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Data Science Week 2016. Inten.to. "Мессенджеры и персональные ассистенты"
- 1. Messengers, Bots and Personal Assistants Konstantin Savenkov, CEO Intento Data Science Week, Moscow,2016
- 2. Top options for any Data Scientist in 2016 1. 2. do something else Data Science Week, Moscow,2016
- 3. Three trends to track 1. The rise of Chat Bots 2. Personal Assistants 3. API / Micro-services Intelligent Apps More stuff accessible to 3rd party software Data Science Week, Moscow,2016
- 4. Trend I: The rise of chat bots • 2015: More people in messengers than in social networks, more time spent in messengers on mobile than in web and social networks combined. • Businesses: follow the audience, need tools • Messengers: want to earn money without hurting the audience • Chat bots: an attempt to turn a messenger into a smartphone / browser etc ? Data Science Week, Moscow,2016
- 5. Trend I: The rise of chat bots Data Science Week, Moscow,2016 2014 2015 2016 (apps, not bots) NDA (apps, not bots) Some scepticism: a lot of money invested low to none revenues low user adoption
- 6. Are chatbots any good? NOTwhen they are trying to implement GUI browsing via chat dialog Data Science Week, Moscow,2016 YESwhen they can operate based on a limited input, just like we humans 100 011011001 101001001001000 110010100001 10110 •GUI-over-Chat is no better than PPP-over-Voice •e.g. replace existing services with chat interfaces: concierge, receptionist, waiter, psychoterapist, customer support, assistant etc
- 7. manual Trend II: Personal Assistants • Another way to be as close to users as possible, and to control his consumer behaviour • The next best option after a hardware-locked app ecosystem, which may be obsolete soon enough Data Science Week, Moscow,2016 2011 2015 20162012 2013 2014
- 8. Trend III: API / Micro-services Service Provider WWW 3rd party app API • API Management market CAGR 22% (Forrester) • Google just bought Apigee for $625M Data Science Week, Moscow,2016
- 9. W eb sites W eb apps N ative apps C hatbots Personal assistants IoT Interface apps Intelligent apps App Evolution Robots (enable to do smth.) (enable to avoid doing smth.) Data Science Week, Moscow,2016
- 10. Dumb app Intelligent app Menu Waiter Data Science Week, Moscow,2016
- 11. Intelligent App Terminal NLP/NLU Reasoning Service platform Data Science Week, Moscow,2016 Data Science Chalenges: • Understand natural language • Infer context • Take decisions • Cooperate
- 12. Terminals • Chat and assistant terminals • Connector services • Microsoft Bot Framework • API.ai • message.io Data Science Week, Moscow,2016
- 13. NLP/NLU Data Science Week, Moscow,2016 • IBM Watson Language Services • Microsoft Cognitive Services LUIS • Google Natural Language API • WIT.ai • API.ai • angel.ai
- 14. Reasoning • Alexa Skill Kit: set of sample queries -> provided API • Viv: Automatic synthesis of the intent fulfilment pipeline
- 15. Service Platforms • Manual: Google Now / Assistant • Crowdsourced: Amazon Alexa Skill Kit, Apple Siri Kit, Viv + a lot in verticals (hotels, taxi etc) • Automatic: Intento (coming soon) Data Science Week, Moscow,2016
- 17. Chat bots vs. Assistants Data Science Week, Moscow,2016 Chatbot paradigm: dumb terminals clever services Personal Assistant paradigm: clever terminals dumb services • • • •• • • • • •
- 18. Q&A Konstantin Savenkov CEO Intento <ks@inten.to> Data Science Week, Moscow,2016