future of artificial intelligence - fujitsu · machine learning patents across use cases text...
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FUTURE OF ARTIFICIAL INTELLIGENCE Andrew Trabulsi June 2015
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What are the major investment trends?What’s the IP landscape look like?What’s coming next?
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Where’s the money going?
4 Source: Capital IQ, Quid, i f t f
Funding—where are we?Private investment growing rapidly, M&A peaked in 2012
02,0004,0006,0008,000
10,00012,00014,00016,00018,00020,000
2010 2011 2012 2013 2014 2015*
Past five years of funding into artificial intelligence ($mn)
M&A
Private Investment
5 Source: Capital IQ, Quid, i f t f
How’s the market shaping up?Key investment areas since 2010
Cybersecurity !
Medical 10%
MapReduce 9%
NLP 9%
Ads 8%
ERP 8%
Robotics 7%
Shopping 7%
Computer Vision 6%
Market Composition
MapReduce !
Natural Language !Processing !
Medical !
Cancer diagnostics !Recruiting !
Robotics !
Computer Vision !
Music !
Personal Assistant !
News Analysis !
Ads !
Shopping !
Financial services !
Enterprise Resource !Planning !
6 Source: Capital IQ, Quid, i f t f
Where’s it going?Notable private investments and M&A deals since 2010
Quid, Inc.ColdLight Solutions, LLCDatabricks, Inc.
Bright Media Corp.Antuit Pte. Ltd.
Equivio, Ltd.Sentient Technologies, LLCDeep Mind Technologies, Ltd.
$49mn —— $105mn
$54mn —— $120mn
$59mn —— $200mn
$104mn —$400mn
Private M&A
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But what are they doing with all this money?
8 Source: Thomson Reuters, Quid, i f t f
Patent development is taking offOver 7x growth in IP development from 2004 - 2013
0
50
100
150
200
250
300
350
400
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
Previous ten years of patent filings
Machine Learning Patents
Source: Thomson Reuters, Quid, i f t f
The IP ecosystem is diverseMachine Learning patents across use cases
Text Classification !
Text Classification 11%
Customer Analytics 11%
Querying Methods 8%
Medical Diagnostics 7%
Data Mining 7%
Cybersecurity 6%
MRI Analysis 6%
Facial Recognition 4%
IP Deconstruction
Social Network !Analysis !
Natural Language !Processing !
Video Analysis!
Molecular Analysis ! Querying Method !
Querying Method !
Personal Assistant !
Customer Analytics !
Cybersecurity !
Data Protection !
Semiconductors !
Data Mining !
Neural Network !
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10 Source: Thomson Reuters, Quid, i f t f
…But held by only a few playersIntellectual property not predominantly held by start-ups
MicrosoftIBMYahoo
GoogleNippon Telegraph & Telephone Corp
Hewlett-PackardBehavioral Recognition Systems, Inc.Qualcomm
Patents held %140 9%90 6%59 4%49 3%34 2%28 2%24 1.5%20 1%
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What’s next?
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Combinatorial InnovationWon’t be just single technology or use case that changes game
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Combinatorial InnovationWon’t be just single technology or use case that changes game
14 Source: Thomson Reuters, Quid, i f t f
Revisiting our patent analysisOver 7x growth in IP development from 2004 - 2013
0
50
100
150
200
250
300
350
400
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
Previous ten years of patent filings
Machine Learning Patents
15 Source: Thomson Reuters, Quid, i f t f
It’s really a much bigger story…IP development across use cases 2004 - 2013
0
100
200
300
400
500
600
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
Previous ten years of patent filings
Automated Judgement Patents
Machine Learning Patents
16 Source: Thomson Reuters, Quid, i f t f
Innovations build on top of each otherIP development across use cases 2004 - 2013
0
200
400
600
800
1000
1200
1400
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
Previous ten years of patent filings
Computer Vision Patents
Automated Judgement Patents
Machine Learning Patents
17 Source: Thomson Reuters, Quid, i f t f
To create a wide range of opportunitiesIP development across use cases 2004 - 2013
0200400600800
100012001400160018002000
2004 2005 2006 2007 2008 2009 2010 2011 2012 2013
Previous ten years of patent filings
Neural Network Patents
Computer Vision Patents
Automated Judgement Patents
Machine Learning Patents
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Innovations overlap with one another. It won’t just be advances in a single field that change the world or imp-act our daily lives. It will be combinations of advances,
across fields, that do. Understanding this, helps put to-day’s innovations into perspective for tomorrow.
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Thank you!