REAKTOR

www.reaktor.com

Opportunities inArtificial IntelligenceFinland's Sustainable Investment Forum Annual Seminar, October 2016 Olof Hoverfält, Reaktor

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EXPONENTIAL TECHNOLOGY ADVANCEMENT

Root driver: exponential technology advancement

Exponential improvement

Linear improvement

Disruption

Time

Perf

orm

ance

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Innovation across industries can be profoundly disruptive

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EXPONENTIAL TECHNOLOGY ADVANCEMENT

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Innovation across industries can be profoundly disruptive

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Tesla Model X drivetrain Audi Q5 hybrid quattro drivetrain

EXPONENTIAL TECHNOLOGY ADVANCEMENT

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Artificial Intelligence types

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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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Strong AI

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ARTIFICIAL INTELLIGENCE

Artificial superintelligence and technological singularity

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Weak AI

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What colour is next?

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ARTIFICIAL INTELLIGENCE

?

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What time is James likely to return from work on Friday?

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ARTIFICIAL INTELLIGENCE

?

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Which person do you think might like the red bag?

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ARTIFICIAL INTELLIGENCE

?A

B

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What connects these images?

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ARTIFICIAL INTELLIGENCE

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The human brain is a master of pattern recognition

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ARTIFICIAL INTELLIGENCE

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Pattern recognition is one central problem in AI

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ARTIFICIAL INTELLIGENCE

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Machine learning

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Machine learning

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ARTIFICIAL INTELLIGENCE

Adil Moujahid, June 2016: http://adilmoujahid.com/posts/2016/06/introduction-deep-learning-python-caffe/

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Machine learning

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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

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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

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ARTIFICIAL INTELLIGENCE

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Neural networks and Deep learning

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ARTIFICIAL INTELLIGENCE

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ARTIFICIAL INTELLIGENCE

Natural language processing

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ARTIFICIAL INTELLIGENCE

Natural language processing

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ARTIFICIAL INTELLIGENCE

Computer vision and visual recognition

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ARTIFICIAL INTELLIGENCE

Complex combinations

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IMPLICATIONS OF AI

+The first major improvement in work productivity was adding power to existing tools

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Initially, power had to be produced centrally

IMPLICATIONS OF AI

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Commoditised energy democratised production

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Human powerDistributed but inefficient

Central power sourceEfficient but centralised

Commoditised powerDistributed and efficient

IMPLICATIONS OF AI

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Today, power is ubiquitous

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IMPLICATIONS OF AI

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Enabling easily adding power to any tool imaginable

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IMPLICATIONS OF AI

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+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

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IMPLICATIONS OF AI

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Commoditised AI is democratising innovation

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Human intelligence Centralised AI Distributed AI

IMPLICATIONS OF AI

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Today, AI is becoming ubiquitous

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IMPLICATIONS OF AI

Intelligence

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Enabling any tool to be connected to intelligence

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Intelligence

IMPLICATIONS OF AI

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Artificial intelligence is doing to cognitive operation

what electricity did to physical labor

IMPLICATIONS OF AI

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As a result, less human intervention is needed in execution

IMPLICATIONS OF AI

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This pushes us to rise to higher levels of human contribution

IMPLICATIONS OF AI

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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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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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@Hoverfalt

LET’S CHAT!

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