Opportunities in Artificial Intelligence
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The document discusses the impact of exponential technology advancements, particularly in artificial intelligence (AI), highlighting the differences between strong AI and weak AI. It emphasizes how AI, similar to electricity, is transforming cognitive operations and increasing productivity by incorporating intelligence into tools. Additionally, it suggests evaluating the sustainability of businesses based on their influence on AI development.
Opportunities in Artificial Intelligence
- 1. REAKTOR www.reaktor.com Opportunities in Artificial Intelligence Finland's Sustainable Investment Forum Annual Seminar, October 2016 Olof Hoverfält, Reaktor
- 2. 2 REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT EXPONENTIAL TECHNOLOGY ADVANCEMENT Root driver: exponential technology advancement Exponential improvement Linear improvement Disruption Time Performance
- 3. 3 Innovation across industries can be profoundly disruptive REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT EXPONENTIAL TECHNOLOGY ADVANCEMENT
- 4. 4 Innovation across industries can be profoundly disruptive REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT Tesla Model X drivetrain Audi Q5 hybrid quattro drivetrain EXPONENTIAL TECHNOLOGY ADVANCEMENT
- 5. 5 Artificial Intelligence types REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT Strong AI Weak AI “Artificial general intelligence (AGI) is the intelligence of a (hypothetical) machine that could successfully perform any intellectual task that a human being can.” “Weak AI is non-sentient artificial intelligence that is focused on one narrow task” ARTIFICIAL INTELLIGENCE vs
- 6. 6 REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT Strong AI
- 7. 7 REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT ARTIFICIAL INTELLIGENCE Artificial superintelligence and technological singularity
- 8. 8 REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
- 9. 9 REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
- 10. 10 REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
- 11. 11 REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT Weak AI
- 12. 12 What colour is next? REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT ARTIFICIAL INTELLIGENCE ?
- 13. 13 What time is James likely to return from work on Friday? REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT ARTIFICIAL INTELLIGENCE ?
- 14. 14 Which person do you think might like the red bag? REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT ARTIFICIAL INTELLIGENCE ? A B
- 15. 15 What connects these images? REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT ARTIFICIAL INTELLIGENCE
- 16. 16 The human brain is a master of pattern recognition REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT ARTIFICIAL INTELLIGENCE
- 17. 17 Pattern recognition is one central problem in AI REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT ARTIFICIAL INTELLIGENCE
- 18. 18 REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT Machine learning
- 19. 19 Machine learning REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT ARTIFICIAL INTELLIGENCE Adil Moujahid, June 2016: http://adilmoujahid.com/posts/2016/06/introduction-deep-learning-python-caffe/
- 20. 20 Machine learning REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT ARTIFICIAL INTELLIGENCE Adil Moujahid, June 2016: http://adilmoujahid.com/posts/2016/06/introduction-deep-learning-python-caffe/
- 21. 21 Neural networks and Deep learning REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT ARTIFICIAL INTELLIGENCE Adil Moujahid, June 2016: http://adilmoujahid.com/posts/2016/06/introduction-deep-learning-python-caffe/
- 22. 22 Neural networks and Deep learning REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT ARTIFICIAL INTELLIGENCE
- 23. 23 REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
- 24. 24 Neural networks and Deep learning REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT ARTIFICIAL INTELLIGENCE
- 25. 25 REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
- 26. 26 REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT ARTIFICIAL INTELLIGENCE Natural language processing
- 27. 27 REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT ARTIFICIAL INTELLIGENCE Natural language processing
- 28. 28 REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT ARTIFICIAL INTELLIGENCE Computer vision and visual recognition
- 29. 29 REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT ARTIFICIAL INTELLIGENCE Complex combinations
- 30. 30 REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
- 31. 31 REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT IMPLICATIONS OF AI + The first major improvement in work productivity was adding power to existing tools
- 32. 32 REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT Initially, power had to be produced centrally IMPLICATIONS OF AI
- 33. 33 Commoditised energy democratised production REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT Human power Distributed but inefficient Central power source Efficient but centralised Commoditised power Distributed and efficient IMPLICATIONS OF AI
- 34. 34 Today, power is ubiquitous REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT IMPLICATIONS OF AI
- 35. 35 Enabling easily adding power to any tool imaginable REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT IMPLICATIONS OF AI
- 36. 36 REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT + The next major improvement in work productivity is adding intelligence to existing tools IMPLICATIONS OF AI
- 37. 37 Initially, intelligence had to be produced centrally REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT IMPLICATIONS OF AI
- 38. 38 Commoditised AI is democratising innovation REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT Human intelligence Centralised AI Distributed AI IMPLICATIONS OF AI
- 39. 39 Today, AI is becoming ubiquitous REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT IMPLICATIONS OF AI Intelligence
- 40. 40 Enabling any tool to be connected to intelligence REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT Intelligence IMPLICATIONS OF AI
- 41. 41 REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT Artificial intelligence is doing to cognitive operation what electricity did to physical labor IMPLICATIONS OF AI
- 42. 42 REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT As a result, less human intervention is needed in execution IMPLICATIONS OF AI
- 43. 43 REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT This pushes us to rise to higher levels of human contribution IMPLICATIONS OF AI
- 44. 44 REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
- 45. 45 REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT To understand the potential long-term impact of AI, we should look beyond its current applications and focus on what the underlying advancing technology fundamentally enables. SUMMARY
- 46. 46 REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT In evaluating the sustainability of a business, it may be wise to look at wether the company accelerates this development or tries to delay it. SUMMARY
- 47. 47 REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT @Hoverfalt LET’S CHAT!