My talk on the Bot and Assistant ecosystem at Data Science Week 2016.

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

16. http://venturebeat.com/2016/08/11/introducing-the-bots-landscape-170-companies-4-billion-in-funding-thousands-of-bots/

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