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Transcript
Does Finland have strengths
in Artificial Intelligence?
Finnish Artificial Intelligence competences – An international benchmark
Patent and Technology analysis
Publication Seminar: 24.10.2016 klo 14­16, Airo Island, Viikintie 1, Helsinki
Free for publication on 24.10.2016, 14:00 hours
Artificial Intelligence and Robotics Ry
Hannes Toivanen, Teqmine Analytics Oy
Artificial Intelligence­ Most important emerging technologies
*Projection based on data until 1st of August 2016
Key conclusions and recommendations
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Finnish Artificial Competencies are not sufficient in interational comparison
Finland's status as a pioneer in AI is dissipating
Finnish expertise in AI is narrow and not focussed on future growth areas
Large Finnish companies are investing relatively little in AI technologies – Startups have a critical role
Without strong leadership Finland will not be able to exploit near future business and technology opportunities in AI
Finland needs clear national strategy to advance AI
Why Airo and Teqmine have analyzed the technology and business landscape of AI
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The future competitiveness of Finnish economy and society depends in great degree on AI capabilities
The need of societal and business renewal has been underestimated in Finland
Development of Finland's competitiveness requires determined effort and situation analysis
Finnish ”Digitalization” debate needs concretia and clarity
What is AI and software robotics, and why they matter for Finland?
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Artificial Intelligence is a technology, whereby machines can learn unsupervised or semi­
supervised, often significantly more efficiently than human beings
Artificial Intelligence is the core of Digitalization and Internet of Things, as it adds ”smartness” to things and service
Platform Economy: Disrupts the business logic of industries
Biggest future markets
Competition for global leadership
New and old sources of Innovation
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Finland is dropping in international rankings
South Korea, Israel, Holland, Switzerland and Sweden improve their rankings
*2016 data only until 31.7.2016 Finland and key competitors – Index based change2002­2016
2002=100
*2016 data until 31.7.2016
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Finland is not faring well among key competitor countries Finland has lost status as a pioneer country
In recent years, total patenting increases faster than Finnish patenting
Internet of Things: Application of AI in different technology areas
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AI is rapidly being diffused from traditional computer related areas to new appliation areas
IoT is about AI diffusing to new application areas
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Key future application areas: Management and administration, Sensors and Control, Traffic, Medicine and Health Care, Buildings, Consumer Devises, etc
Globally leading AI firms
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Artificial Intelligence is the centra investment areas for world's largest technology firms
Startups are also important, but the industry is relatively mature
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IoToffers significant growth opportunities for software firms
Competition for leadership is intense
Investments into AI will continue to grow the next 3­5 years
Largest and fastest growing AI application areas
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Technology and Business frontiers of Artificial Intelligence
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Teqmine has divided AI technologies into 25 technology and business areas with its artificial intelligence solutionson Identify key innovation frontiers
How Finland participates in global growth
Wireless Devises, Software and Network Traffic (Topic 16)
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Finnish patenting about. 3­8 patents per year
In Finland practically only Nokia
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Finland does not participate broadly in the globally emerging technology
Global leaders: Microsoft, IBM, Google, AT&T, Nokia
Virtual Reality – User Interfaces, Control, Experience (Topic 1)
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One of the fastest growing new areas
Finnish patenting very small , only 1­3 patents per year
Only one Finnish based inventor and firm resposnible for majority of Finnish inventions (Imerj) •
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Finland does not participate broadly to the global innovation frontier
Global leaders: Microsoft, Samsung, Imerj, Z124, Magic Leap
Smart Vehicles and Traffic (Topic 3)
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Finnish patenting non­existent
Key countries: USA, Canada, Germany, Japan, South Korea, France, UK, Israel
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Future business: Technology not yet mature, and likely to grow significantly in the near term
Global leaders: Google, Boeing, GM, Ford, GE...
Smart Patient and Health Systems (Topic 11)
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Small but growing Finnish area of expertise
Key countries: USA, Canada, Germany, UK, Israel, India, the Netherlands, Switzerland
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Future business: Technology not yet mature, and likely to grow significantly in the near term
Global leaders: IBM, Cognitive Scale, GE, Siemens Medical, Philips
Finnish special challenges
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Exploitation of AI opportunities requires more effort from Finnish industry
Finnish capabilities in Artificial Intelligence is are smaller than anticipated
Finland is not participating sufficiently in globally significant AI innovation frontiers
Finland risks losing its international competitiveness in AI
AI expertise in Finland is very concentrated – A comparison with Sweden
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Nokia and IMERJ are responsible for the majority of inventions in Finland
About 90 Finnish have applied for AI patent at the USPTO
Startups are an important applicant group in Finland
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Swedish inventions come from a broad base
About 110 Swedish firms ave applied for AI patent at the USPTO
Large firms are an important and key applicant group in Sweden
Expertise Profile of Sweden and Finland
Swedish AISweden
Patenting 2013-2015
Finland
Computer technology
Measurement
Audio-visual technology
IT methods for
management
Medical technology
Electrical machinery,
apparatus, energy
Swedish and Finnish AI patents in key
techology main groups 2014-2016
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Expertise profiles are not too different, but
Swedish expertise is more broadbased: Measurement, Biotechnology, Medical technology, Transport
Digital communication
Control
Telecommunications
Biotechnology
Transport
Pharmaceuticals
Conclusions and Recommendations
Conclusions
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Artificial Intelligence technology and Business are growing rapidly
New Verticals, that is specialized application areas are important nexuses for rapid growth
Nokia has made Finland into a pioneer of AI, but this advantage is disappearing
Finnish AI expertise is narrow. Dismantling of Nokia depencey requires special actions. The prospects of Finnish firms for future business in AI are weakened by the strong positions gained by international competitors
Startups are important for Finnish AI expertise and large firms (excl. Nokia) are too careful about investing in the area
Recommendations
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Instead of national debate, concrete actions are needed. A national AI strategy is needed.
Actions must facilitate the creation of AI expertise and skills to apply AI in emerging business areas
Finland must become global leader in AI
Public policies must be revised, but of critical importance is new strategy by the leading Finnish industries
Top management of the largest Finnish companies must recognize AI based future business opportunities more clearly
Startups and large firms must cooperate more in AI
Authors and Contact details
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Hannes Toivanen is the CEO of Teqmine Analytics Ltd. He has previously worked as Principal Scientist at VTT Technical Reserch Centre of Finland. He has received his Ph.D from the Georgia Institute of Technology 2004. Email. [email protected]
Tel. +358 50 400 2947
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Teqmine Analytics Ltd is 2013 established AI startup whose solutions disrupt invention processes and management of technology information. www.teqmine
Artificial Intelligence and Robotics – Airo Island ry is an association with the purpose to advance Finnish robotics and AI innovation ecosystem, as well as to facilitate public debate on their application.
CEO Nicholas Andersson
Email: [email protected]
Tel. +358 40 501 6505
Technical Annex 1. Data and methods
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Data: United States Patents and Trademark Office patent data. All first time publications since 1.1.1990. All first time granted patents (kind A) for the period 1.1.1990­31.12.2001, and all first time published patent applications or grants without prior publications for the period 1.1.2002­31.7.2016 (kind A1, B1).
TEQMINE APPROACH
STAGE 1
7 million USPTO patents text­mined for "artificial intelligence", "learning algorithm", "machine learning", "unsupervised learning", "neural network", "self­organizing map", "self­
organizing feature map", "kohonen map" in patent full­text. All records not classified in IPC main category “H” or “G” removed.
Data 1.1.1990­31.7.2016. Records: 73,220
STAGE 2
Verification of map focus
Records from Stage 1 clustered into 25 Topics using Artificial Intelligence. STAGE 3
Verification of data and results.
STAGE 4
High accuracy identification of Client interest areas. Network visualization of patent landscape and final analysis.
Online­Results and Tools
Analysis and Reporting
Technical Annex 2. Statistics Suurimmat tekoälymaat keksijöiden mukaan
KIITOS!