Data Science Week 2016. Inten.to. "Мессенджеры и персональные...
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Transcript of Data Science Week 2016. Inten.to. "Мессенджеры и персональные...
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Messengers, Bots and Personal Assistants
Konstantin Savenkov, CEO Intento
Data Science Week, Moscow,2016
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Top options for any Data Scientist in 2016
1.
2. do something else
Data Science Week, Moscow,2016
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Three trends to track
1. The rise of Chat Bots
2. Personal Assistants
3. API / Micro-services
IntelligentApps
More stuffaccessibleto 3rd partysoftware
Data Science Week, Moscow,2016
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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
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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
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Are chatbots any good?NOT when they are trying to implement GUI browsing via chat dialog
Data Science Week, Moscow,2016
YES when 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
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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
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Trend III: API / Micro-services
Service Provider
WWW
3rd partyappAPI
• API Management market CAGR 22% (Forrester)• Google just bought Apigee for $625M
Data Science Week, Moscow,2016
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Web sit
es
Web ap
ps
Native
apps
Chat b
ots
Person
al
assis
tants
IoT
Interface apps Intelligent apps
App Evolution
Robots
(enable to do smth.) (enable to avoid doing smth.)
Data Science Week, Moscow,2016
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Dumb app Intelligent app
Menu Waiter
Data Science Week, Moscow,2016
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Intelligent App
Terminal
NLP/NLU
Reasoning
Service platform
Data Science Week, Moscow,2016
Data Science Chalenges:
• Understand natural language
• Infer context
• Take decisions
• Cooperate
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Terminals• Chat and assistant terminals
• Connector services • Microsoft Bot Framework • API.ai • message.io
Data Science Week, Moscow,2016
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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
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Reasoning
• Alexa Skill Kit: set of sample queries -> provided API
• Viv: Automatic synthesis of the intent fulfilment pipeline
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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
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http://venturebeat.com/2016/08/11/introducing-the-bots-landscape-170-companies-4-billion-in-funding-thousands-of-bots/
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Chat bots vs. Assistants
Data Science Week, Moscow,2016
Chatbot paradigm: dumb terminals clever services
Personal Assistant paradigm:
clever terminals dumb services
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