opportunities in artificial intelligence
TRANSCRIPT
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REAKTOR
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Opportunities inArtificial IntelligenceFinland's Sustainable Investment Forum Annual Seminar, October 2016 Olof Hoverfält, Reaktor
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2REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
EXPONENTIAL TECHNOLOGY ADVANCEMENT
Root driver: exponential technology advancement
Exponential improvement
Linear improvement
Disruption
Time
Perf
orm
ance
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3
Innovation across industries can be profoundly disruptive
REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
EXPONENTIAL TECHNOLOGY ADVANCEMENT
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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
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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
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6REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
Strong AI
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7REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
ARTIFICIAL INTELLIGENCE
Artificial superintelligence and technological singularity
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8REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
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9REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
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10REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
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11REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
Weak AI
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12
What colour is next?
REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
ARTIFICIAL INTELLIGENCE
?
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13
What time is James likely to return from work on Friday?
REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
ARTIFICIAL INTELLIGENCE
?
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14
Which person do you think might like the red bag?
REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
ARTIFICIAL INTELLIGENCE
?A
B
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15
What connects these images?
REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
ARTIFICIAL INTELLIGENCE
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16
The human brain is a master of pattern recognition
REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
ARTIFICIAL INTELLIGENCE
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17
Pattern recognition is one central problem in AI
REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
ARTIFICIAL INTELLIGENCE
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18REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
Machine learning
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Machine learning
REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
ARTIFICIAL INTELLIGENCE
Adil Moujahid, June 2016: http://adilmoujahid.com/posts/2016/06/introduction-deep-learning-python-caffe/
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Machine learning
REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
ARTIFICIAL INTELLIGENCE
Adil Moujahid, June 2016: http://adilmoujahid.com/posts/2016/06/introduction-deep-learning-python-caffe/
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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/
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Neural networks and Deep learning
REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
ARTIFICIAL INTELLIGENCE
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23REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
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Neural networks and Deep learning
REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
ARTIFICIAL INTELLIGENCE
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25REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
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26REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
ARTIFICIAL INTELLIGENCE
Natural language processing
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27REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
ARTIFICIAL INTELLIGENCE
Natural language processing
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28REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
ARTIFICIAL INTELLIGENCE
Computer vision and visual recognition
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29REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
ARTIFICIAL INTELLIGENCE
Complex combinations
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30REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
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31REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
IMPLICATIONS OF AI
+The first major improvement in work productivity was adding power to existing tools
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32REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
Initially, power had to be produced centrally
IMPLICATIONS OF AI
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Commoditised energy democratised production
REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
Human powerDistributed but inefficient
Central power sourceEfficient but centralised
Commoditised powerDistributed and efficient
IMPLICATIONS OF AI
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Today, power is ubiquitous
REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
IMPLICATIONS OF AI
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Enabling easily adding power to any tool imaginable
REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
IMPLICATIONS OF AI
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36REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
+The next major improvement in work productivity is adding intelligence to existing tools
IMPLICATIONS OF AI
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Initially, intelligence had to be produced centrally
REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
IMPLICATIONS OF AI
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38
Commoditised AI is democratising innovation
REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
Human intelligence Centralised AI Distributed AI
IMPLICATIONS OF AI
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Today, AI is becoming ubiquitous
REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
IMPLICATIONS OF AI
Intelligence
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Enabling any tool to be connected to intelligence
REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
Intelligence
IMPLICATIONS OF AI
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41REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
Artificial intelligence is doing to cognitive operation
what electricity did to physical labor
IMPLICATIONS OF AI
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42REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
As a result, less human intervention is needed in execution
IMPLICATIONS OF AI
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43REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
This pushes us to rise to higher levels of human contribution
IMPLICATIONS OF AI
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44REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
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45REAKTOR 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
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46REAKTOR 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
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47REAKTOR OCTOBER 2016 — OLOF HOVERFÄLT
@Hoverfalt
LET’S CHAT!
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