future watch: china's digital landscape and rising disruptors - module 2.6 artificial...
TRANSCRIPT
OTSIKKOALAOTSIKKO, KUUKAUSI VUOSI
CHINA’S DIGITAL LANDSCAPE AND RISING DISRUPTORSMODULE 2.6 ARTIFICIAL INTELLIGENCE
AUTHORS
Dr. Edward TseFounder and CEO
Team Finland Future Watch Report, August 20172
Mr. Bill RussoManaging Director and Auto Practice Lead
Mr. Alan ChanSenior Consultant
Artificial Intelligence
TOPICS
Team Finland Future Watch Report, August 20173
1. WHAT IS AI? WHY NOW?2. CHINA’S AI STATUS AND INNOVATORS3. FUTURE OPPORTUNITIES AND IMPLICATIONS FOR TEAM FINLAND
Artificial Intelligence
How to define “intelligence”?Can machines be “intelligent”?
Team Finland Future Watch Report, August 20174
WHAT IS AI? (1/2)
Source: Literature research, Gao Feng analysis
Artificial General Intelligence (Strong AI)
Human-level intelligence across the board
A machines that can perform any intellectual task that human can
Ability to reason, plan, solve problems, think abstractly, comprehend complex ideas, learn quickly, and learn from experience
Artificial Super Intelligence (ASI)
“An intellect that is much smarter than the best human brains in practically every field, including scientific creativity, general wisdom and social skills.”
Independent world view and values
Artificial Narrow Intelligence (Weak AI)
Specializes in narrow applications only
First definition of AI
By John McCarthy, Professor, Dartmouth College, 1956
“Every aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it”
Modern definition
The science and engineering of "intelligent agents“ -any device that perceives its environment and takes actions that maximize its chance of success at some goal
Path to Artificial Super Intelligence
Defining AI
Singularity? What AI can/can’t do?
Artificial Intelligence
Team Finland Future Watch Report, August 20175
WHAT IS AI? (2/2)
Source: Waitbutwhy, Rapidminer, Literature research, Gao Feng analysis
Artificial Intelligence
Any technique which enables computers to mimic human behavior
Machine Learning
Subset of AI techniques which use statistical methods to enable machines to recognize patterns and improve with experiences
Deep Learning
Subset of ML which uses complex neural networks to make the computation of multi-layer neural networks feasible
Understanding the key terminologiesThree key layers of AI
Applications
Industrial robots, chat bots, fintech, smart healthcare, autonomous driving, smart home appliances, etc.
Core Technologies
Computer vision, speech recognition, natural language processing, machine learning, deep learning, etc.
Infrastructure
Data, sensors, biometrics, graphics processor chips, cloud computing
What does it mean to your industry?
Artificial Intelligence
Team Finland Future Watch Report, August 20176
AI IS DISRUPTING INDUSTRY BY INDUSTRY
Source: Gao Feng analysis
Go game
Texas Hold’em Poker
Automotive
Healthcare FinTech
Many more…
“AI will transform industries just as electricity transformed almost everything 100 years ago”
Andrew Ng,Former chief scientist at Baidu, founder of Courseraand Google Brain
AI is not a futuristic concept and many
practical AI applications are already available
today, such as Facebook newsfeed, Google search results, Amazon product
recommendations, LinkedIn Ads, iPhone siri, photo-editing/tagging…
etc.
Artificial Intelligence
Team Finland Future Watch Report, August 20177
AI HAS A LONG HISTORY OF BEING “THE NEXT BIG THING”…
Augmented Reality (AR)
Source: Literature review, Gao Feng analysis
1950 1956 1974 19931980 1987 Time
Birth
Inflated Hype
AI winter I
New Hopes
AI winter II
Explosive Growth
Popularity
Timeline of AI Development
1950s-1960s: First AI boom - the age of reasoning, prototype AI developed
1970s: AI winter I
1980s-1990s: Second AI boom: the age of Knowledge representation (appearance of expert systems capable of reproducing human decision-making)
1990s: AI winter II
1997: Deep Blue beats Gary Kasparov
2006: University of Toronto develops Deep Learning
2011: IBM’s Watson won Jeopardy
2016: Go software based on Deep Learning beats world’s champions
Artificial Intelligence
Team Finland Future Watch Report, August 20178
... BUT THIS TIME IS DIFFERENT
Augmented Reality (AR)
Source: Wired, Gao Feng analysis
1. Cost-effective High Performance Computing Graphics Processing Units (GPUs) (and Tensor Processing
Units): Discovery of using GPUs (originally used for generating computer graphics in video games) to build and run parallel neural networks, the primary architecture of AI software
2. Better Algorithms Breakthrough developments
in Artificial Neural Networks (ANN) – to model the network of nerve cells in a human brain on a computer
3. Abundance of Data Massive databases, self-
tracking, web cookies, online footprints, terabytes of storage, decades of search results, Wikipedia, etc. as raw materials to train learning machines
Artificial Intelligence
Team Finland Future Watch Report, August 20179
YET, THERE ARE MIXED VIEWS TOWARDS THE FUTURE OF AI
Source: Literature research, Gao Feng analysis
"The development of full artificial intelligence could spell the end of the human race."
-- Stephen Hawking
“I think we should be very careful about AI. If I had to guess at what our biggest existential threat is, it’s probably that.”
-- Elon Musk
“There could be a race of killer robots in the far future, but I don’t work on not turning AI evil today for the same reason I don't worry about the problem of overpopulation on the planet Mars”
-- Andrew Ng
“All new technologies present the possibility for misuse. AI is no different. And even technologies that are a clear net positive for humanity have negative side effects that should be understood and dealt with thoughtfully.”
-- Astro Teller
“It seems probable that once the machine thinking method had started, it would not take long to outstrip our feeble powers… They would be able to converse with each other to sharpen their wits. At some stage therefore, we should have to expect the machines to take control.”
-- Alan Turing
Neither hyped nor alarmed, we should carefully examine the new economic opportunities and the threats brought by AI; the development of AI must address the risk of potential misuse and widening inequalities
Artificial Intelligence
TOPICS
Team Finland Future Watch Report, August 201710
1. WHAT IS AI? WHY NOW?2. CHINA’S AI STATUS AND INNOVATORS3. FUTURE OPPORTUNITIES AND IMPLICATIONS FOR TEAM FINLAND
Artificial Intelligence
Team Finland Future Watch Report, August 201711
CHINA WILL BECOME A MAJOR DRIVING FORCE OF THE NEXT AIREVOLUTION
Augmented Reality (AR)
Source: 36Kr, iiMedia, Gao Feng analysis
10.2
6.3
3.72.1
1.1
63%69%
94%
108%
0
5
10
15
20
25
30
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
100%
110%
202220212018 2019
77%
2020
YoY Growth Rate Market Size
China AI Market Size2018E-2022E, USD BnUSD Bn %
83
132
136
160
173
228
233
366
709
2,905
Switzerland
Spain
France
UK
China
US
Germany
Israel
Canada
India
Total Number of AI companiesUnit: Thousands, 2016
Artificial Intelligence
Team Finland Future Watch Report, August 201712
CHINA HAS THREE UNIQUE ADVANTAGES TO BECOME A GLOBAL LEADER IN AI
Augmented Reality (AR)
Source: Literature research, Gao Feng analysis
AI-related policies: 13th Five-year Plan (March 2015), Internet Plus, Made in China 2025 (May 2016), Robotics industry Development Plan (April 2016), Three-year Guidance for Internet Plus AI Plan (May 2016)
March 2017 – China’s highest national meeting included AI in the Government Work Report for the first time
Vast data gold mine from over 730M of online population
Tencent’s WeChat has almost 940 million users worldwide and Alibaba Group has more than 420 million active buyers on Taobao
Chinese patent applications in the AI segment grew to 8,410 between 2010 and 2014, a 186% increase from the previous 5-year period between 2005 and 2009
China has a large pool of young mathematics, science and engineering graduates
Abundance of funding
Big data Innovation Ecosystem Government Push
Artificial Intelligence
Team Finland Future Watch Report, August 201713
CHINA HAS LEAPFROGGING DEVELOPMENT IN TERMS OF AI RESEARCH AND DEVELOPMENT
Source: 36Kr, SCImago Journal Rank 2015, Vertex, Washington Post, Wuzhen Institute, Gao Feng analysis
Global AI citation ranking By number of AI publications cited
2015
637 692388
424
444 200237
267199
1,487
504
UKChina
2,124
Spain
588
India
643
US
1,116
Self-citations
Other citations
Journal articles cited at least once, mentioning “deep learning” or deep neural network”
2015
The no. of academic research papers published in China in the field of deep learning exceeded the US
China is ranked first for absolute AI citations and third based on publication influence
Artificial Intelligence
Team Finland Future Watch Report, August 201714
AI DEVELOPMENT IN CHINA IS CURRENTLY FOCUSING ON A FEW MAJOR PRACTICAL APPLICATIONS
Augmented Reality (AR)
Source: 36Kr, Gao Feng analysis
Others
6%Data services
3%Vertical applications
3%E-commerce
3%Fintech4%
Smart Education 4%
Personal Assistant 4%
Smart Home 5%
Machine Learning6%
Smart Driving
6%
Smart Health
7%
Natural Language Processing
11%
Service Robotics20%
Computer Vision
21%
Distribution of China AI Start-ups, 2017 Investment received in China by segmentAccumulated sum, 2017 Jan, RMB Bn
0.60.7
0.8
1.6
2.0
2.8
Smart Driving
Smart Security
Smart Home
Computer Vision
RoboticsNatural Language Processing
China’s AI start-ups are focusing
on a few key applications
China’s AI–related investments are also very focused on a few areas of specialization
Artificial Intelligence
Team Finland Future Watch Report, August 201715
AS A DIGITAL-SAVVY SOCIETY, THERE IS A RELATIVE HIGH CONSUMER AWARENESS OF AI IN CHINA
Augmented Reality (AR)
Source: iiMedia Consumer Survey, Gao Feng analysis
47% "So-so"
"Never heard of AI"
"Know little"
6%
20%
"Know AI well"
24%
"Know AI very well"
5%
“How well do you know AI?” “Where do you get to know AI?”
4%
7%
13%
29%
41%
75%Online media
Traditional media
Literatures
Cultural products
Others
Institutional reports
Majority of Chinese consumers are aware of AIChinese consumers learn about the concepts of AI
mostly from online sources
Artificial Intelligence
Team Finland Future Watch Report, August 201716
CHINESE CONSUMERS ARE OPTIMISTIC ABOUT THE FUTURE OF AI AND ARE AWARE OF THE NEED TO NURTURE AND ATTRACT MORE AI TALENTS
Augmented Reality (AR)
Source: iiMedia Consumer Survey, Gao Feng analysis
“Do you think AI has more advantages or disadvantages?”
59% "More advantages"
"No advantages""Equal" 2%2%
"More disadvantages"31%
"No disadvantages"
18%
Chinese consumers are in general very optimistic
about the future of AI
47% "Necessary"
"Not that necessary""No need" 2%2%
"Very necessary"
31%
"No clear view"
18%
“Is it necessary to provide more education on AI?”
Chinese consumers are aware of the AI talent gap
Artificial Intelligence
Team Finland Future Watch Report, August 201717
CHINA’S AI MARKET LANDSCAPE
Source: iiMedia Research, Gao Feng analysis
Sensors
Chips
Industry Data Data Services
Biometrics Cloud Computing
InfrastructureLayer
Core Technology
Layer
Machine Learning Natural Language Processing Computer Vision
Applicationlayer
Industrial Robots Service Robots Smart Health Care Internet Finance
Personal Assistant Smart Security Smart Home Wearables
Precise Marketing Autonomous vehicle Logistics Vertical applications
NOT EXHAUSTIVE
Artificial Intelligence
Team Finland Future Watch Report, August 201718
THERE IS AN EXPANDING POOL OF AI TALENTS IN CHINA
Augmented Reality (AR)
Source: Literature research, Gao Feng analysis
Lu QiGroup President and COO, BaiduFormer Microsoft EVP
In general, Chinese AI scholars are more focused on the pragmatic applications and use cases of AI while their counterparts in the US focus on fundamental research
Zhang TongExecutive Director, Tencent AI labFormer head of BaiduBig Data Lab
Wang GangChief Scientist, Alibaba AI Lab
Wang JunFounder, iCarbonXFormer CEO, Beijing Genomics Institute
Li HangHuawei Noah Ark Lab
Zhao FengCTO and VP for advanced R&D and smart homeHaier
Sun JianChief Scientist, MegviiFormer Partner Research Manager, Microsoft
Yang QiangChair Professor, Dept Head of Computer Science & Engineering, HKUST
Wang HaifengHead of AI Group, Baidu
Zhou JingrenChief Scientist and Vice President of Alibaba Cloud
Ye JiepingPresident, DidiResearch
Yu KaiFounder & CEO, Horizon Robotics
NOT EXHAUSTIVE
Artificial Intelligence
Team Finland Future Watch Report, August 201719
CHINESE TECH GIANTS ARE MAKING BIG BETS TO TAKE LEAD IN THE AI RACE
Source: Literature research, Gao Feng analysis
Baidu Brain, an AI platform with over 60 different AI-enabled services
DuerOS: natural language-based, conversational-based human computing platform, penetrating over 100 home appliance brands
Apollo: open platform for self-driving car solutions
Deep Interest Network: Advanced personalized recommendation engine
DT PAI (Platform of Artificial Intelligence) launched in August 2015
Ali Xiaomi: a virtual personal secretary for shopping and O2O services
Alibaba City Brain: leverage Ali Cloud big data and deep-learning technologies to build 'city brains' in cooperation with Hangzhou and Macau governments
Tencent AI lab: 50 world-class AI scientists, researchers and experts
WeChat-HKUST Joint Lab for pioneering research based on WeChat data
‘Fine Art’ AI: developed by 13 Tencentengineers, defeated high-ranking Japanese Go player Ryo Ichiriki this year
Launched DiDi Labs primarily focusing on AI-based security, advanced service dispatch algorithm, intelligent driving technologies
Huawei Noah’s Ark Laboratory and Berkeley Artificial Intelligence Research (BAIR) formed partnership on development of machine learning, AI and data mining
CASE EXAMPLES
Artificial Intelligence
Team Finland Future Watch Report, August 201720
MOBVOI IS A LEADING AI START-UP FOCUSING ON VOICE RECOGNITION AND NATURAL LANGUAGE PROCESSING IN CHINESE CONTEXT
Augmented Reality (AR)CASE EXAMPLE
Company mission: To define the next generation of human-
machine interaction (HMI) through advanced AI technologies
Ticwatch(Smart Watch)
Ticmirror(In-vehicle
Robot)
Tichome(AI Speaker)
Chinese language recognition
Accurate vertical search
engine
Real-time proactive
search
Semantic analysis
Text-to-speech technology
Services(Applications)
Software(AI Technology)
Hardware(Products)
…
POI recommendation
Real-time traffic alert
Movie ticket booking
Restaurant reservation
Food deliveryHealth
monitor
Use cases Key enablers User experiences
Source: Mobvoi official website, Crunchbase, Gao Feng analysis
Business modelCompany Facts
Founded in October 2012
Raised USD 252M fromZhenFund, Sequoia Capital, SIG China, Google, and Volkswagen Group
Founded by Li Zhifei Li, former research scientist at Google and a world-class natural language processing expert
In Apr. 2017, Volkswagen Group China and Mobvoiannounced a strategic partnership and a 50:50 JVto develop AI applications for future connected cars
Artificial Intelligence
Team Finland Future Watch Report, August 201721
TOUTIAO IS A NEW UNICORN PROVIDING CURATED NEWS AND CONTENT
Augmented Reality (AR)
Source: Toutiao, Financial Times, Literature research, Gao Feng analysis
Competitive advantages in content generation, distribution and monetization
Toutiao’s exponential growth
Basic facts: By analyzing the features of content, users and users’
interaction with content, Toutiao’s AI-powered algorithm models generate a tailored feed list of content for each individual user
Now valued at USD 20Bn (from USD 500M in 2014) Launched in August 2012 based in Beijing Founder: Zhang Yiming 100M daily active users in 2017Q1 Average daily usage time: 76 mins Hired Ma Wei-Ying, former assistant managing
director of Microsoft Research Asia, to lead its AI Lab
User-generated and professional-generated content in various media forms: text, short videos, Q&As
Provide incubator and media lab services for curated content makers
AI-generated content live feed
Understand user’s emotions and behavioral characteristics through machine learning, analyze and predict user’s profile
Personalized news content – “Thousand people, thousand interfaces”
Technology barrier: Leverage big data to accumulate user understanding overtime
1146
335
107141
507
2016H22015H2
Total length of read (Billion mins)
Total no. of read (Billion)
No. of articles (Million)
Content Generation
Content Distribution
Content Monetization
Business model: Personalized newsfeed ads, re-direct traffic to E-commerce sites
Earned USD 869M in 2016 from in-app ads with the goal to reach USD 10Bn by 2020
CASE EXAMPLE
Artificial Intelligence
Team Finland Future Watch Report, August 201722
MEGVII (FACE++) IS A FAST-GROWING COMPUTER VISION START-UP THAT HAVE PENETRATED INTO A WIDE RANGE OF USE CASES
Source: Megvii official website, Gao Feng analysis
Company Background
Founded in 2011, Megvii is a computer vision firm that aims to power human with AI. It has developed leading technologies in facial recognition, body recognition, and object recognition
Megvii raised USD 147M in 4 rounds from 6 investors, including Sinovation Ventures, Qiming Venture Partners, and Foxteq Holdings
Megvii focuses on commercializing its facial recognition technology in Internet finance, banking, ride hailing sectors, and also itsbody and object recognition technologies in intelligent real state and intelligent security areas
Ranked 11th in the “50 Smartest Companies of 2017” of MIT Technology Review
CASE EXAMPLE
Face Comparing
Face Attributes
Emotion recognition
Face Detection
Face Landmarks
Gaze estimation
Face Searching
Beauty score
Body Detection Gesture Recognition
Body Attributes
Body Outlining
Key technologies Key customers (examples)
User authentication Smile to Pay
Driver verification for ride hailing service
Photo beautification with automatic makeup and beauty effect
User authentication for self banking services
Artificial Intelligence
Team Finland Future Watch Report, August 201723
IFLYTEK IS A LONG-ESTABLISHED AI COMPANY SPECIALIZED IN SPEECH AND LANGUAGE PROCESSING TECHNOLOGIES
Augmented Reality (AR)
*As of August 17 2017
Source: iFLYTEK official website, 36Kr, Gao Feng analysis
Company Background
Founded in 1999, iFLYTEK is the leader in intelligent speech and language processing technologies in China
Listed in Shenzhen Stock Exchange in 2008, and now with a market cap of ~USD 12B*
Achieved international advanced technologies in many areas including speech recognition, speech synthesis,natural language processing, oral language evaluation, voiceprint recognition, and handwriting recognition
Ranked sixth in the “50 Smartest Companies of 2017” of MIT Technology Review and first among all Chinese companies in the list including Alibaba and Baidu
easy trans 600
CASE EXAMPLE
Smart Education Smart Home Smart City
Smart Vehicle Smart Health Care
Key application industriesKey products Key customers
Voice Assistant
iFLYTEK
input
One-stop HMI solution platform
Bilingual education products
Artificial Intelligence
Team Finland Future Watch Report, August 201724
THERE IS A MYRIAD OF EMERGING CHINESE AI START-UPS FOCUSING ON HEALTHCARE, ROBOTICS, AUTONOMOUS DRIVING AND OTHERS
Source: Company official websites, Crunchbase, Gao Feng analysis
Founded in 2015 and raised USD 200M in 2 rounds from 3 investors, including Tencent and China Bridge Capital
In Feb.2017, iCarbonX was selected by Fortune as one of the “50 Companies Leading the AI Revolution”
Founded in 2014 and received USD 410M series B funding in Aug. 2017 with a valuation of USD 1.1B
Computer vision and deep learning solution provider Ranked fifth in China Money Network's China AI Top 10
Ranking in 2017
Founded in 2015, focusing on commercialized autonomous truck technology solution
Facilities in both Beijing and San Diego Received USD 20M investment from NVIDIA and Sina
Founded by Wu Gansha, former chief engineer at Intel Labs China, in 2016
Building commercialized solutions for self-driving technologies, products and services
Turing Robot is the most intelligent robot brain tailored for the Chinese language context
Building the most leading AI robot operating system in China and globally
Founded in 2007 and raised USD 45M in 3 rounds from 3 investors, including Legend Star and TusPark Ventures
AISpeech has 7 national qualifications, 25 patents, and 23 software copyrights
Digital health ecosystem Speech recognition and analysis
Deep learning AI robotics
Autonomous Driving Autonomous Driving
To compete with tech giants, AI start-ups must tailor their technologies and solutions to
focus on specific use cases and build big data capabilities as competitive advantages
CASE EXAMPLES
Artificial Intelligence
TOPICS
Team Finland Future Watch Report, August 201725
1. WHAT IS AI? WHY NOW?2. CHINA’S AI STATUS AND INNOVATORS3. FUTURE OPPORTUNITIES AND IMPLICATIONS FOR TEAM FINLAND
Artificial Intelligence
Team Finland Future Watch Report, August 201726
FINLAND HAS PUT AI AS ONE OF THE TOP NATIONAL STRATEGIC PRIORITIES
Augmented Reality (AR)
Source: Gao Feng analysis
Prime Minister Juha Sipilä
Making Finland the world leader in artificial intelligence
Called for a common national vision to make effective use of AI in society
Using AI to boost wellbeing will require not only new competences but also novel approaches, forward-thinking decisions and frameworks, and an adaptive labor market
Minister of Economic AffairsMika Lintilä
To make Finland the best in the world in applying AI and renewing ways of working
Established an AI-focused steering group in May 2017, program ready by September
“Finnish companies and Finnish society have an excellent basis to turn the challenges and opportunities brought about by AI into accelerators of sustainable growth”
Director General National Agency for Education
Olli-Pekka Heinonen
Important to take AI into account in education
AI applications could for example be used to create more efficient ways to identify and help students at risk of dropping out
Artificial Intelligence
IBM opened The IBM Watson Health Center in Helsinki, Finland
A hub for the collaborative future development of data-driven cognitive and artificial intelligence applications and solutions for Finnish healthcare
Team Finland Future Watch Report, August 201727
THERE IS AN INCREASING AMOUNT OF AI START-UPS AND AI-ORIENTED INITIATIVES IN FINLAND
Augmented Reality (AR)
Source: Literature research, Tekes, Gao Feng analysis
Claned
Leverage AI and education psychology to enhance personal learning
Personalizes learning to each individual optimizing study motivation and improving learning results
Curious AI
Founded 2015 as a spin-off from Aalto's Deep Learning Research Group
Specialized in the fundamental research on unsupervised AI
Zen Robotics
Specialized in AI-controlled robotic systems
Next Generation Recycling – leader in robotic waste separation
IBM and Tekes
Blueprint Genetics
Addresses the main bottleneck of genetic testing through next-generation sequencing (NGS) powered by AI
Received EURO 14M in July 2017
"I am positive that Watson cognitive capabilities will further boost innovation in Finland and put us at the forefront of game-changing health transformation, at the European level and in the global marketplace.“
- Pekka Soini, Director General of Tekes
CASE EXAMPLES
Artificial Intelligence
Team Finland Future Watch Report, August 201728
TO MAXIMIZIE ITS FULL POTENTIAL IN AI, FINLAND HAS EXISTING COMPETITIVE ADVANTAGES TO LEVERAGE AS WELL AS GAPS TO CLOSE
Augmented Reality (AR)
Source: Gao Feng analysis
Competitive advantages of AI in Finland
High level of technology-related education and skills
Strong collaboration between companies and universities (VTT)
Innovation ecosystem that allows a trial-and-error
Legacy in applied and fundamental AI research – with legends such as TeuvoKohonen and Erkki Oja
Gaps to close
Talent gaps – technical and business leaders who understand both sides
Getting ready for AI – businesses to begin data acquisition and investigate the future benefits of AI in driving productivity and reducing costs
National strategy – to set national priorities and leverage AI as a economic multiplier to accelerate AI transformation
Artificial Intelligence
Team Finland Future Watch Report, August 201729
FINLAND SHOULD TAKE IMMEDIATE ACTIONS TO CAPTURE THE EXPOLSIVE OPPORTUNITIES IN AI
Augmented Reality (AR)
Source: Gao Feng analysis
Potential actionsEducation Offer AI-specific curriculum at the top local universities and STEM education in high schools Hold public events for mass to understand and discuss the basic concepts, benefits and risks of AI Openly engage with consumers and understand needs and pain points that can be potentially
addressed by AI technologiesR&D Call for more novel applications and research on AI Set up AI-specific funds and incubators to accelerate the development of Finnish AI ecosystemBusinesses Leverage Finland’s traditional industries including the clean energy, forestry, industrial machinery
and processes, medical and ICT, and empower their AI transformation Provide continuing education on AI-related courses for all kinds of workforces To explore new applications of AI and identify potential use cases and profit potentialsGlobal ecosystem collaboration Establish cross-border linkages to encourage global knowledge transfer and benchmark global best
practices; set up overseas AI labs to attract high-skilled talents More detailed national strategy on AI and government funding for quality AI research and start-ups