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Data Quality
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Classroom Contents
AI in the Enterprise - Avoiding the Hype and Realizing the Value
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- 1 Introduction
- 2 Why is AI so important
- 3 Hype around AI
- 4 AI requires a buildityourself approach
- 5 The reality of enterprise AI
- 6 Oracles AI strategy
- 7 Oracles applications AI strategy
- 8 Panasonic
- 9 Oracle customers using AI
- 10 The truth about AI
- 11 AI app sessions
- 12 Enterprise AI doesnt need people
- 13 Augmentation
- 14 AI Recommendations
- 15 Embedding AI
- 16 Explicit Interactions
- 17 Supervisory Controls
- 18 Dynamic Signals
- 19 The More Data The Better
- 20 Data Quality
- 21 Smart Data
- 22 Comprehensive Complete
- 23 Current Data
- 24 Dynamic Signal
- 25 Embedded Smart Data
- 26 Data Fox
- 27 Innovation Quarter
- 28 Statistics
- 29 Model
- 30 ML Ops Challenge
- 31 Hidden AI Tax
- 32 Examples
- 33 Key takeaways
