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Part I. Introduction and First Principles
1. Defining the Problem and Opportunity
2. First Principles Methodology
3. First Principles for the Key Areas Needed for AI
4. The Barriers for Implementing AI
Part II. The WHY- 5. Introduction to AI and its Role in Business
6. Key Trends in AI
7. Data Monetization with AI
Part III.The WHAT
8. Overview of AI Concepts and Technologies
9. Supervised and Unsupervised Learning
10. Neural Networks, Deep Learning and Foundational Models
11. Creating an AI Roadmap fully aligned to Enterprise Strategies
12. Funding and Measuring the AI Journey
13. How to Approach Open Data
Part IV. The HOW
14. Organization & Governance
15. Identifying Use Cases and Assembling a Team
16. Selecting Tools and Platforms
17. Architecting AI Apps: When/How to be Cloud Native
18. Integrating AI into Existing Systems and Processes
19. Case Studies and Examples
20. Responsible AI: Understanding the Ethical and Regulatory Implications of AI
21. Scaling AI in the Enterprise: AI Maturity Model
Part V. The Future
22. How Younger Generations See the Future
23. AI Future Trends and It's Considerations for Business
24. Conclusion
Appendix.

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