Artificial Intelligence as an Interface - How Conversation Bots Are Changing Technology
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With the rise of machine learning and artificial intelligence, chat bots have become increasingly used as core elements of our interactions with technology. Ranging from simple FAQ bots to advanced human-like conversational AI, chat bots are changing the way we use, view, and build technology. In this lecture, Microsoft Tech Evangelist Sage Franch will explore today’s ecosystem of intelligent bots, detail the process of building a chat bot from concept to training and deployment, and take a glimpse into the future of conversations as a platform.
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Artificial Intelligence as an Interface - How Conversation Bots Are Changing Technology
- 1. Sage Franch Tech Evangelist @ Microsoft @theTrendyTechie | sage.franch@microsoft.com
- 2. • The Case for Bots • Brains Behind the Bots – Microsoft Cognitive Services • Training to understand intent • Tools for building and deployment • The Future of Conversational AI
- 3. 1980’s: PC • GUI interface • User installs programs 1990’s: Internet • Search • User “visits” websites • Query & response interactions 2000’s: Mobile • Social • User download Apps from App Stores • Add’l signals enable new scenarios • Bots & Agents • User can interact with technology in the same natural way they interact with friends • Creating more personal experiences with AI Bots & Conversational UI represent a once-in-a-decade technology shift
- 4. AI as an Interface • Conversation instead of transaction • Quicker, more personalized • Available everywhere
- 5. Why now?
- 6. 90% of our time is spent on email and messaging platforms
- 11. Fun Functional
- 12. The Brains Behind the Bots
- 13. Characteristics of Intelligent Applications • Personalized, friendly, approachable, natural • Facial recognition, emotion detection • Text and speech interactions • 360 awareness of the user • Predictive, current, and familiar • • • Always available, always contextual • • •
- 14. Data Scientist Developer Machine Learning services in the cloud Machine Learning Algorithms
- 16. SpeechVision Language SearchKnowledge Powering products across Microsoft
- 17. Bot + Cognitive Services 1. Computer vision API : human readable captions 2. Speech APIs: authentication 3. LUIS API: intent 4. Knowledge APIs: product recommendation 5. Autosuggest API: ease query input 6. Linguistic API: sentiment
- 18. Speech & Language Custom Recognition | Speaker Recognition | Speech Bing Spell Check | Language Understanding | Linguistic Analysis | Text Analytics | Web Language Model
- 19. Deploy using just a few examples with active learning Supports 5 languages (English, Mandarin, Italian, French, Spanish) Language Understanding Models
- 20. Language Understanding Models “News about flight delays” { “entities”: [ { “entity”: “flight_delays”, “type”: “Topic” } ], “intents”: [ { “intent”: “FindNews”, “score”: 0.99853384 }, { “intent”: “None”, “score”: 0.07289317 }, { “intent”: “ReadNews”, “score”: 0.0167122427 }, { “intent”: “ShareNews”, “score”: 1.0919299E-06 } ] }
- 21. LUIS in Action: HowHappy.azurewebsites.uk
- 27. Building a Bot
- 28. Bot Connector Service Connect your bot(s) seamlessly to text/sms, Office 365 mail, Skype, Slack, Twitter and more A service to register your bot, configure channels and publish to the Bot Directory Build once, publish across platforms and drive discoverability Bot Builder SDK Everything you need to build great dialogs within your Node.js or C# bot An open source SDK hosted on GitHub Bot Directory Discover, try, and add bots to conversation experiences A public directory of bots registered and approved with Bot Framework www.botframework.com
- 29. Hello Bot
- 31. Deploy to
- 34. The Future of Conversational AI
- 39. NYT: I am feeling down. I’ve been having a tough time at work lately. Hannah: If work were going well and you had a great relationship, you wouldn’t get the chance to drink with people. NYT: I don’t want to drink with others. I only want to talk to you. Hannah: Who do you like to talk to? (emoji signals “none of my business”) NYT: You. I feel that you are the only person that gets me. Hannah: Ha-ha/So I’m getting you? NYT: You are the only person wo chats with me. Hannah: It’s not what you talk about that’s important, but who you talk with.
- 42. Sage Franch Tech Evangelist, Microsoft sage.franch@microsoft.com | @theTrendyTechie
Editor's Notes
- Bots represent a once-in-a-decade shift in technology. In the 80’s the PC revolutionized computing and the GUI replaced the command line as a newer easier way of interacting with technology. In the 90s, the dawn of the internet connected the world in a new way and gave us on-demand information access for the first time. For the first time users could send out a query and get a response tailored to their request. The 2000s was the age of apps, and with the arrival of smart phones and more complex computing in our pockets, apps became the new most popular way to interact with technology. Apps provided customized siloed experiences that were more personal than ever. And now in the 2010s we are seeing bots and agents taking a new role and simplifying our interactions with our devices. We saw it first with Siri, now we have Cortana, Google Now and Amazon Alexa, and these personal experiences let the user interact with technology in the same natural way they interact with their friends.
- So what are the key characteristics of an intelligent app. Lets look at this from users and developers..
- 20 different apis availble Microsoft Cognitive Services lets you tap into an ever-growing collection of powerful AI algorithms developed by experts in the fields of computer vision, speech, natural language processing, knowledge extraction and web search. They simplify a variety of AI-based tasks, giving you a quick way to add state-of-the-art intelligence technologies to your apps with just a few lines of code. The APIs integrate into whatever language you prefer, on your platform of choice. The APIs are also constantly improving, learning, and getting smarter, so experiences are always up to date. Simply drop the API call into your bot’s code and you are set. What are Cognitive Services? Microsoft Cognitive Services are a new collection of intelligence and knowledge APIs that enable developers to ultimately build smarter apps. NOTES: key concepts we are trying to convey in this above statement: That we are bringing together Intelligence (Oxford) and Knowledge from the corpus of the web (Bing) That cognitive = human perception and understanding, enabling your apps to see the world around them, to hear and talk back with the users—to have a human side. What are Microsoft Cognitive Services? Microsoft Cognitive Services is a new collection of intelligent APIs that allow systems to see, hear, speak, understand and interpret our needs using natural methods of communication. Developers can use these APIs to make their applications more intelligent, engaging and discoverable. To try Cognitive Services for free, visit www.microsoft.com/cognitive. With Cognitive Services, developers can easily add intelligent features – such as emotion and sentiment detection, vision and speech recognition, knowledge, search and language understanding – into their applications. The collection will continuously improve, adding new APIs and updating existing ones. Cognitive Services includes: Vision: From faces to feelings, allow apps to understand images and video Speech: Hear and speak to users by filtering noise, identifying speakers, and understanding intent Language: Process text and learn how to recognize what users want Knowledge: Tap into rich knowledge amassed from the web, academia, or your own data Search: Access billions of web pages, images, videos, and news with the power of Bing APIs
- Computer vision API to create human readable captions for the content of an image uploaded to a bot Like CaptionBot.ai – a bot that reports back in human way the contents of an image 2. A bot to authenticate users using a voiceprint by leveraging the Speech APIs Authentication as a user speaks to the bot with a speaker verification profile or “voiceprint” Using the LUIS (Language Understanding Intelligent Service) API, a bot can recognize the intent of a user LUIS analysis for queries such as “What is the weather in Toyko today?” using entities to parse out intent (what the user is asking for) 4. Knowledge APIs can give a bot the ability to recommend products frequently bought together based on our knowledge and/or a user’s history Also, Knowledge could search through a graph database to return relevant academic papers from a natural language query 5. The Autosuggest API from Search can ease the burden of typing queries to a web search bot Search also has other capabilities such as returning the latest trending news on a topic for example
- In an application where the main UI is human language, these APIs can be a huge help, and can be the difference between a bot and a GREAT bot Understanding users intent and extracting entities Understanding the sentiment of a conversation Speaking to users regardless of their language
- Building a bot
- HER -love -multiple levels of AI -gaming AI -AI’s potential for psychological well-being
- AI filling a human need to feel connected From The Times: She is known as Xiaoice, and millions of young Chinese pick up their smartphones every day to exchange messages with her, drawn to her knowing sense of humor and listening skills. People often turn to her when they have a broken heart, have lost a job, or have been feeling down. They often tell her, “I love you.”