1. People for the Data Andreas Weigend Naver | Seoul | 2019.01.07
Cut to the key

2. The Day after the Trump Election
10 Nov 2016

3. 22 Aug 2018
First Meeting of Digitalrat

5. Outline Exponential Technologies The ABC of Amazon
Data Rights (f0r Consumers)
Data Rules (for Companies)
The Future
Cut to the key

6. Data poor
Vater
Mathe und Physik

7. Data rich
Vater
Mathe und Physik
CERN, 1986

8. google.com/history
15,317 searches

9. 1970’s: Building Computers 1980’s: Connecting Computers
1990’s: Connecting Pages
2000’s: Connecting People
2010’s: Connecting Data
2020’s: Connecting Sensors
Google – learning from data OTHERS created
Facebook:
Appstore: recombining, mashing up data form data Like a refinery
Ok, so what’s the point?
Reaching knowledge? Reaching wisdom?

10. Data
10^9
10^3
1974
2004

11. Data factor of 10^6 over 30 years
corresponds to
factor of 10 every 5 years
10^9
transistors
on a chip
log axis
10^3
1974
2004

12. AI
10^3
syncedreview.com/2018/05/17/ai-doubling-its-compute-every-3-5-months
10^-3
2012
2018

13. AI factor of 10^6 over 6 years
corresponds to
factor of 10
every year
10^9
Gigaflops
per day
log axis
10^3
2012
2018

14. Amout (linear axis) AI
Data
Time (linear axis)

15. Part 2:
The ABC of Amazon
Cut to the key

16. Algorithms
Belonging
Curiosity
Data
Experimentation
Das ABC fuer mit

17. Learn to answer questions? Learn to ask good questions!
Curiosity
Learn to answer questions?
Learn to ask good questions!
Yo man, you rule!
Rules that help us tame
Why important?
Data is the new oil
Similar
Different
Game changer
Post-privacy economy

18. Data
Amazon Wristband Patent,

19. Part 3: Data Rights for individuals in the post-privacy economy
Yo man, you rule!
Rules that help us tame
Why important?
Data is the new oil
Similar
Different
Game changer
Post-privacy economy

20. Transparency Rights Right to access your data
Right to inspect the refineries
See security risk audit
See privacy burn rate
See return-on-data score

21. Agency Rights Right to amend Right to blur Right to experiment
Right to port

22. Part 4: Data Rules for companies in the post-privacy economy
Yo man, you rule!
Rules that help us tame
Why important?
Data is the new oil
Similar
Different
Game changer
Post-privacy economy

23. Start with a question, not with the data
Undergrads: answer questions
Grads: ask questions
Question for you: What is the value of data
Decisions

24. Start with a question, not with the data
Focus on decisions and actions
“Fitness function”
Amazon specific
Making recommendations is easy
Evaluating recommendations is hard

25. Amazon: Case Goal: Help people make better decisions
Data strategy: Make it trivially easy to
Contribute
Connect
Collaborate

26. Amazon: Recommendations
Manual (Experts)
Implicit (Clicks, Searches)
Explicit (Reviews, Lists)
Situation (Local, Mobile)
Connections (Social graph)
Again, turning costs into profits

27. Amazon: Fitness Function
Expresses your beliefs, mission, values
Needed for the of evaluation of experiments
Write it in terms

28. Start with a question, not with the data
Focus on decisions and actions
Embrace transparency
Internal
External

29. Data Rules Start with a question, not with the data
Focus on decisions and actions
Embrace transparency
Respect and empower your customers

30. Some simple questions
Do your customers understand the value they get when they give you data?
Does your product or service get better over time and with data (or worse)?

31. Some hard questions
Who owns the data? What, actually, is data ownership?
When everything can be measured, what is fairness?

32. Part 5:
The Future
Cut to the key

33. The Future
Do you know where you want to go but do not know how to get there?
Do you not know where you want to go ?

34. the wisdom to know the difference.
Reinhold Niebuhr: Serenity Prayer
Lord, give me
the serenity to accept the things I cannot change,
the courage to change the things I can, and.
the wisdom to know the difference.

35. bit.ly/weigend

36. Utopia?
Dystopia
Utopia

37. Dystopia
Utopia

38. Companies Individual Government Balance of power Ask audience:
Take a company: Amazon
Take a country: United states
In the long run who will survive?

39. Recap Exponential Technologies The ABC of Amazon
Data Rights (f0r Consumers)
Data Rules (for Companies)
The Future
Cut to the key

40. Thank you! Andreas Weigend +1 650 906-5906 +66 87 906-5906
Cut to the key

41. Albert Einstein Not everything that counts can be counted, and
not everything that can be counted counts.