.

    Oracle Developer Cloud Service also makes collaboration between developers easier by integrating with popular collaboration tools like Slack, Hipchat, Hashicorp's Packer and Terraform and including agile management features for managing sprints, tasks and backlogs.

    Oracle Mobile Cloud Service now provides actionable insights and engagement across multi-channels and micro locations to improve the customer experience. It also provides an intelligent and contextual Chatbots experience across multiple messaging channels like Facebook Messenger, Slack, Kik and others.

    Ready to code? Get a Free Trial of the Oracle Database Exadata Express Cloud Service.

    Ciao for now,

    LKR


              Chatbot Challenges: Talking Tech About Talking Tech        
    Despite the dizzying evolution of computer technology over the last three decades, the input/output process remains deeply dependent on fingers. True, I can now use my iPhone or Amazon Echo to request weather reports and ask bizarre questions of Turing Test candidates. However, most of my time spent interacting with a computer still requires my not-always-cooperative fingers. But those days are numbered, thanks to chatbots.

    As with other innovations, there’s reality amid the chatbot hype, as I discovered when I posted several chatbot-related questions in a community forum. Among the responses were two accounts that prove that when it comes to chatbots, it’s not just talk.

    Oracle ACE Leon Smiers, Center of Excellence lead for Oracle PaaS at Capgemini, based in the Netherlands, reports that his organization has already implemented chatbot projects using a variety of technologies, and has recently started a new chatbot project for the Dutch police that will make use of Oracle Technology.

    According to Smiers, designing a chatbot project differs considerably from designing a standard user interface for a Web application or a mobile application. “The focus is on conversation rather than on transaction,” Smiers says.  “Chatbots are another channel in the interaction with customer, with the primary focus on delivering a fast track for providing answers or enabling transactions.” 

    Smiers cites two unique challenges in developing chatbots. The first, and this should come as no surprise, is the complexity of language. As he explains, there are a variety of ways one might report that one’s bicycle was stolen. “My tandem is gone,” Smiers suggests, or “somebody nicked my iron horse,” amid nearly infinite variations. “With bots you need to able to understand the intent of a sentence, in singularity and in context of a conversation,” Smiers explains.

    The other challenge? The sky-high expectations of end users and companies. “Chatbots are expected to deliver neuro-linguistic programming [NLP] and artificial intelligence in every possible way,” Smiers explains. “So we need to tone down the user expectations.” To that end Smiers’ team has created a Chatbot Maturity model, “to provide a roadmap and make it clear what can be expected in the first and consequent releases.”

    Smiers and his team rely on a variety of tools and technologies to support chatbot development, including Apache Open NLP and Stanford NLP. “These can be implicitly available in tooling, such as the Intelligent Bot Services, but also explicitly used when calls via API’s are made to enrich the conversation,” Smiers explains. “These API calls need to be fed with the proper information from the question sentence in order to provide the right answer.”

    Oracle ACE John Sim, a consultant with Fishbowl Solutions in the UK, reports that the Fishbowl team has built Atlas, a chatbot that was initially developed as an entry in Fishbowl’s annual hackathon event. “We are now using it internally to help to build up its intelligence through machine learning and natural language understanding capabilities,” Sim says. “Once we feel Atlas has built up enough wisdom, we plan to release him as an offering with integrations for SaaS and PaaS applications.”

    The Fishbowl team did its homework before kicking off the Atlas project. “Our goal from the beginning was to make an intelligent bot and not simply an if-then-else bot,” Sim says. “We also wanted to write a user flow and look at common tasks where we could abstract the user interface and do the interactions through user intents. Our intent here was to enhance the user experience to quickly access content and get tasks completed effectively without going through a click form filling process stream.”

    The Atlas project was fun, according to Sim, but it wasn’t without challenges. “The biggest ones were multilingual support and connecting user credentials so that Atlas only retrieves relevant info for the user,” Sim says. 

    And the work continues. “We are now looking at areas where we can enhance Atlas, such as an administrative interface to allow users to review mapped credentials and his offerings and capabilities from outside of the chat window on Facebook and Slack,” Sim says. “We are excited about the future for Atlas and the use cases for bots overall. Who knows, bots could replace mobile apps. We shall see.”

    How do chatbots figure in your future? Are you doing your homework to prepare to meet the challenges of this revolution in human-computer interaction? Post your comments below.

    Additional Resources
              Comment on Fishbowl Innovation: ATLAS – Intelligent Chatbot and Virtual Assistant for Oracle Applications by Fishbowl Solutions - A Sneak Peek at Oracle's Chatbot Cloud Service and 5 Key Factors Necessary for Bot ROI        
    […] A chatbot is a program that simulates a conversation partner over a messaging app. It can integrate with any kind of messaging client, such as Facebook, WeChat, WhatsApp, Slack, Skype, or you could even build your own client. If you’ve been following our blog, you may have already seen the chatbot (Atlas) we built as part of our annual hackathon. […]
              IBMVoice: Chatbots And The Cloud Are Ushering In The Next Era Of Cognitive Business        
    Over the past few years, cognitive computing tools, such as Watson APIs, have developed deep speech and language capabilities.
              6 Tech Tips From the Pinnacle Summit        
    Author(s): 
    Image: 
    Technology graphic
    Article Summary: 

    The future is mobile-based and personalized

    Enhanced Slideshow: 
    Technology graphic

    ARLINGTON, Texas -- The Pinnacle Corp. recently hosted its Summit 2017 conference to provide attendees with industry technology updates and new information on its products.

    Aside from updates about Arlington, Texas-based Pinnacle, much of the conference focused on the speakers’ visions of the future and the change convenience-store operators should expect across a wide range of industry topics, from loyalty to mobile ordering and the very idea of convenience.

    Here are six insights from the Pinnacle Summit …

    1. Get rolling with EMV

    EMV

    In a presentation on preventing fraud, Pinnacle developer Troy Jones warned attendees that retailers who delay EMV (Europay, Mastercard and Visa) chip-technology integration at the pump could be inviting bad actors to take advantage of them with fraudulent credit cards or banking information.

    “As EMV is rolled out, fraudsters will target stores who have not made the switch to EMV,” Jones said. The message is clear: The longer c-store operators put off switching their pumps to EMV, the bigger the target on their backs.

    2. Out-innovated

    goPuff

    Gray Taylor, executive director of technology standards group Conexxus, started a presentation on the second day of the conference by defining convenience as the state of being able to proceed with something with little effort or difficulty. He said retailers should focus on making this definition a reality instead of focusing on the products.

    Taylor also underscored keeping an eye on industry disruptors such as Amazon, goPuff and Couch Potato, delivery services that are elbowing their way into the retail convenience game. “Everyone in the convenience space is out-innovating us,” Taylor said, urging attendees to “constantly redefine convenience” to catch up.

    3. Plastic-free world

    Pinnacle’s Affiniti

    The president of Triple S Oil and Lynch Oil, Nick Lynch, revealed a company goal when he took attendees through his rollout of Pinnacle’s Affiniti mobile loyalty app. “We’d like to try to get rid of [loyalty] cards one day,” he said.

    Specifically, he’s looking at a future in which physical loyalty cards are no longer in use and their data is stored on smartphones or wearables instead. The Affiniti loyalty app is capable of storing a card on the app so customers don’t have to physically carry it, allowing Lynch to test what cardless loyalty would look like. With more physical cards being loaded onto phones through apps such as ApplePay and Venmo, Lynch’s vision of the future is already becoming a reality.

    4. Siri, order a breakfast burrito

    Siri

    Peter Steele, vice president of research for Pinnacle Corp., took attendees through some of the technology company's programs in development, including mobile ordering capabilities on Pinnacle’s Affiniti mobile platform. He said future mobile ordering updates on the app could interact with consumers via three broad options:

    • A traditional “button” user interface
    • Chatbot ordering through apps such as Facebook Messenger
    • Voice ordering similar to speaking with Apple’s Siri

    Steele said Pinnacle has the technology to develop whichever system retailers prefer.

    5. Where every chatbot knows your name

    Mobile loyalty

    Mike Kemp, professional services consultant, and Denis Witanra, lead developer, both of Pinnacle Corp., shared their vision for the future of loyalty programs in a presentation outlining changes to the company’s consumer-facing mobile app. They envision future mobile-based loyalty programs that closely track spending and behavioral patterns of customers to offer them more personalized deals and discounts.

    “The future of loyalty is web-based with shopper-intelligence-based promotions and advanced notifications on birthdays and other events,” said Witanra. They also discussed future updates such as promotions that pop up after customers have not visited the store in a given number of days or those that suggest common item purchases.

    6. Leadership + management = accountability

    Good management

    Guest speaker Jeff Whittle, founder of Whittle & Partners, took a break from technology to talk about smart management practices.

    Whittle spoke about the Entrepreneurial Operating System, a way of doing business designed to build a truly accountable team. The management system looks at accountability not as something that managers do to their employees or hold over them but as something leaders facilitate in the company’s culture by providing a clear goal and vision for the company. Whittle suggested attendees read the book “Traction” by Gino Wickman for more information on the model.

    The Pinnacle Summit 2017 was held May 31-June 1 in Arlington, Texas.


              Comment on Plugin spotlight: Generate Python or Ruby with MPS-plaintextgen by Alessandro Depase        
    Very interesting, I also tried it for a while. But not so user friendly, at least to me (or maybe because I lack of experience with MPS?): after many tries I just cannot format the output as I need (for example, the loop always outputs in a single line: how can I add a newline at the end of each iteration?) However, the idea behind the plugin seems to me very useful: I'm trying to write an editor for chatbot rules and the language is not Java... Thank you for your answer
              Boring Chat Bots are Coming – #ChatBots #Future        

    A chat bot here , a chat bot there . Even God does not know what chatbots cannot do. Your next wave of Chat bots would be boring and possibly annoying like an IVRS

    The post Boring Chat Bots are Coming – #ChatBots #Future appeared first on Mr Unreasonable.


              Integration of chatbot using Ruby on Rails        
    Integration of chatbot using Ruby on Rails
              Wanna Increase Conversions? Try 'Chatting' up a Computer.        
    Some 1.4 billion people a year interact with chatbots. Why aren't your customers among them?

              Comment on Customer Experience Statistics by Why Chatbots Are the Next Frontier of Customer Communication - Pypestream        
    […] well versed in the power of negative customer service experiences. They know consumers are fickle (65% of consumers would happily cut ties with a brand over a single poor experience). They know that […]
              #DataSmart News: Public Health        

    June 16, 2017: Using Data to Fight the Opioid Epidemic

    Prescription drug monitoring programs—government-run databases designed to track how doctors and pharmacists in a state prescribe and dispense controlled substances—have immense potential to mitigate the opioid crisis, according to an article by GovTech. These programs can help identify who is prescribing and being prescribed controlled substances in order to direct interventions to combat abuse. The article calls on state lawmakers who have dragged their feet in implementing effective monitoring to look at successes in states like New York and Florida as evidence of the critical need for these programs.

    June 12, 2017: GIS platform puts Miami-Dade ‘leaps and bounds ahead’ for mosquito season, officials say

    StateScoop reported that, thanks to GIS technology, county officials in Miami-Dade County feel much more prepared for the quickly approaching mosquito season. Following last summer's Zika outbreak, the county worked with GIS provider Esri to develop 20 new apps, including maps that identify mosquito trap locations, mobile field applications that allow workers to input data immediately via iPad, and desktop components that receive and log this information in real time. These applications allow residents to report Zika outbreaks and standing water and provides municipal employees with tools to better target interventions.

    May 9, 2017: Visualizing Baltimore’s Food Deserts

    The Johns Hopkins Center for a Liveable Future has created a Maryland Food System Map, which displays disparities in food access across the state. The map plots production, distribution, processing, and consumption within Maryland’s food system across 175 data layers based principally on data from federal, state, and local databases. Officials hope that they can use the map to identify food deserts and target interventions. Read more at Route Fifty.

    May 2, 2017: Mapping neighborhood-level health indicators

    GCN profiled an interactive mapping application released by the Centers for Disease Control and Prevention (CDC) that displays neighborhood-level data on chronic diseases for the 500 largest cities in the country. The tool is part of the CDC’s 500 Cities initiative, which provides small-area estimates of 27 chronic disease measures. The CDC hopes that public health professionals, policymakers, and researchers will use the application to address and target interventions to areas where they are most needed.  

    April 19, 2017: How Cities Are Using the Internet of Things to Map Air Quality

    Chris Bousquet wrote an article for Data-Smart outlining and evaluating the various models cities have employed to track air quality using the Internet of Things (IoT). Air quality initiatives fall into three categories: initiatives that add sensors to existing infrastructure, those that leverage mobile sensors, and others that analyze cell phone data. Each model has advantages and drawbacks, and a city’s choice of initiative should depend on its unique needs and capabilities.

    March 9, 2017: The virtual assistant for the VA

    GCN highlighted a voice-activated virtual assistant created by electronic health records firm Epic in partnership with tech company Nuance that intends to improve service at the Department of Veterans Affairs. The virtual assistant, called Florence, guides patients through picking their doctor and shows them openings in that doctor’s schedule, promising to reduce the administrative load of physicians and make scheduling easier for users with impaired vision or poor motor skills.

    February 23, 2017: New Yelp-style app for veterans calls out poor care

    StateScoop discussed a tool called VAReview.net that allows veterans to submit Yelp-style reviews of Veterans Affairs (VA) facilities. The free app allows users to search for medical facilities via an interactive map and submit rankings on a scale of 1 to 5. The goal is to give veterans a voice to express concerns with facilities, guide veterans to quality medical centers, and put pressure on the VA to institute higher quality standards.

    February 15, 2017: 40 Largest U.S. Cities Get a Health Rating

    Next City described findings from a two-year analysis by the de Beaumont Foundation’s CityHealth project that evaluated the 40 largest U.S. cities based on their efforts to improve the health and well-being of citizens. The study examined how cities fare across nine policies including paid sick days, universal and high-quality pre-K, affordable housing and access to health food, and then assigned bronze, silver, or gold medals or no medal at all. The five gold medal recipients were New York, Chicago, Los Angeles, Boston, and Washington, D.C.

    February 1, 2017: Moving Patient Data Is Messy, But Blockchain Is Here to Help

    Wired examined the potential to use blockchain—a tool that keeps secure data in a distributed, encrypted ledger—to move and protect patients’ medical data. Blockchain has immense security benefits, because instead of having one administrator as a gatekeeper to the data, the ledger is spread across a network of databases visible to those with access. What this means is that hacking one block in the chain is impossible without hacking every block. Adopting blockchain would allow healthcare providers to store a patient’s every healthcare interaction in a ledger that every provider can see, making data sharing seamless. 

    January 16, 2017: How Big Data Helps To Tackle The No 1 Cause Of Accidental Death In the U.S.

    Forbes detailed a partnership between the Blue Cross Blue Shield of Tennessee (BCBST) and data analytics company Fuzzy Logix to tackle the opioid crisis using data. The project leveraged years’ worth of pharmacy and claims data to identify people at risk of developing an opioid abuse problem. Analysts determined that clusters of behaviors like frequent use of different prescribers and dispensaries could predict later abuse or misuse issues with up to 85% accuracy.

    January 12, 2017: How U.S. Cities Can Target Zika Risk

    On Data-Smart, Jonathon Jay analyzed the relationship between abandoned properties and Zika outbreaks in Miami. His analysis concluded that Zika took hold in neighborhoods already experiencing high rates of residential vacancy and concentrated poverty. Abandoned properties provide ideal breeding conditions for Aedes aegypti, the mosquitos that carry the Zika virus, and poverty often precludes residents from taking precautionary measures against mosquitos. Breaking down data siloes will be particularly important in Zika prevention, as while mosquito control activities generally fall under county jurisdiction, city agencies have information that’s central to addressing vacant properties.

    January 4, 2017: Babylon Health partners with UK’s NHS to replace telephone helpline with AI-powered chatbot

    TechCrunch showcased Babylon Health’s AI-powered chatbot, which will begin a six month trial with the National Health Service (NHS) as an alternative to the NHS’s 111 hotline. Instead of speaking to an NHS operator, patients will chat with Babylon’s chatbot, which will allow them to check symptoms instantly and obtain appropriate advice. The hope is that this software will provide more accurate advice and avoid unnecessary doctor appointments.

    November 15, 2016: Google Street View Car Sniffs Out Hidden Danger in Pittsburgh

    Route Fifty reported on the use of a Google Street View car to detect potentially dangerous methane leaks in Pittsburgh. The Environmental Defense Fund (EDF) deployed a Street View vehicle equipped with a methane-detection sensor, which over the past year has identified 200 indications of leaks from Peoples Natural Gas pipes in six Pittsburgh neighborhoods. EDF launched similar studies in Boston, Chicago, Dallas, and Jacksonville, discovering a greater concentration of leaks in Boston (one per mile driven) than in Pittsburgh (one per two miles driven). Based on this data, Pittsburgh plans to replace all its bare metal pipes in the next five to seven years, a project that cities like Boston may soon consider.

    November 14, 2016: How Digital Campaigns Can Help Reduce Infant Mortality Rates

    GovDelivery outlined potential ways digital campaigns could reduce infant mortality. The infant mortality rate in the U.S. is nearly double that of other developing countries, and GovDelivery explains that the principal cause is a lack of information on the part of citizens. By gathering and disseminating data on preconception, prenatal, and postnatal health of mothers and babies, governments can achieve better outcomes. However, successful campaigns must involve clear goals, expanded reach achieved through digital channels and targeted messaging, and input from citizens.

    September 13, 2016: Rhode Island's Biggest-Ever IT Project Goes Live

    Four years in the making, Rhode Island’s biggest-ever tech project, the “Unified Health Infrastructure Project” launched this week. The project will replace aging computer systems and will host a wide range of public assistance programs, including health care, childcare assistance, cash assistance, and the state’s food stamp program. Read about the project and its launch on GovTech.

    September 8, 2016: How big data and algorithms are slashing the cost of fixing Flint’s water crisis

    The Conversation highlighted a University of Michigan team that aggregated big data on Flint’s water issues and then employed algorithmic and statistical tools to analyze risks, challenges and the most cost-effective road to recovery for the city. Some takeaways from the project: 1) lead contamination is highly scattered and varies widely across Flint, but it is predictable; 2) statistical methods can help fill the data gap around Flint’s lead pipe records; 3) home service lines are not necessarily the largest driver of lead in Flint’s water. The researchers hope that a data-driven understanding of the crisis in Flint can help cut recovery costs and aim efforts to tackle lead concerns in other regions.

    September 6, 2016: Study: Lyft partnership reduces costs, waiting times for chronically ill seniors

    pilot collaboration between the ride service Lyft and a West Coast managed care delivery system successfully demonstrated the ability of such a partnership to reduce costs and waiting times for senior citizens with chronic illnesses. The preliminary results were released in a study in the Journal of the American Medical Association and showed the potential of ride services like Lyft to reduce the costs of non-emergency medical transportation.

    August 24, 2016: Using Data Analytics and Mapping to Understand and Solve the Opiate Crisis

    In an article for Data-Smart, Eric Bosco explored how data analytics and mapping can be used to understand and solve the opiate crisis. The National Association of Counties released an interactive map this summer that shows the staggering amount of overdoses nationwide and tracks opiate providers and filled prescriptions. The map, created by Esri, allows users to hone in on a specific county and compare numbers against national averages.

    August 24, 2016: In Tackling Opioid Epidemic, Bold State Actions Needed for Data Analysis Efforts

    Route Fifty wrote about the importance of data analytics when fighting opioid abuse. The article argues that while Prescription Drug Monitoring Programs have worked to significantly reduce opioid prescriptions and increased the usage of data in surrounding issues, they have not gone far enough and further data is needed to fully understand the extent of the opioid epidemic. Better legislation and policies could encourage better use and sharing of data, granting states a more complete view of the problem and helping them develop targeted strategic policies to fight it.

    August 1, 2016: Leveraging Civic Data to Improve Public Health and Emergency Management

    On Data-Smart, Margarett Scott investigated how civic data can be leveraged to improve public health and emergency management. Several recent advances in technology have made it possible for cities to better manage their preparedness and response through improved public health and emergency medicine systems, critical examples of how data and analytics can be used to enhance city operations. By integrating these emerging technologies and data analytics into public health and emergency management, cities can better understand the challenges at hand, mobilize the appropriate authorities prior to emergencies, and significantly improve public information and emergency response time during crises.

    July 28, 2016: A new global hub for urban air-quality data

    Citiscope profiled OpenAQ, a new international air quality data hub. Built by two researchers who had success with a similar local tool in Mongolia, the data hub currently has air quality information from over 650 cities across the world to help cities, health organizations, and researchers better understand, visualize, and explore relevant data. The researchers hope the new hub will be particularly useful in the Global South, where poor air quality is a pressing problem but many cities have little available data to help guide their policies.

    July 27, 2016: Municipal Analytics, the Startup Way

    Sean Thornton described how Montgomery County, Maryland, adapted Chicago's food-inspection predictive algorithm, yielding great results. Montgomery County was able to identify 27 percent more violations, on average, and do so three days sooner than traditional methods. That increased efficiency was estimated to recapture an estimated $2 million for Montgomery County in its first year alone. These results are significant, showing that such algorithms are not only effective, but effective in highly varied settings.

    July 25, 2016: Check Out This Great Resource for County-Level Health Data

    Route Fifty covered CountyHealthRankings.org, a new county-specific portal containing nationwide data on a range of health-related topics. The site, funded by the Robert Wood Johnson Foundation and managed by the University of Wisconsin Population Health Institute, was built to allow policymakers, advocacy groups, and community stakeholders better understand the pressing health problems in their counties. Included datasets range from obesity rate to access to clinical care to child poverty.

    July 7, 2016: Mapping Changed This County's Approach to Behavioral Health

    Route Fifty surveyed San Bernadino County’s new GIS-based approach to behavioral health. The county began mapping consumers, clinic resources, and treatment data, which allowed officials to better understand why certain services were underutilized. County officials once believed it was because of the enduring stigma surrounding behavioral health care, but with the help of GIS data they realized it was at least partially because certain segments of the population had no easy access to care. The county was able to reallocate clinics and other key resources to improve countywide care, along with improving tracking of patients and connecting them to necessary care after hospitalizations.

    June 26, 2016: MIT Researchers Aim to Conduct Health Checkup on City in Its Sewers

    The Wall Street Journal reported on an MIT pilot project called Underworlds that is using robots to analyze sewage in Boston and Cambridge. The robots collect and test samples in sewers to identify infectious diseases, antibiotic-resistant bacteria, and drugs with the hope of enabling better monitoring of population health in cities.

    June 20, 2016: Taking Predictive Analytics to the Beach

    On Data-Smart, Sean Thornton wrote about Chicago’s new analytical model to enhance its beach water quality inspection process. The model aims to predict which beaches may need to closed based on likely E. Coli contamination, which will help protect the public by providing more timely advisories. The tool is the not the city’s first municipal predictive analytics project, but it is the first one built entirely by a team of volunteers from Chicago’s civic tech community. The work of these civic-minded “citizen data scientists” signals a maturation in the relationship between Chicago’s local government and its civic tech community.


              ãƒãƒ£ãƒƒãƒˆãƒœãƒƒãƒˆé–‹ç™ºã§æ„è­˜ã™ã‚‹ã¹ã 11 のこと        

    こんにちは。中山です。

    これからは チャットボット(Chatbot)の時代だ、と言わんばかりに、最近いろいろとニュースを目にするようになりました。

    www.newsweekjapan.jp

    jp.techcrunch.com

    しかし、いざ、その Chatbot を開発するとなった場合に、開発者はどのあたりに注意すればよいのか、どのような点を意識すればよいのか、という疑問が出てきます。
    この疑問に対する、ひとつのガイドラインになるかもしれない、以下のような記事がありました。

    venturebeat.com

    今回はこの記事を一緒に見ながら、Chatbot 開発で留意すべきポイントを確認していきたいと思います。


    紹介したこちらの記事では、
    「11 rules to follow when building a chatbot」
    という形で、Chatbot を開発する上で従うべき 11 の事柄を紹介しています。
    以下、それらをひとつずつ見ていきたいと思います。

    1.日々の生活を楽にしてくれる存在であること(Make life easier)

    とにかく、タスク管理でもディナーの予約でも、めんどくさいことは Chatbot まかせておけば OK、という存在であるべき、ということです。
    ユーザが、「なんか、難しいことはわかんないけど、あれやっといて」と指示を出すと、Chatbot がうまいことやっておいてくれる、そんな形が理想的だ、ということですね。

    2.ボット自身が、自分のことを紹介できること(Have the bot introduce itself)

    Chatbot 自身が、自分は何ができるのか、どのような機能を持っているのか、を説明できなければなりません。
    はじめて利用するユーザにも、スムーズに受け入れてもらえるよう、ガイドとなる機能を用意しておくべき、ということですね。

    3.ユーザをずっとサポートし続けること(Provide continuous support)

    ヘルプドキュメントやマニュアルには、Chatbot 自体から簡単にアクセスできるようにしておくべきです。
    また、「設定」や「スタート」「ストップ」「やりなおし」などなど、ユーザが「この機能はたいてい備わっているだろう」と思うような機能は、Chatbot も、やはりそれらの指示に応答できるようにしておくべきです。
    とにかく、ユーザをほったらかしにしない、ということですね。

    4.常に一歩先の提案ができるように(Always suggest the next step)

    例えばユーザが

    ディナーの席を予約しておいてくれないかな。

    と Chatbot に指示を出すと、

    わかりました。お席を予約しました。

    と返すだけではなく、

    わかりました。お席を予約しました。ご一緒に Uber もご予約しておきましょうか。

    のように、ユーザの行動を見越して、一歩先の「便利」を提案できるようにすべき、とのことです。

    5.最初はシンプルに、でも追加の機能にもすぐにアクセスできるように(Start simple, but quickly add power features)

    最初のうちはシンプルな機能のみ提供して、初めてのユーザにもとっつきやすいようにします。
    しかし、ある程度「慣れた」ユーザに対しては、どんどん追加の便利な機能も提供していくとよいでしょう。
    追加機能についての小さなヒントを、さりげなく提供していくと、なおよいのでしょうね。

    6.メッセージは簡潔に(Accept that interactions will be short, and that is OK)

    Chatbot の利用は、やはりスマートフォンなどの、比較的小さな画面からの利用が多くなるでしょう。
    表示するメッセージはできるだけ簡潔に。
    詳しい説明も必要かもしれませんが、あまり長い文章は、人間も読むのが大変です。

    7.テキスト入力と従来の GUI のいいとこどりで(Craft a hybrid experience)

    Chatbot だからといって、テキスト入力しかしてはいけない、ということはありません。
    従来のボタンやドロップダウンボックスなどの GUI のほうが、直感的に操作できることもあります。
    両方のいいとこどりで、ユーザインタフェースを設計するのがよいでしょう。

    8.Chatbot との会話をシンプルに(Make interactions simple)

    ユーザからの問い合わせをなんでもかんでも受け入れる、というのもいいかもしれませんが、場合によっては収集がつかなくなったり、想定内の受け答えが難しくなったり、ということも考えられます。
    Chatbot が対応できる範囲をある程度限定したうえで、ユーザを、うまく誘導していく、ということも必要になってくるのかもしれません。

    9.個性を持たせる(Use personality to make the experience more pleasant)

    ユーザにより快適に使ってもらうために、Chatbot に個性を持たせる、というのは、実は重要な要素のようです。
    サービスに応じて、発生のトーンを使い分けたり(法律相談であれば、頼りがいのある、専門家のような声で、ショッピングサイトであれば、もっと親しみやすいような感じで)、またときにはユーモアを交えたり、ということもできるでしょう。

    10.まずは特定の機能に特化した Chatbot から(Start off with a focused chatbot)

    実際のところ、現時点で、なんでもかんでも対応できる Chatbot が作れるわけではありません。
    とにかくまずは、ある特定の機能に特化したものを作って、そこから広げていくのがよいでしょう。

    11.常に返事を返すこと(Reply, always)

    Chatbot が、ユーザの指示を理解できなかったとしても、Chatbot は黙り込んでしまうのではなく、たとえば「あなたのおっしゃったことがわかりませんでした。」ということだけでも、回答として返すべきでしょう。場合によっては、ユーモアを交えて回答を返すのもよいかもしれません。
    ・・・確かに、Chatbot に無視されてしまっては、寂しいものがありそうですからね。

    まとめ

    実際のところ、人間にとっていちばん自然な、やりやすいコミュニケーションの手段は会話であり、この会話(または会話文)をインタフェースとする Chatbot が登場する、というのはごく自然な流れであるようにも思いました。
    従来の GUI がすべて、Chatbot に置き換わる、ということではないと思いますが、今後、ユーザインタフェースとしては重要な位置づけになってくるのだろうと思わされました。


              Les robots dérapent, mais c'est l'homme qui est responsable        
    Deux chatbots ont été désactivés après des propos défavorables au Parti communiste chinois, mais la rébellion des robots reste peu probable.
              AI, robotica e machine learning: la scommessa dei chatbot        

    chatbotSono davvero utili a ogni azienda? Quali sono le insidie e i problemi nell’adozione di una simile tecnologia? La risposta di SAP Hybris

    Leggi tutto l'articolo AI, robotica e machine learning: la scommessa dei chatbot su LineaEDP


              Alexa, Siri, Cortana: Our virtual assistants say a lot about sexism        

    They're designed to serve us, but are chatbots and virtual assistants reinforcing archaic stereotypes?


              Los chatbots y las oportunidades que se les presentan a las marcas con ellos        

    Las personas preferimos hablar entre nosotros a través de chats. Cada vez se utilizan menos las llamadas, dándole paso a servicios de mensajería como WhatsApp y Facebook Messenger. Con los mensajes el tiempo lo maneja cada uno, las respuestas son pensadas, se pueden utilizar emoticonos, etc. Si entre nosotros hablamos así ¿Por qué no aplicarlo también a la comunicación de las marcas con sus usuarios? Así lo han visto ya muchas marcas que han implementado el servicio de chat en sus páginas webs para atender a sus clientes. Ahora bien,...

    La entrada Los chatbots y las oportunidades que se les presentan a las marcas con ellos se publicó primero en El Cuartel.


              UYUMLAN YA DA ÖL!        

    UYUMLAN YA DA ÖL

    ECE SÜEREN OK, Management Centre Türkiye 


    İnsan Kaynaklarını 2017 ve ötesinde bekleyenler….
    Uzun zamandır hayal ettiğimiz, genç İK’cılarla İnsan Kaynakları fonksiyonuna 360 derece bir bakış sağlayan SHRM’in “HR Essentials” programını kalabalık bir grup ile tamamladıktan sonra bende yarattığı yansımaları ve İnsan Kaynakları trendlerini siz MCT Blog okuyucularıyla paylaşmak istedim.

    SHRM’in ana tasarımını lokal uygulama ve tecrübe paylaşımı ile geliştirdiğimiz “HR Essentials” programı sonucunda en etkili geri bildirim, aslında İK’nın farklı fonksiyonlarında çalışan bireylerin, diğerinin ne iş yaptığını daha da önemlisi o işin kendi işine etkisini tam olarak bilmemesiydi. Yani düşünün; yedekleme sisteminden sorumlusunuz ve sizin için kritik bir rolde kaybetmemeniz gereken bir çalışanınız var. Ancak yıllık performans değerlendirme sonucunda istediği artışı alamayan çalışanınızı kaybediyorsunuz ve nedenini bile anlamadınız. Bu durum ise İşe Alım’dan sorumlu arkadaşınızın zaten yoğun olan iş planına acil bir alım daha yaratıyor. Nedenini anlayamadığınız bir yetenek kaybı.

    Programla beraber, katılımcıların en büyük kazanımlarından biri de İK içindeki tüm fonksiyonların birbiriyle bağlantısını net görmeleri oldu.
    2 günün sonunda ise MCT’nin düzenlediği 22.İnsan Kaynakları Zirvesi’ndeki sunumumdan 2017 İK trendlerini paylaştım.

    Personel, İnsan Kaynakları derken artık İnsan Kaynakları, Çalışan Deneyimi yaratmak üzerine yeniden kodlanıyor. Şu an “Memnuniyet” diye bildiğimiz her uygulama, aslında beklentinin en düşük seviyesi olmuş durumda. Bu yüzden insan kaynakları profesyonellerinin, işe katkılarının olabilmesi ve yönetim masasında yer alabilmeleri adına, önce kendi işlerini çok iyi bilmeleri ardından da diğer fonksiyonlarla sıkı bir işbirliği yaratmaları gerekli. Kendi içinde, gizlilik ve sırlarla dolu mistik İK’yı artık iş dünyası kabul etmiyor.

    2017’deki 10 ana trende bakarsak;
    #1: İlgi uyandıran “Çalışan Deneyimi” yaratma
    The Future Workplace and Beyond.com’un yaptığı bir araştırmada, İK liderlerinin yüzde 83’ü "Çalışan Deneyimi" yaratmanın kendi organizasyonları için önemli ya da çok önemli olduğunu belirtmişler. İlgi uyandıran çalışan deneyimi için de daha çok gelişim yatırımı (56%), çalışma alanlarının geliştirilmesi (51%) ve ödüllendirme (47%) üzerine çalıştıklarını söylemişler. İlgi uyandıran çalışan deneyiminin yetenek savaşlarında bir organizasyona rekabetçi avantaj sağlayacağı kesin.

    #2) İşe Alım ve Gelişimde Çeviklik
    Değişim ve gelişimlerin öngörülmesi zor olan bir dünyada hızlı olabilmek için gerekli olan çeviklik, geleneksel olarak dijitalleşme ile çözümlenmekte. Öncelikle işe alımda başlayan dijitalleşmenin, özellikle ilgi uyandıran çalışan deneyimi de yaratmak adına çalışan gelişiminde de kullanılması öngörülmekte.

     #3) Kültürü destekleyen ofis ortamı yaratmak için farklı paydaşlarla ortaklık
    Susan Caine’in TEDx konuşmasında da söylediği gibi çalışma ortamları genellikle “dışa dönük” bireylerin etkin olarak çalışmasını destekleyecek şekilde dizayn edilmekte. Ancak bugünün dünyasında İK, içe dönük ve dışa dönük bireylerin performansını artıracak ofis /çalışma alanı tasarlamak adına, emlak, lojistik, hukuk vb. fonksiyonlarla da ortak çalışıp çözüm üretmeli.

    #4) Tüketici pazarlama bakış açısı ile İK’ya yaklaşma
    Nasıl tüketici pazarlama faaliyetleri ile bugün her marka tüketicilerine anında ulaşabiliyorsa, Ä°K departmanı da çalışanlarına akıllı telefonları ile anında ulaşabilmeli ya da tam tersi. Çevikliğin önemli olduğu dünyada akıllı telefon ve mobil aplikasyonlarla çalışan deneyimi yaratmak öncelik alanlarından olmalı.  

    #5) Ä°K’da «Chatbot»  - Simone
    Hepimiz, Al Pacino’nun aşık olduğu yapay zeka Simone’u hatırlar. Artık Simone’lar işe alım dünyasında…WEF’aya göre Endüstri 4.0 ile beyaz yakanın yerine getirdiği birçok rutin iş artık yapay zeka ile yapılacak. Bu işler için de İK bazı fonksiyonlarında pilot denemeler yapmaya başlamalı.

    #6) Harmanlanmış iş gücü- Gig Economy
    Bugünün iş dünyası sadece tam zamanlı çalışanlardan oluşmuyor. Geçici çalışanlar, yarım zamanlılar, geçici proje ekipleri, danışmanlar, süreç yöneticileri vb. Hepsi harmanlanmış iş gücünün bir parçası. Ancak gelecek bu harmanın içine katılacak yapay zeka ile İK liderleri sadece kadın – erkek eşitliği, farklılıkların eşitliği konseptlerini “insan” üzerine uygulamayacak. Hangi işe insan hangisine robot alacağımızı konuşacağımız günler de yakında.

    #7) Kariyer hareketleri fırsatları geliştirmek
    “The Future Workplace Forecast”in 2.147 global İK lideri ile yaptığı araştırmaya göre şirketler, çalışanlarının farklı rolleri deneyimleyebilmesi için alternatif süreçler / yollar yaratmakta. İK liderlerinin %49’u bu yaklaşımın bağlılığı artırdığına, %39’u performası yükselttiğine ve %39’u da ekip çalışmasını güçlendirdiğini söylemekte.Yetenek savaşlarının hızlandığı Türkiye’de çalışanları terfi edemediğimiz her durumda, farklı rolleri deneyimleyecekleri yapılar kurmak İK’nın hedefi olmalı.

     #8) Wellness Yatırımları
    “Wellness” bugünün İK’sında yavaş yavaş yer almaya başlayan gündem maddesi. Ancak, İK’nın wellness bakış açısını sindirip, çalışanlarının ihtiyacı olan alanlar odaklaması farkı yaratmakta. Çalışan deneyimi, bağlılık ve performans artışı istenen bu dönemde İK, çalışanının hayat döngüsüne katkıda bulunacak “wellness” yatırımlarını yapmalı.

    #9)  Bireysel gelişimden ekip gelişimini geçiş
    İK departmanları bugüne kadar hep bireysel performans, bireysel gelişim ve bireysel ödüllendirmeye odaklansa da, tüm araştırmalar ekip zekasının, ekip ruhu ve birlikteliğinin geliştirilmesinin farkı yarattığını göstermekte. O yüzden önümüzdeki dönemlerde bireyselden ekip gelişimine odaklanma konusunda programlar geliştirilmeli.

     #10) Yeni Ä°K Rollerine hazırlık
    Ä°K için Yeni Normal dünyası başlıyor. Yeni Normal ne? diye sorarsak; tüketici pazarlama bakış açısıyla, dijitalleşmeyle çevik, yapay zeka ile içiçe çalışacak bir dünyada Ä°K’da da yeni roller çıkacak. Bunlara örnek olarak, şu an Airbnb’deki “Global Head of Employee Experience”ı  ya da IBM’deki “Chief StoryTeller”ı örnek gösterebiliriz.

    SHRM HR Essentials programı katılımcılarının görüşüne göre de Türkiye’nin ilk 3 önceliği:
    İlgi Uyandıran “Çalışan Deneyimi” yaratma
    İşe Alım ve Gelişimde Çeviklik
    Wellness Yatırımları

    İK için bambaşka bir dönemin başladığı kesin. Ya uyumlanacağız ya da yok olacağız.
     

              Beyond home devices: Conversational AI for business        

    Conversational AI interprets data and converts information into plain language. Many businesses use it in "chatbots" to enhance the customer experience. Conversational AI can also be a gateway to introducing other technologies, such as machine learning.


              Introducing Microcosm: Our Data Layer For React        

    One of my favorite things about working in client-services is the interval with which we start new work. As a React shop, this means we build a lot of new apps from the ground up.

    Along the way, we've distilled what we've learned and baked it into a tool that I, finally, want to talk about.

    Microcosm is our general purpose tool for keeping React apps organized. We use it to work with application state, split large projects into manageable chunks, and as the guiding star for our application architecture.

    In this post, I'll provide a high level overview of Microcosm and some of the features I find particularly valuable. Don't forget to check out the project on Github!

    At a glance

    Microcosm was born out of the Flux mindset. From there it draws similar pieces:

    Actions

    Actions are a general abstraction for performing a job. In Microcosm, actions move through a standard lifecycle: (open, update, resolve, reject, cancel).

    Actions can process a variety of data types out of the box. For example, a basic networking request might look like:

    import request from 'superagent'
    
    function getUser(id) {
      // This will return a promise. Microcosm automatically handles promises.
      return request(`/users/${id}`)
    }
    
    let repo = new Microcosm()
    let action = repo.push(getUser, '2')
    
    action.onDone(function (user) {
      console.log("Hurrah!")
    })
    
    action.onError(function (reason) {
      console.log("Darn!", reason)
    })

    However they can also expose fine grained control over their lifecycle:

    import Microcosm from 'microcosm'
    import request from 'superagent'
    
    function getUser(id) {
      return function(action) {
        let xhr = request(`/users/${id}`)
    
        // The request has started
        action.open(id)
    
        // Show download progress
        xhr.on('progress', action.update)
    
        // Make the request cancellable
        action.onCancel(xhr.abort)
    
        // Normal pass/fail behavior
        xhr.then(action.resolve, action.reject)
      }
    }
    
    let repo = new Microcosm()
    
    let action = repo.push(getUser, 2)
    
    action.onUpdate(event => console.log(event.percent)) // 0 ... 10... 20... 70...
    
    // Wait, I no longer care about this!
    action.cancel()
    

    Domains

    Domains define the rules in which actions are converted into new state. Conceptually they are sort of like stores in Flux, or reducers in Redux. They register to specific actions, performing some transformation over data:

    const Users = {
      getInitialState() {
        return []
      },
      addUser(users, record) {
        return users.concat(record)
      },
      register() {
        return {
          [getUser]: this.addUser
        }
      }
    }
    
    repo.addDomain('users', Users)

    Basically: mount a data processor at repo.state.users that appends a user to a list whenever getUser finishes.

    Effects

    Effects provide an outlet for side-effects after domains have updated state. We use them for flash notifications, persistence in local storage, and other behavior that doesn't relate to managing state:

    const Notifier = {
      warn(repo, error) {
        alert(error.message)
      },
      register() {
        return {
          [getUser]: {
            error: this.warn
          }
        }
      }
    }
    
    repo.addEffect(Notifier)

    New here: Domains and Effects can subscribe to specific action states. The effect above will listen for when getUser fails, alerting the user that something went wrong.

    Altogether, this looks something like:

    import Microcosm from 'microcosm'
    import request from 'superagent'
    
    let repo = new Microcosm()
    
    function getUser(id) {
      return request(`/users/${id}`)
    }
    
    repo.addDomain('users', {
      getInitialState() {
        return []
      },
      addUser(users, record) {
        return users.concat(record)
      },
      register() {
        return {
          [getUser]: this.addUser
        }
      }
    })
    
    // Listen to failures. What happens if the AJAX request fails?
    repo.addEffect({
      warn(repo, error) {
        alert(error.message)
      },
      register() {
        return {
          [getUser]: {
            error: this.warn
          }
        }
      }
    })
    
    // Push an action, a request to perform some kind of work
    let action = repo.push(getUser, 2)
    
    action.onDone(function() {
      console.log(repo.state.users) // [{ id: 2, name: "Bob" }]
    })
    
    // You could also handle errors in a domain's register method
    // by hooking into `getUser.error`
    action.onError(function() {
      alert('Something went terribly wrong!')
    })
    

    It's 2017, why aren't you using Redux?

    We do! As a client services company, we use whatever tool best serves our clients. In some cases, that means using Redux, particularly if it's a client preference or the existing framework for a project.

    However there are a few features of Microcosm that we think are compelling:

    Action State

    We've found that, when actions are treated as static events, the state around the work performed is often discarded. Networking requests are a story, not an outcome.

    What if a user leaves a page before a request finishes? Or they get tired of a huge file uploading too slowly? What if they dip into a subway tunnel and lose connectivity? They might want to retry a request, cancel it, or just see what’s happening.

    Microcosm makes this easier by providing a standard interface for interacting with outstanding work. For example, let's say we want to stop asking for data if a user no longer cares about the related presentation:

    import React from 'react'
    import { getPlanets } from '../actions/planets'
    
    class PlanetsList extends React.Component {
      componentWillMount() {
        // We could avoid needing to pass down a "repo" prop by
        // using some options shown later
        const { repo } = this.props
    
        this.action = repo.push(getPlanets)
      }
      componentWillUnmount() {
        this.action.cancel()
      }
      render() {
        //... render some planets
      }
    }
    

    Assuming we give this component a Microcosm "repo" prop, and a list of planets, this component will fetch planets data, stopping whenever the component unmounts. We don't need to care if the request is represented by a Promise, Observable, error-first callback, etc.

    Reducing boilerplate

    Since actions move through consistent states, we can leverage these constraints to build boilerplate reducing React components for common problems. For example, we frequently need to dispatch an action to perform some task, so Microcosm ships with an <ActionButton /> component:

    import React from 'react'
    import ActionButton from 'microcosm/addons/action-button'
    import { deleteUser } from '../actions/user'
    
    class DeleteUserButton extends React.Component {
      render() {
        const { userId } = this.props
    
        return (
          <ActionButton action={deleteUser} value={userId}>
            Delete User
          </ActionButton>
        )
      }
    }
    

    Because the lifecycle is predictable, we can expose hooks to make further improvements around that lifecycle:

    import React from 'react'
    import ActionButton from 'microcosm/addons/action-button'
    import { deleteUser } from '../actions/user'
    
    class DeleteUserButton extends React.Component {
      state = {
        loading: false
      }
    
      setLoading = () => {
        this.setState({ loading: true })
      }
    
      handleError = reason => {
        alert(reason)
        this.setState({ loading: false })
      }
    
      render() {
        const { userId } = this.props
        const { loading } = this.state
    
        return (
          <ActionButton action={deleteUser} value={userId} disabled={loading} onOpen={this.setLoading} onError={this.handleError}>
            Delete User
          </ActionButton>
        )
      }
    }
    

    This makes one-time, use-case specific display requirements, like error reporting, or tracking file upload progress easy. In a lot of cases, the data layer doesn't need to get involved whatsoever. This makes state management simpler - it doesn't need to account for all of the specific user experience requirements within an interface.

    Optimistic updates - Taking a historical approach

    Actions are placed within a history of all outstanding work. This is maintained by a tree:

    Microcosm Debugger

    Taken from the Chatbot example.

    Microcosm will never clean up an action that precedes incomplete work. When an action moves from open to done, or cancelled, the historical account of actions rolls back to the last state, rolling forward with the new action states. This makes optimistic updates simpler because action states are self cleaning; interstitial states are reverted automatically:

    import { send } from 'actions/chat'
    
    const Messages = {
      getInitialState() {
        return []
      },
    
      setPending(messages, item) {
        return messages.concat({ ...item, pending: true })
      },
    
      setError(messages, item) {
        return messages.concat({ ...item, error: true })
      },
    
      addMessage(messages, item) {
        return messages.concat(item)
      },
    
      register() {
        return {
          [send]: {
            open: this.setPending,
            error: this.setError,
            done: this.addMessage
          }
        }
      }
    }
    

    In this example, as chat messages are sent, we optimistically update state with the pending message. At this point, the action is in an open state. The request has not finished.

    On completion, when the action moves into error or done, Microcosm recalculates state starting from the point prior to the open state update. The message stops being in a loading state because, as far as Microcosm is now concerned, the open status never occurred.

    Separating responsibility with Presenters

    The Presenter addon is a special React component that can build a view model around a given Microcosm state, sending it to child "passive view" components.

    When a Presenter is instantiated, it creates a fork of a Microcosm instance. A fork is a "downstream" Microcosm that gets the same state updates as the original but can add additional Domains and Effects without impacting the "upstream" Microcosm.

    This sandbox allows you to break up complicated apps into smaller sections. Share state that you need everywhere, but keep context specific state isolated to a section of your application:

    class EmailPreferences extends Presenter {
      setup(repo, props) {
        repo.add('settings', UserSettings)
    
        repo.push(getUserSettings, props.user.id)
      }
    
      getModel(props) {
        return {
          settings: state => state.settings
        }
      }
    
      render() {
        const { settings } = this.model
    
        return (
          <aside>
            {/* Email preferences UI omitted for brevity */}
          </aside>
        )
      }
    }
    

    In this example, we can keep a users email preferences local to this component. We could even lazy load this entire feature, state management included, using a library like react-loadable. For large applications, we've found this is essential for keeping build sizes down.

    David wrote a fantastic article that goes into further detail on this subject.

    What's next

    At Viget, we're excited about the future of Microcosm, and have a few areas we want to focus on in the next few months:

    • Developer tools. First class developer tools have become the baseline for JavaScript frameworks. Since Microcosm "knows" more about the state of actions, presenters, and other pieces, we're excited about opportunities to build fantastic tooling.
    • Support for Preact, Glimmer, Vue, and other frameworks. We'd love to stop calling our apps "React apps". What would it look like for the presentation layer to take on less responsibility?
    • Observables. The similarities between Actions and Observables is striking. We're curious about how we can use Observables more under the hood to provide greater interoperability with other tools.

    So check it out! We're always willing to accept feedback and would love to hear about how you build apps.


              Comment on Building A Simple AI Chatbot With Web Speech API And Node.js by Kalin        
    @brownie, your issue as you describe it, sounds to be caused by your browser blocking functionalities. You can try another demo of the API https://developers.google.com/web/updates/2013/01/Voice-Driven-Web-Apps-Introduction-to-the-Web-Speech-API and if it does not work, neither - check the browser permissions. Another quite unlikely scenario would be that you have the focus of the feature already taken by another tab and your current tab can't work, similarly to https://github.com/TalAter/annyang/blob/master/docs/FAQ.md#why-does-speech-recognition-repeatedly-starts-and-stops
              Comment on Building A Simple AI Chatbot With Web Speech API And Node.js by Tomomi        
    brownie, hmmm I wonder why. I would just reboot the machine and try again. Does the microphone work in general, outside of the browsers? When you run the demo on Chrome (BTW, the demo does not work on FF & Edge, as the API is only partially supported by them), does the browser ask you the permission to use the microphone?
              Comment on Building A Simple AI Chatbot With Web Speech API And Node.js by Tomomi        
    Yes, you are very correct, Wei. I didn't want to over-complicate the article by mentioning forman, since the main topic of this article is the Web Speech API. I bet you got it, but in case some other readers wonder about how to install forman to use the `nf` command, I mentioned in my other article on Medium: https://tutorials.botsfloor.com/creating-a-slack-command-bot-from-scratch-with-node-js-distribute-it-25cf81f51040
              Comment on Building A Simple AI Chatbot With Web Speech API And Node.js by Tomomi        
    Hi Salman, This article is mainly about the web API on browsers and the node.js part is really optional. But if you'd like to use api.ai with the web API like I do, they have SDKs for other langs. https://api.ai/docs/sdks
              Comment on Building A Simple AI Chatbot With Web Speech API And Node.js by brownie        
    hello, Tomomi. I set up webspeech in my server according to your guide and github source. But, it's not working in my browser. (Chrome, edge, firefox) These browser is latetest version. In all browser, microphone is not working. In the case of chrome, chrome block microphone function. Could you solve this issue? I tried your test site (webspeech.herokuapp.com). It happen same problem. Thanks.
              How AI Alters the Way the World Interacts with Brands: Shweiki Media Printing Company Presents a New Webinar on the Impact of Artificial Intelligence        

    Artificial intelligence has already begun to change the way brands and customers interact, and as time goes on, this technology will play an increasingly huge role in customer service. In this new webinar, Shweiki Media teams ups with tech and marketing expert Tim Hayden of Brain+Trust to discuss the role of chatbots and artificial intelligence and explain how brands can implement this technology now and in the future.

    (PRWeb May 10, 2017)

    Read the full story at http://www.prweb.com/releases/Shweiki-Media-Printing-Co/AI-Business/prweb14318832.htm


              #ChatBots: Le Opportunità, Statistiche e utilizzo delle Aziende + Case Study        
    Cosa è un ChatBot e come si usa? Tipologie e opportunità con uno sguardo alla loro evoluzione e applicazione nel Business Digitale. INDICE  Che cosa è un BOT Che cosa è un ChatBot ChatBots e Aziende Tipologia ChatBot ChatBots e Customer Care ChatBots per E-Commerce ChatBots e Personalizzazione Come si crea un ChatBot Promozione ChatBots Come si misura un ChatBot La parola “Bot” è l’abbreviazione di “robot”, e come dice il buon Wikipedia in terminologia informatica in generale è un programma che accede alla rete attraverso lo stesso tipo di canali utilizzati dagli utenti umani. Si dice che l’origine dei primi BOT sia nata negli anni cinquanta grazie ad Alan Turing, matematico e crittografo britannico, considerato uno dei padri dell’informatica. Nei “tempi più recenti” forse ci ricordiamo di Clippy, la graffetta e assistente virtuale in Microsoft Office, che interagiva con l’utente con suggerimenti sul programma. Si non era una vera persona, mi dispiace, quello era un Bot. I BOT li abbiamo sempre trovati anche nel mondo dei Videogiochi, l’utilizzo più comune è come avversari virtuali con cui allenarsi e fare pratica in assenza di avversari umani. Quindi possiamo dire che i Bot sono sempre stati in mezzo a noi, un po’ come gli ...
              Digitalia #330 - Gingillopedia        

    Scienziati tedeschi insegnano il dolore ai robot. Kurzweil sviluppa un bot in grado di imitare il modo di esprimersi del “padrone”. Il futuro degli assistenti virtuali. La catena di trust del web in pericolo. Queste e molte altre le notizie commentate nella puntata di questa settimana.

    Dallo studio distribuito di digitalia:
    Franco Solerio, Giulio Cupini, Michele Di Maio, Francesco Facconi

    Produttori esecutivi:
    Fabrizio Rubino, Paolo Antognoni, Alessandro Plicato, Stefano Villani, Matteo Sandri, Mattia Lanzoni, Paola Danieli, Paolo Becci, Roberto Esposito, Aerre, Ivan Vannicelli, Ivan Anselmi, Julien Leclerc, Riccardo Peruzzini, Carlotta Cubeddu, Giuseppe Siliberti, Flavio Brame', Douglas Whiting, Pierfrancesco Urbano, Dardi Massimiliano, Manuel Zavatta, Lorenzo Pontecorvi, Mauro Schiavon, Stefano Augusto Innocenti, Riccardo Odone, Zambianchi Marco Francesco Mauro, Riccardo Tempesta, Maurizio Galluzzo

    Sponsor:
    Hover - Domain name and email management made simple.

    Links: Gingilli del giorno:
              Digitalia #324 - Faccio il Bot        

    Facebook presenta la sua piattaforma per Bot e i primi esemplari, sarà il futuro dell’interazione digitale o solo la moda del momento? Alphabet studia una Google-city per i suoi servizi. L’influenza di Facebook sul processo democratico. Microsoft cita il governo USA a giudizio. Queste e molte altre le notizie commentate nella puntata di questa settimana.

    Dallo studio distribuito di digitalia:
    Franco Solerio, Giulio Cupini, Michele Di Maio, Francesco Facconi

    Produttori esecutivi:
    Domenicantonio Colonnello, Fabio Ferrari, Fabrizio Rubino, Enrico Carangi, Fulvio Barizzone, Ciro Oliviero, Francesco Pomella, Alessandro Billeri, Diego Arati, Alessandro Grossi, Alessandro Morgantini, Michelangelo Rocchetti, Simone Podico, Mignano Marco Daniel, Antonio Barbone, Marco Mazzocchi, Andrea Bottaro, Denis Grosso, Emilio Botta, Alessandro Sibilia, Umberto Marcello, Giorgio Puglisi, Fabio Brunelli, Giacomo Cipriani, David Padovani, Roberto Roccatello, Gianni Bragante, Mauro Tommasi, Donato Gravino, Guido Palazzo, Maurizio Mistrali, Roberto Rastello, Sebastiano Amoddio, Letizia Calcinai, Emanuele Libori, Giancarlo Merlin, Luca D'Aguanno, Marco Giorgetti, Gianluca Nucci, Paolo Tegoni, Alessandro Gambogi, Alessandro Toschi, Giovanni Cannata, Sascha Navarra

    Sponsor:
    Squarespace.com - utilizzate il codice coupon "DIGITALIA" per avere il 10% di sconto sull'abbonamento annuale o bi-annuale.

    Links: Gingilli del giorno:
              Digitalia #322 La Settimana dei Bot        

    Twitter trasforma la chatbot di Microsoft in una nazista negazionista filo-hiltleriana. AI e Chatbot sempre più al centro delle strategie dei grandi della Silicon Valley. L’annuncio di Tesla e il suo grande successo nelle prenotazioni. Queste e molte altre le notizie commentate nella puntata di questa settimana.

    Dallo studio distribuito di digitalia:
    Franco Solerio, Giulio Cupini, Michele Di Maio, Francesco Facconi

    Produttori esecutivi:
    Federico Morello, Marco Mandia, Fabrizio Rubino, Fabrizio Rubino, Francesco Antonio Sessa, Gianni Stanghellini (Walk About Tuscany), Daniele Tomasoni, Federico Giuntoli, Vittorio Zuccala', Maurizio Chiarotto, Daniele Ferone, Valerio Bendotti, Cristiano Belli, Alessandro Plicato, Paolo Antognoni, Stefano Villani, Matteo Sandri, Carlo Selvestrel, Paola Danieli, Mattia Lanzoni, Paolo Becci, Aerre, Ivan Anselmi, Ivan Vannicelli, Riccardo Peruzzini, Giulio Magnifico, Michele Olivieri, Christian A Marca, Stefano Moro, Christian Peretto, Davide Evangelisti, Diego Venturin, Antonio Turdo (Thingyy), Gabriele Caspani, Alex Ordiner, Mario Cervai, Federico Bruno, Alberto Crosio, Simone Pignatti, Stefano Negro, Saverio Gravagnola, Roberto Tarzia, Adriano Guarino, Francesco Mocellin, Roberto Terranova, Massimo Pollastri, Roberto Fiorentino, Paolo Massignan, Antonio Gargiulo, Giuseppe Siliberti, Dardi Massimiliano, Flavio Brame', Douglas Whiting, Pierfrancesco Urbano, Manuel Zavatta, Lorenzo Pontecorvi, Mauro Schiavon, Stefano Augusto Innocenti, Riccardo Odone, Zambianchi Marco Francesco Mauro, Matteo Molinari, Luca Siciliano Viglieri, Marco Caggianese, Andrea Zannini, Andrea Giovacchini, Marcello Marigliano, Mario Morellini, Gabriele Bonetti, Riccardo Tempesta, Maurizio Galluzzo, Fabio Bianchi, Giovanni Bertozzi, Luca Zannoni, Claudio Meloni

    Sponsor:
    Hover - Domain name and email management made simple.

    Links: Gingilli del giorno:
              Where Do Chatbots Fit In The Future Of Social Commerce? Find Out At #SMWLDN        
    More than a buzzword, chatbots will soon help businesses drive sales. Join us at Social Media Week London to learn more.
              Five growth industries picked for more focused job help        
    Drive to match PMETs to jobs in growth sectors facing disruption
    Five political office holders to helm efforts in sectors that employ almost a million workers
    By Joanna Seow, The Straits Times, 20 Jul 2017

    Five political office holders, including a Cabinet minister, will coordinate efforts to match Singaporeans to jobs in industries that hold the promise of growth, but where higher-skilled workers may need help to adapt to the sweeping changes coming their way.

    Manpower Minister Lim Swee Say said yesterday that the five industries were chosen as they were likely to be the most affected by disruptive technology.

    At the same time, they have tremendous potential for job growth, he added. Between them, these industries currently employ almost a million workers.

    Second Minister for Manpower Josephine Teo will lead the effort. The growth sectors, which will be overseen by four senior ministers of state, are: healthcare (headed by Dr Amy Khor); infocomm and media (Dr Janil Puthucheary); wholesale trade (Dr Koh Poh Koon); professional services; and financial services. The latter two will be overseen by Ms Indranee Rajah.

    New sectors may be added to the list later on, Mr Lim told reporters at the opening of the Careers Connect centre at the Lifelong Learning Institute in Paya Lebar.

    This latest move will also help tackle the growing risk of job loss faced by professionals, managers, executives and technicians (PMETs). This group makes up about seven out of 10 residents made redundant.

    Mrs Teo noted in a Facebook post yesterday that in the next few years, about half of the 25,000 to 40,000 PMET jobs created each year are expected to be in the five growth sectors.

    Already, they employ more than half a million local PMETs.

    "Even against global headwinds, these five sectors in Singapore are growing and creating new jobs for PMETs. Our goal is to help Singaporeans access these opportunities," she said.

    The five ministers have started working with agencies, such as the Monetary Authority of Singapore, Economic Development Board, Infocomm Media Development Authority, Health Ministry and International Enterprise Singapore, to systematically identify job openings and the skill requirements.



    Mr Lim also said that the Government, employers and unions in each of the sectors will look at how workers will be affected by industry changes.

    They will also explore ways to retrain them for new jobs by, for instance, using Adapt and Grow schemes, including Professional Conversion Programmes.

    In the finance sector, jobs in areas such as asset and wealth management, as well as finance- related IT jobs such as data analytics and machine learning, are expected, Ms Indranee, Senior Minister of State for Finance and Law, said in a Facebook post.

    She added that her workgroup aims to more effectively match people to jobs they are best suited for.

    Dr Koh, Senior Minister of State for Trade and Industry, said wholesale trade is a diverse industry with an international component, "so PMEs must be prepared to take on regional roles and understand regional market needs".

    More help to connect job seekers with jobs was also launched yesterday by statutory board Workforce Singapore (WSG).

    It added five new free programmes at its career centres. These include one-on-one career guidance for job seekers and counselling for those struggling to cope emotionally with job loss.

    Employers can turn to workshops on writing job descriptions with clear skills-based requirements to attract the right talent.

    WSG has also redesigned its three career centres to make them more user-friendly. Now called Careers Connect, they are located in Paya Lebar, Tampines and Woodlands.
















    Help for those in five industries
    By Joanna Seow, The Straits Times, 20 Jul 2017

    HEALTHCARE

    Singapore's ageing population will require more healthcare workers in both clinical and non-clinical roles. Clinical jobs include diagnostic radiographers and dental surgery assistants, while non-clinical staff include care managers.

    Employs: 91,000 workers.

    Job vacancies: 2,700 (includes social services). Professional Conversion Programmes (PCPs) include those for physiotherapists and registered nurses.


    INFOCOMM AND MEDIA

    Technology has been a gamechanger in connectivity and the way people consume media. Workers with skills in using data and new media are in demand.

    Employs: 128,600 workers.

    Job vacancies: 2,600. PCPs include those for data analysts and business intelligence architects.


    WHOLESALE TRADE

    Wholesale trade is a diverse sector that ranges from commodities trading and machinery and equipment, to household goods and general merchandise. It has about 34,000 companies.

    Employs: 324,400 workers.

    Job vacancies: 2,900. PCPs include that for international trading executives.


    FINANCIAL AND INSURANCE SERVICES

    Financial advice may be offered by chatbots in the future. Already, technology is automating job functions such as trading. Experts are needed to guard against cyber threats.

    Employs: 207,500 workers.

    Job vacancies: 3,700. PCPs include that for compliance professionals.


    PROFESSIONAL SERVICES

    These include legal, accounting and management as well as architectural and engineering services. Many processes like human resource management are being automated, and workers need the skills for new technology.

    Employs: 247,100 workers.

    Job vacancies: 2,600. PCPs include that for professional services executives.

















    Peer support and career coach help in job switch
    By Joanna Seow, The Straits Times, 20 Jul 2017

    After 20 years of being a product engineer in manufacturing, Mr Chong Choon Yew felt a strong urge to switch to social work.

    The passion to do good had been growing in him for 10 years, since he began volunteering at Buddhist foundation Tzu Chi Singapore.

    Also, he struggled to balance work and family as he had to be on standby every weekend.

    In April,the 45-year-old father of a 13-year-old boy quit his job and went in search of work in the social services sector.

    But without relevant professional experience, his three- month search led nowhere until a career coach with Workforce Singapore (WSG) advised him to include his volunteer experience in his resume.

    Coupled with help from another WSG career coach, Mr Chong passed an interview to be a care coordinator at the North East Community Development Council, where he will manage a team of volunteers who organise activities for the elderly.

    Said Mr Andrew Er, 30, the career coach who helped Mr Chong improve his interview skills: "Mr Chong's years of volunteer experience are valuable in his new job."

    As a Tzu Chi volunteer, Mr Chong would visit families on financial aid to assess their situation. He also set up recycling centres for residents.

    Mr Chong said: "I am grateful for this new opportunity. I hope my passion will help me in my new role, and I plan to upgrade myself along the way."

    He also gave credit to WSG's new Career 360 programme, which connected him with others seeking work in the same field. They would meet every fortnight to discuss their job search progress and share tips.

    "It is good to have such support because it is lonely looking for a job on your own," said Mr Chong.

    Career 360 is among four new programmes for job seekers announced by the WSG yesterday.

    The others include Career Catalyst and Career Recharger, both of which began in April as pilot runs.

    Career Catalyst, which gives one-on-one career guidance to help job seekers plan their career goals, has been attended by 150 people.

    Career Recharger provides one-on-one counselling sessions for those struggling to cope emotionally with job loss. It has helped seven people so far.

    The fourth programme comprises workshops on delivering a good "elevator pitch". In other words, to market oneself effectively in the amount of time it takes for a ride in a lift.

    The programmes are free.

    Meanwhile, WSG's Careers Connect centre at the Lifelong Learning Institute in Paya Lebar has been redesigned, with rooms for job interviews and 20 desktop computers for job seekers to access online career resources.

    The opening hours of a lobby area with computer terminals and information on jobs in demand will be extended. It will be open from 7am to 10pm, instead of 9am to 5pm.

    The Tampines and Woodlands Careers Connect centres have also been redesigned to be more user-friendly.



              Facebook AI: perché "Bob" e "Alice" sono stati bloccati        
    Nelle scorse ore si è diffusa la notizia secondo cui Facebook avrebbe bloccato due chatbot basati sull'Intelligenza Artificiali perché "colpev...
              Indicadores sobre la industria de tecnologías del aprendizaje        
    El think tank, The Company of Thought, integrado por expertos independientes de diversas nacionalidades, publicó su último informe trimestral en el que se presentan análisis de mercado, novedades y previsiones sobre realidad virtual, realidad aumentada, gamification, inteligencia artificial, deep learning, aprendizaje automático, y e-learning. Ofrecemos un anticipo del reporte. (@americalearning) “Con las tecnologías de aprendizaje en línea desarrollándose más rápido que nunca y siendo influenciadas por las nuevas tecnologías del sector, no es de extrañar que las personas que se desempeñan en esta industria quieran tener acceso a un análisis independiente de primer nivel, con comentarios de expertos internacionales. Esto puede ayudar a dar sentido a lo que, de lo contrario, podría ser confuso y costoso al mismo tiempo”, señaló Bob Little, co-Fundador del think tank The Company of Thought Senior Partner de Bob Little Press & PR, al ser consultado por America Learning Media en relación a la relevancia del informe “The Company of Thought (TCoT) Report, June 2016”.

    A continuación, compartimos en forma sintética algunos resultados y aspectos generales del informe, agradeciendo a The Company of Thought y particularmente a Bob Little, la posibilidad de compartirlos con nuestros lectores.

    1. Realidad Virtual y Realidad Aumentada