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Intro
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Classroom Contents
Industrial Artificial Intelligence - From Automated Process to Cognitive Analytics
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- 1 Intro
- 2 Scale up and populate.. The Achilles heel
- 3 Elements in the Ai process
- 4 The infrastructure
- 5 Fully centralized decision
- 6 Semi centralized decision
- 7 Fully Decentralized decision
- 8 What characterizes industry and transport systems?
- 9 Edge computing is on the rise in many industries
- 10 Traditional way, we transfer everything to cloud
- 11 With Multi agent for large fleet
- 12 Analytics based on OT
- 13 Taxonomies and ontologies
- 14 TRANSFORMATIVE MAINTENANCE SOLUTIONS Integration & Application of Technologies
- 15 The challenge in Descriptive analytics
- 16 What is context awareness?
- 17 Railway context
- 18 Marine context
- 19 Diagnostic analytics
- 20 The challenge in Diagnostics analytics
- 21 Black Swan Losses
- 22 Data driven or model based?
- 23 The process of hybrid prediction
- 24 Predictive analytics:RUL prediction and simulation of scenarios
- 25 Prescriptive challenge: The digital butterfly effect
- 26 Is my ML model enough?
- 27 Need for complete datasets
- 28 Types of data analytics
