 Rudradeb started his career as an Artificial Intelligence (AI) researcher in 2002 and went on to publish 10 research papers on various AI topics. Our topic is «Creating Value With Artificial Intelligence». Rudradeb’s current focus is to make emerging technology of Blockchain, Machine Learning, and IoT more accessible. He has rich experience in entrepreneurship: he built 6 startups in 4 countries. One of the startups in Belgium was on IoT in the transportation sector. He also worked with CEZ, the Czech Republic on user adoption of their smart metering project. Since 2017, he spends most of his time as a writer and speaker. He has been invited to speak at over 30 events in 11 countries.

1. Creating Value with
Artificial Intelligence
Odessa, October 2018
Rudradeb Mitra | AI Entrepreneur, Author and Mentor
http://www.linkedin.com/in/mitrar/

2. Three stories

3. Clean Energy sector in India

4. Growing up in 1980/1990s India....

5. Centralized System

6. How can we electricity for
all?

7. What can we do?

8. But ground facts in India are
different....

9. And so in Odessa....

10. So when we applied image
analysis algorithms we got...

11. What Machine learning can
do?

12. Mapping of rooftops

13. And the Obstacles

14. Output
Fully
connected
pooled
feature maps
pooled
feature maps
feature
maps
feature
maps
Input
image
32x32
Convolutions
6@28x28
Subsampling Convolutions Subsampling
6@14x14 16@10x10 16@5x5
Convolutional Neural
Network

15. The picture above: Some of the results
And results

16. Improving road safety in
Belgium

17. Identify driving patters
• Speed
• Acceleration
• Braking
• Mobile Usage

18. Goals &
challenges Rewards
Use Gamification

19. And results

20. Group bad and good drivers into different
buckets using Machine Learning
Self Organizing Maps
Find patterns in data

21. Self Organizing Maps (unsupervised learning)
0.1
0.3
- Euclidean Distance between
training vector and weights
- The best match node is
selected
- Select neighboring nodes
0.55
0.15
0.31
0.49
Training
Data
0.6
0.9
0.8
0.31
0.610.76
0.11
0.32
0.56
- Adjust weights of
neighboring nodes to match
the weight of the matched
node

22. Clusters of drivers
Picture taken from http://www.ai-junkie.com/ann/som/som1.html

23. Predicting human behavior

24. Puzzle I
Imagine you bought a wine for $20. It now sells for $75. If you
decide to drink the wine, what cost will you assign to the bottle?
1. $0
2. $20
3. $20 + interest
4. $75
5. $-55 (made profit of $55)
Source: Misbehaving: The making of Behavioral Economics by Richard Thaler.

25. Most people said $0 (30%) or $-55 (25%)
Answer for Puzzle I
Source: Misbehaving: The making of Behavioral Economics by Richard Thaler.

26. Puzzle II
Imagine you bought a wine for $20. It now sells for $75. And you
broke the wine bottle, so what cost will you assign to the loss?
1. $0
2. $20
3. $20 + interest
4. $75
5. $-55 (made profit of $55)
Source: Misbehaving: The making of Behavioral Economics by Richard Thaler.

27. Most people said $75
Answer for Puzzle II
Source: Misbehaving: The making of Behavioral Economics by Richard Thaler.

28. Normal people do not behave like economical theory.

29. Machine Learning can model behaviors
Machine Learning algorithms can be used to learn
patterns from data including human behavior without
explicitly being programmed.

30. Get profiles

31. Snapshot

32. Extracted
Features
Q 1
Q 2
Q 3
Q 4
h1
h2
h3
h4
h5
High
Medi
um
Low
INPUT LAYER OUTPUT LAYER

33. Future...

34. Biggest benefits of ML
to people who have been left behind...

35. Community has to come
together

36. Open Source
Development
Closed traditional
Software
Development
Hybrid approach of
Closed Selected
Community following
Open Source
Protocols
Cost Low High Low
IP owned by the
company
No IP on Data or
Code
IP on both Data and
Code
IP on Data but not on
Code
Collecting Data from
Community
Easy Hard Relatively Easy
Trust High Low Relatively High

38. Conclusion

39. Feel free to connect: https://www.linkedin.com/in/mitrar/
mitra.rudradeb@gmail.com

40. Github (product
development platform)
- set up repository
- create issue (tasks)
- align task on Gantt chart
- assign milestones
- assign task to
contributors
- submit pull request
- combine with Travis CI
- code review
- integrate with cloud
services for Continious
Deployment
Community app
- description of the protocol
- learning materials
- open source libraries
- Slack for developer
communication
- Connections binding project,
github issues, client,
contractors
- Client support (not project
management)
- Community experts
Protocols for Decentralized Work