Francisco Javier Campos Zabala is a technology leader who has delivered innovative tech transformations within marketing adtech, telco and financial services, scaling high performing teams in technology and data science with a product-centered mindset and agile best practices in large corporations such as Accenture and WPP. He is a regular public speaker on innovation and AI at large tech events such as LondonTech week, BBC, NASA, IDC, and the Gartner IT Symposium. From 2020 to 2022, Javier served on an exclusive 20-member panel of industry experts to craft Bank Of England's guide on accelerating use of AI within the financial services industry.

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 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.