1.
AI, IoT, Blockchain & Co:
How to keep track and
take advantage of what’s
going on?
Harald Jenny
AI-SDV 2020, «NICE»

2.
RESEARCH /
NETWORKS
SME INDUSTRIES STATE

3.
Sources
+
Processes
+
Softwares
BI=
Business Intelligence

4.
AI, IoT, Blockchain & Co
Ressources
Access to a large number of professionnal sources
(Lexis Nexis, Thomson Reuters, Questel, …)
Expertise
Our experts in information search and analysis, technology
monitoring and innovation coaching are here to help.
Tools
We develop our own Innovation Portal for more than 10 years,
with our customers.
Support
Expert processes setup and training.

5.
Searches
Patents | Publications | Business Intelligence
Monitoring
Patents | Publications | Design | Web
Training
Seminars | Corporate Training
Coaching
Innovation & Strategic Coaching
AI, IoT,
Blockchain & Co

6.
Monitoring
Web
AI

7.
AI Monitoring
Web
SOURCE

8.
AI Monitoring
Web
SOURCE
Since 2018
Worldwide
Selected by Crawling and Human Intelligence

9.
AI Monitoring
Web
SOURCE
Since 2018
Worldwide
Weekly updates

10.
Focus of this presentation:
Artificial Intelligence

11.
Top 7 AI questions 2019

12.
Why do systems that are supposed to help society seem to have a disproportionately adverse effect ?
With so much artificial intelligence, machine learning and deep learning in development, what is the kit programmers might
find useful in their AI toolbox?
Devising compute strategies for AI applications can be challenging. What are the
hardware, network and software frameworks available?
CIOs are set to include artificial
intelligence in their IT strategy.
How do technical, legislative and
cultural challenges influence their
AI ambitions?
Latest forecasts suggest spending on artificial intelligence is ramping up, and
organisations that need raw machine learning performance are turning to custom
hardware.
For AI to improve our lives, it needs to reflect the real
world, but what about regulating algorithms too much?
Study from McKinsey & Company finds data silos and a lack of enterprise
integration are putting some industries at a disadvantage. Why?

13.
6 Predictions for the Future of
AI in 2020

14.
1. AI will get more diversified
2. Machines will get better at understanding—and generating their own—speech and writing
3. Research could hit a wall
4. Algorithmic ethics concerns will grow
5. Synthetically produced data could make AI cheaper
6. Deepfake deployments will become more insidious
Source: ADWEEK, January 3, 2020

15.
0 5 10 15 20 25 30
Health
Science
Society
Business
Ethics
Government
Education
Military
Environment
Human perception
Research
Legal
Finance
Others
Recruitment
Management
Retail
sept.20 juil.20 juin.20 mai.20 avr.20 mars.20 févr.20 janv.20
DIVERSITY

16.
WRITING

17.
RESEARCH

18.
ETHICS
1
11
14
0 2 4 6 8 10 12 14 16
2020 2019 2018

19.
SYNTHETIC DATA

20.
DEEPFAKE

21.
AND NOW ?
Ready for AI of the 4th generation ?

22.
AND NOW ?
Ready for AI of the 4th generation ?
The fourth
generation of AI is
here, and it’s called
‘Artificial Intuition’

23.
1st generation: “What happened?”
→ descriptive analytics
2nd generation: “Why did it happen?”
→ diagnostic analytics
3rd generation: “Based on what has already happened, what could happen in the future?”
→ predictive analytics
4th generation: “Based on all the data available in the web, what could be done?”
→ intuitive analytics
AND NOW ?
Ready for AI of the 4th generation ?

24.
AI 4th generation: “Artificial Intuition”
“The concept of artificial intuition is one that, just five years ago, was considered
impossible. But now companies like Google, Amazon and IBM are working to develop
solutions.”
“We need machines that can “think” on their own, especially when faced with an
unfamiliar situation. We need AI that can not just analyze the data it is shown, but
express a “gut feeling” when something doesn’t add up. In short, we need AI that can
mimic human intuition.”
AND NOW ?
Ready for AI of the 4th generation ? Mark Gazit, thenextweb.com, Sept 3, 2020

25.
4 LINES OF EFFORT
Michael J.K. Kratsios, CTO USA
Start at 6:50
End at 11:50

26.
LINES OF EFFORT
Michael J.K. Kratsios, CTO USA
Stat at 6:50
End at
4 LINES OF EFFORT IN AI
1. R&D: Realise the next great breakthroughs
2. Workfore: set up a large scale robust pipeline of scientists
3. Remove barriers: foster emerging technologies born free versus
technologies born in captivity
4. International engagement: join forces with allies to make sure the west is
the home for the next technology discoveries

27.
HIGHLIGHTS
OF THE WEEK
Artificial intelligence expert originates new theory for
decision-making
https://app1.rapid.swiss/Document/2984103
Talking Alone: Researchers Use Artificial Intelligence
Tools to Predict Loneliness
https://app1.rapid.swiss/Document/2985549
Whoever leads in artificial intelligence in 2030 will rule
the world until 2100
https://app1.rapid.swiss/Document/2883014

28.
AI, IoT, Blockchain&Co:
The future of technology monitoring is here:
https://app1.rapid.swiss
Username: svtb.AI-SDV2020
Password: send mail to hjenny@centredoc.ch
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