Decision making in dynamic environments using Knowledge Thinking and AI

1. Decision Making in Dynamic World
Facing new crisis and risks
Eunika MERCIER-LAURENT
eunika.mercier-laurent@univ-reims.fr
http://innovation-ecosystems.eu

2. From industrial to all risks
• Industry - automatisation - confidence
• Other fields: banking, economic,
insurance, pharmaceutical,
environment…
• IT
• Growth and jobs
CODIT 2017/EML 2

3. From industrial to all riskshttps://www.gov.uk/guidance/managing-information-risk
CODIT 2017/EML 3

4. Overview of risks
CODIT 2017/EML 4

5. Decision making?
CODIT 2017/EML 5

6. 6
Register first (Data thinking)
Validation
2nd level analysis
Validated data Processing
Elaborated data
1st level analysis
Data collection (one point
of view - (diagnostic,
reliability, design…)
Raw data
Excel, DB, CAM,
CAD..
+ data mining, text mining, deep learning (IA)
REX

7. Knowledge Approach
(Knowledge Management)
• Think first:
– Analysis – who is involved, who needs
what, what knowledge, how it should be
organized…
• Models and tools (AI)
CODIT 2017/EML 7

8. Method
CODIT 2017/EML 8
Knowledge
Goals
Context Actions
Strategy

9. Example
• Cockpit design
• Nuclear waste
CODIT 2017/EML 9

10. Conclusion & Future work
• Holistic and system thinking
• Knowledge management
• Integration of innovation systems,
design, minimizing impact
CODIT 2017/EML 10