Offers practical guidance for businesses looking to implement AI, making it an essential resource for leaders

Includes case studies from companies that have successfully implemented AI, providing real-world insights

Covers the latest trends and technologies in AI at the Enterprise level

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 [...] 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.