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Connecting AI
technologies with
industry needs
- Challenging the AI productivity
paradox
Antti Vasara, President & CEO
EBDVF 2019, October 15th, 2019
23/10/2019 VTT – beyond the obvious
Content
Artificial Intelligence and
Big Data
The AI productivity paradox
and how to challenge it
VTT’s expertise and networks
in AI and Big Data
Examples of VTT boosting
industry with AI and Big Data
23/10/2019 VTT – beyond the obvious 2
VTT – beyond the obvious
FABLESS FACTORIES
AND PLANTLESS
PROCESSES
CITIZEN-DRIVEN
ENERGY MARKETS
Owned by
Ministry of
Economic
Affairs and
Employment
VTT – beyond the obvious
Established in
1942
268M€
Net turnover and
other operating
income (VTT
Group 2018)
2,049
Total of personnel
(VTT Group
31.12.2018)
44%
From the net
turnover abroad
(VTT Group
2018)
31%
Doctorates and
Licentiates
(VTT Group
2018)
VTT is one of the leading research, development
Our vision
A brighter future is created through science-
based innovations.
Our mission
Customers and society grow and renew through
applied research.
Strategy
Impact through scientific and technological
excellence.
23/10/2019 VTT – beyond the obvious 4
Machine Learning
(incl. Deep Learning)
But also
How we see Artificial Intelligence
Source: International Joint Conference on AI
www.ijcai-18.org/wp-content/uploads/2018/01/demos.txt
AI enables machines,
devices, programs, systems
and services to operate in a
sensible way depending on
task and situation
Adapted from Russel and
Norvig, 2014
Planning and
scheduling
Multi-agent
systems
Search and
optimisation
Knowledge
representation
and reasoning
Natural
language
processing
Speech
and vision
Robotics
AI-interfaces
(conversational
human-computer
interaction)
23/10/2019 VTT – beyond the obvious 5
▪ Volume
▪ Velocity
▪ Variety
▪ Veracity
▪ Value
To remember:
Big Data drives AI & Machine Learning
Source: Patrick Cheesman
Digital data grows at an
annual growth rate
(CAGR) of 42% until
2020 (source IDC)
23/10/2019 VTT – beyond the obvious 6
Data
Fast
computing
High
reliability
and safety
Interpretable
algorithms
23/10/2019 VTT – beyond the obvious 7
What makes AI appealing for business?
Available data Affordable computing
power
Packaged algorithms
and tools
*) See Brynjolfsson et al
ide.mit.edu/sites/default/files/publications/IDE%20Research%
20Brief_v0118.pdf
▪ Productivity growth has
halved in US and EU since
the Great Recession 2008,
despite breakthroughs in AI
▪ How to reduce the lag
between innovation and
implementation?*
AI productivity paradox
Source: www2.itif.org/2018-ict-eu-productivity-growth.pdf
VTT – beyond the obvious 823/10/2019
23/10/2019 VTT – beyond the obvious 9
Challenging the paradox:
Combination of different skills and needs
AI expertise IT expertise
sensors connectivity
Business domain
understanding
End user
understanding
23/10/2019 VTT – beyond the obvious
AI expertise at VTT
100+
data scientists
30 +
PhDs
Annual AI project volume
20+ M€
Computer vision
AIVoice recognition* Rules-based
systems
Robotics
Planning &
scheduling
Optimisation
Natural language
processing
Machine learning
*provided by partners
10
VTT in the Academy
of Finland’s Centres
of Excellence
VTT’s national
development
platforms
VTT’s key
European
research alliances
VTT in PPP
initiatives
(H2020 programme)
• Finnish Centre for
Artificial Intelligence
(2019-2029)
• 5G test network
• Micronova – Cleanroom
for silicon-based micro
systems
• EARTO
• EIT Digital –
European Institute
of Innovation &
Technology
• European Applied AI
Alliance
• NESSI
• CLAIRE
Contractual PPPs
• Big Data (BDVA)
• 5G
• Cyber Security
• Robotics
Joint undertakings
• Electronic
Components and
Systems ECSEL
VTT’s participation in Finnish and
European research alliances within ICT
23/10/2019 VTT – beyond the obvious 11
23/10/2019
From research to impact: Highlight results
13
Agile probabilistic
Simulator-based
Deep learning
Private & Secure
Interactive
Data-efficient
Trust & Ethics
Understandable
• Easy and privacy-
preserving modelling tools
• AI-driven health
• Intelligent service assistant
for people in Finland
• Intelligent urban
environment
• AI-driven design of
materials
fcai.fi
23/10/2019 VTT – beyond the obvious
▪ Founding and Board member since
beginning 2014
▪ Active in committees producing
SRIAs, position papers, events
Contributions to activities in BDVA
14
23/10/2019 VTT – beyond the obvious 15
Examples of
VTT boosting
industry with
AI & Big Data
23/10/2019 VTT – beyond the obvious 16
VTT helps you to take AI into business use
Core areas of application
Process industry Health and wellness Energy systems
Manufacturing Remote sensing Cyber security and
connectivity
Smart machinery and
transportation
23/10/2019 VTT – beyond the obvious
Test your AI Maturity for free at
ai.digimaturity.vtt.fi
AI Maturity tool has been
launched Feb 2019
AI Maturity tool helps to proceed with AI
17
VTT – beyond the obvious
The world’s most energy saving
supermarket
Total electricity consumption in Finland is
around 85 TWh, of which S Group uses around
2% → a huge potential for both business and
societal benefits.
Energy
savings
60%
Annual energy cost
savings in one shop
only around
180,000 €
A huge potential for both
business and
societal benefits
Reference
1923/10/2019
VTT – beyond the obvious
Sniffphone was awarded the 2018
Innovation Award by the EU
Commission for most innovative
project.
SniffPhone
uses nano-
technology
based
sensors
SniffPhone is a small smartphone attachment used to
diagnose gastric cancer. It also has applications in
screening other diseases, such as lung, colon and liver
cancers and metabolic disorders.
Painless
to use in
diagnosing
cancer
Simple and
fast
to use with
smartphones,
enabled by cloud-
based analytics
Cost-
effective
alternative to
traditional
screening
SniffPhone can revolutionise cancer
screening all over the world
21
Reference
23/10/2019
VTT – beyond the obviousVTT – beyond the obvious
Neurological disease diagnosis requires large amounts of data,
tests and correct tools to reach suitable patient treatment plans.
VTT spin-off, Combinostics, has created clinical diagnostics and
data analysis software enabling accurate neurological disease
diagnosis.
Possibility for
improved
treatment
with faster and more
precise clinical
decision-making
Accelerating and
enhancing
diagnoses
through interpreting
and combining varied
medical information
Early treatment
and detection
of Alzheimer’s
and other neurological
diseases
Efficient diagnostics of neurological
diseases at earlier stages
22
A completely new way of
interpreting and combining
a large range of medical
information and data for
more precise diagnostics
Reference
23/10/2019
“Augmented and mixed reality
will open up new possibilities
for activity-tracking
applications in smartphones
and wearables. 5G will
change the game in data
processing, balancing
between the cloud, edge and
the device - meaning
algorithm size is no longer an
issue,” says Jani Mäntyjärvi,
VTT, of future developments.
VTT – beyond the obvious
Unseen accuracy in personal activity
tracking with smarter algorithms
Variety of
application
areas
e.g. in healthcare
Personalised
information
enabled by
parameters,
machine learning
and neural networks
~ 100 %
recognition
accuracy
of complex
activities
and related results
People want more information and smarter ways to
analyse their sports activities and performance.
VTT’s sophisticated DeepActivity algorithm has taken
the accuracy of physical activity tracking to the next
level.
Deep
learning
and
graph
theory
Reference
2323/10/2019
VTT – beyond the obvious
Sustainable bioeconomy empowered
by Big Data technology (DataBio)
DataBio aim: Develop big data tools for enhancing production
of raw materials for food, energy and biomaterials industries
• A EU-funded project with 48 partners (VTT Tech
Coordinator)
• 26 bioeconomy pilots in 17 countries
Responsible
and
sustainable
production
of food, energy
and biomaterials
Better raw
material
utilisation
from agriculture,
forestry and
fishery sources
New business
opportunities
through market-ready
big data technologies
"Population growth and urbanisation
are increasing the demand for natural
resources, which is putting a strain on
the Earth's carrying capacity.
We aim to develop new sustainable
ways to use forest, farm and fishery
resources and to communicate real-
time information to decision-makers
and producers.”
Caj Södergård
Research Professor VTT,
DataBio Technology Manager
Reference
23/10/2019 24
VTT – beyond the obvious
Satellite images enable near real-time
forest monitoring
VTT’s near real-time forest monitoring system leverages
optical and radar satellite imagery. This solution offers officials
and forest owners accurate data on the state of forests and
even illegal loggings. The technology combines ground data
from various sources to analysis of satellite images.
This powerful monitoring system
automatically detects forest clear-cuts by
combining data from multiple sources,
thus reducing manual workloads.
The solution
has already
been
successfully
tested in
several global
locations
Forest asset
value
can be checked
any time, for any
purpose
Less ground-
work
for proper
assessments
Legislation
enforcement
facilitated by
up-to-date
information
Reference
23/10/2019 25
23/10/2019 VTT – beyond the obvious
23/10/2019 VTT – beyond the obvious
Autonomous driving research at VTT
DATA FUSION
• Roadmarks
• Congestions
• Indoor positioning
• Night time, fog, snow storm etc.
5G COMM
• Pedestrian position and
direction
• Remote diagnostics
Marilyn – Citroen C4
First car in Finland permitted
for automated driving in real
traffic
Martti – VW Touareg
Dedicated for rural roads and
artic conditions without lane
markings
Elvira – VW eGolf
Special sensors for automated
driving incl. remote control
interface.
Muuli – Electric Bus
Automated commercial vehicle
operation. Scaled sensor
system
27
23/10/2019 VTT – beyond the obvious
Using AI in synthetic biology
• Algorithms
• Instrument design
Analytics/various omicsMachine learning, AI, modelling
DNA
synthesis
DataBase
DataBase
DataBase
DataBase
WRITE
READ
28
23/10/2019 VTT – beyond the obvious
Way forward with AI:
Experiment, learn, improve and benefit
Potential knowledge
and competences
Data now and
in the future
Benefit apply and
spread
29
Thank you! @VTTFinland www.vttresearch.com
23/10/2019

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Connecting AI technologies with industry needs

  • 1. Connecting AI technologies with industry needs - Challenging the AI productivity paradox Antti Vasara, President & CEO EBDVF 2019, October 15th, 2019 23/10/2019 VTT – beyond the obvious
  • 2. Content Artificial Intelligence and Big Data The AI productivity paradox and how to challenge it VTT’s expertise and networks in AI and Big Data Examples of VTT boosting industry with AI and Big Data 23/10/2019 VTT – beyond the obvious 2
  • 3. VTT – beyond the obvious FABLESS FACTORIES AND PLANTLESS PROCESSES CITIZEN-DRIVEN ENERGY MARKETS
  • 4. Owned by Ministry of Economic Affairs and Employment VTT – beyond the obvious Established in 1942 268M€ Net turnover and other operating income (VTT Group 2018) 2,049 Total of personnel (VTT Group 31.12.2018) 44% From the net turnover abroad (VTT Group 2018) 31% Doctorates and Licentiates (VTT Group 2018) VTT is one of the leading research, development Our vision A brighter future is created through science- based innovations. Our mission Customers and society grow and renew through applied research. Strategy Impact through scientific and technological excellence. 23/10/2019 VTT – beyond the obvious 4
  • 5. Machine Learning (incl. Deep Learning) But also How we see Artificial Intelligence Source: International Joint Conference on AI www.ijcai-18.org/wp-content/uploads/2018/01/demos.txt AI enables machines, devices, programs, systems and services to operate in a sensible way depending on task and situation Adapted from Russel and Norvig, 2014 Planning and scheduling Multi-agent systems Search and optimisation Knowledge representation and reasoning Natural language processing Speech and vision Robotics AI-interfaces (conversational human-computer interaction) 23/10/2019 VTT – beyond the obvious 5
  • 6. ▪ Volume ▪ Velocity ▪ Variety ▪ Veracity ▪ Value To remember: Big Data drives AI & Machine Learning Source: Patrick Cheesman Digital data grows at an annual growth rate (CAGR) of 42% until 2020 (source IDC) 23/10/2019 VTT – beyond the obvious 6
  • 7. Data Fast computing High reliability and safety Interpretable algorithms 23/10/2019 VTT – beyond the obvious 7 What makes AI appealing for business? Available data Affordable computing power Packaged algorithms and tools
  • 8. *) See Brynjolfsson et al ide.mit.edu/sites/default/files/publications/IDE%20Research% 20Brief_v0118.pdf ▪ Productivity growth has halved in US and EU since the Great Recession 2008, despite breakthroughs in AI ▪ How to reduce the lag between innovation and implementation?* AI productivity paradox Source: www2.itif.org/2018-ict-eu-productivity-growth.pdf VTT – beyond the obvious 823/10/2019
  • 9. 23/10/2019 VTT – beyond the obvious 9 Challenging the paradox: Combination of different skills and needs AI expertise IT expertise sensors connectivity Business domain understanding End user understanding
  • 10. 23/10/2019 VTT – beyond the obvious AI expertise at VTT 100+ data scientists 30 + PhDs Annual AI project volume 20+ M€ Computer vision AIVoice recognition* Rules-based systems Robotics Planning & scheduling Optimisation Natural language processing Machine learning *provided by partners 10
  • 11. VTT in the Academy of Finland’s Centres of Excellence VTT’s national development platforms VTT’s key European research alliances VTT in PPP initiatives (H2020 programme) • Finnish Centre for Artificial Intelligence (2019-2029) • 5G test network • Micronova – Cleanroom for silicon-based micro systems • EARTO • EIT Digital – European Institute of Innovation & Technology • European Applied AI Alliance • NESSI • CLAIRE Contractual PPPs • Big Data (BDVA) • 5G • Cyber Security • Robotics Joint undertakings • Electronic Components and Systems ECSEL VTT’s participation in Finnish and European research alliances within ICT 23/10/2019 VTT – beyond the obvious 11
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  • 13. 23/10/2019 From research to impact: Highlight results 13 Agile probabilistic Simulator-based Deep learning Private & Secure Interactive Data-efficient Trust & Ethics Understandable • Easy and privacy- preserving modelling tools • AI-driven health • Intelligent service assistant for people in Finland • Intelligent urban environment • AI-driven design of materials fcai.fi
  • 14. 23/10/2019 VTT – beyond the obvious ▪ Founding and Board member since beginning 2014 ▪ Active in committees producing SRIAs, position papers, events Contributions to activities in BDVA 14
  • 15. 23/10/2019 VTT – beyond the obvious 15 Examples of VTT boosting industry with AI & Big Data
  • 16. 23/10/2019 VTT – beyond the obvious 16 VTT helps you to take AI into business use Core areas of application Process industry Health and wellness Energy systems Manufacturing Remote sensing Cyber security and connectivity Smart machinery and transportation
  • 17. 23/10/2019 VTT – beyond the obvious Test your AI Maturity for free at ai.digimaturity.vtt.fi AI Maturity tool has been launched Feb 2019 AI Maturity tool helps to proceed with AI 17
  • 18. VTT – beyond the obvious The world’s most energy saving supermarket Total electricity consumption in Finland is around 85 TWh, of which S Group uses around 2% → a huge potential for both business and societal benefits. Energy savings 60% Annual energy cost savings in one shop only around 180,000 € A huge potential for both business and societal benefits Reference 1923/10/2019
  • 19. VTT – beyond the obvious Sniffphone was awarded the 2018 Innovation Award by the EU Commission for most innovative project. SniffPhone uses nano- technology based sensors SniffPhone is a small smartphone attachment used to diagnose gastric cancer. It also has applications in screening other diseases, such as lung, colon and liver cancers and metabolic disorders. Painless to use in diagnosing cancer Simple and fast to use with smartphones, enabled by cloud- based analytics Cost- effective alternative to traditional screening SniffPhone can revolutionise cancer screening all over the world 21 Reference 23/10/2019
  • 20. VTT – beyond the obviousVTT – beyond the obvious Neurological disease diagnosis requires large amounts of data, tests and correct tools to reach suitable patient treatment plans. VTT spin-off, Combinostics, has created clinical diagnostics and data analysis software enabling accurate neurological disease diagnosis. Possibility for improved treatment with faster and more precise clinical decision-making Accelerating and enhancing diagnoses through interpreting and combining varied medical information Early treatment and detection of Alzheimer’s and other neurological diseases Efficient diagnostics of neurological diseases at earlier stages 22 A completely new way of interpreting and combining a large range of medical information and data for more precise diagnostics Reference 23/10/2019
  • 21. “Augmented and mixed reality will open up new possibilities for activity-tracking applications in smartphones and wearables. 5G will change the game in data processing, balancing between the cloud, edge and the device - meaning algorithm size is no longer an issue,” says Jani Mäntyjärvi, VTT, of future developments. VTT – beyond the obvious Unseen accuracy in personal activity tracking with smarter algorithms Variety of application areas e.g. in healthcare Personalised information enabled by parameters, machine learning and neural networks ~ 100 % recognition accuracy of complex activities and related results People want more information and smarter ways to analyse their sports activities and performance. VTT’s sophisticated DeepActivity algorithm has taken the accuracy of physical activity tracking to the next level. Deep learning and graph theory Reference 2323/10/2019
  • 22. VTT – beyond the obvious Sustainable bioeconomy empowered by Big Data technology (DataBio) DataBio aim: Develop big data tools for enhancing production of raw materials for food, energy and biomaterials industries • A EU-funded project with 48 partners (VTT Tech Coordinator) • 26 bioeconomy pilots in 17 countries Responsible and sustainable production of food, energy and biomaterials Better raw material utilisation from agriculture, forestry and fishery sources New business opportunities through market-ready big data technologies "Population growth and urbanisation are increasing the demand for natural resources, which is putting a strain on the Earth's carrying capacity. We aim to develop new sustainable ways to use forest, farm and fishery resources and to communicate real- time information to decision-makers and producers.” Caj Södergård Research Professor VTT, DataBio Technology Manager Reference 23/10/2019 24
  • 23. VTT – beyond the obvious Satellite images enable near real-time forest monitoring VTT’s near real-time forest monitoring system leverages optical and radar satellite imagery. This solution offers officials and forest owners accurate data on the state of forests and even illegal loggings. The technology combines ground data from various sources to analysis of satellite images. This powerful monitoring system automatically detects forest clear-cuts by combining data from multiple sources, thus reducing manual workloads. The solution has already been successfully tested in several global locations Forest asset value can be checked any time, for any purpose Less ground- work for proper assessments Legislation enforcement facilitated by up-to-date information Reference 23/10/2019 25
  • 24. 23/10/2019 VTT – beyond the obvious
  • 25. 23/10/2019 VTT – beyond the obvious Autonomous driving research at VTT DATA FUSION • Roadmarks • Congestions • Indoor positioning • Night time, fog, snow storm etc. 5G COMM • Pedestrian position and direction • Remote diagnostics Marilyn – Citroen C4 First car in Finland permitted for automated driving in real traffic Martti – VW Touareg Dedicated for rural roads and artic conditions without lane markings Elvira – VW eGolf Special sensors for automated driving incl. remote control interface. Muuli – Electric Bus Automated commercial vehicle operation. Scaled sensor system 27
  • 26. 23/10/2019 VTT – beyond the obvious Using AI in synthetic biology • Algorithms • Instrument design Analytics/various omicsMachine learning, AI, modelling DNA synthesis DataBase DataBase DataBase DataBase WRITE READ 28
  • 27. 23/10/2019 VTT – beyond the obvious Way forward with AI: Experiment, learn, improve and benefit Potential knowledge and competences Data now and in the future Benefit apply and spread 29
  • 28. Thank you! @VTTFinland www.vttresearch.com 23/10/2019