The AI Value Playbook

Table of Contents

1. Introduction
2. Overview of AI Concepts and Technology Stack
3. Sam Liang, CEO of Otter.ai
4. Amr Awadallah, Founder and CEO at Vectara
5. Philipp Heltewig, Co-Founder and CEO at Cognigy
6. Miao Song, Chief Information O
7. Ruben Ortega, General Partner at Enjoy the Work
8. Joshua Rubin, Principal AI Scientist at Fiddler AI
9. Nadine Thomson, Global Chief Technology O
10. Sarvarth Misra, Co-Founder and CEO of ContractPodAi
11. Edward Fine, AI and Data Science Consultant, Technologist, and Instructor
12. Sanjeevan Bala, Group Chief Data and AI O
13. Nathalie Gaveau, AI Tech Entrepreneur and Board Member
14. Phil Harvey, Applied AI Architect
15. Elizabeth Ajayi, Director, Intelligent Industry at Capgemini Invent
16. Louis DiCesari, Head of Data, Analytics and AI at Levi Strauss & Co.
17. Vickey Rodrigues, CTO/CDO in Insuretech, Payments, and Healthtech
18. Sean McDonald, Former Global Chief Innovation Officer at McCann Worldgroup
19. Julie Gray, Head of Data and Internal Systems at Agilio
20. Peter Jackson, Chief Data and Technology O
21. Mark Beckwith, Director of Data Governance and Architecture at the Financial Times
22. Kshira Saagar, Data Science at Wolt and Doordash
23. Joe Romata, Global Head of Customer Experience at a Multinational Energy Company
24. Tomasz Ullman Former Global Head of Data Science and Strategy at Ford Pro
25. Oz Krakowski Chief Business Development O
26. Case Study: LLMs and RAG Enable Hyper-Personalized Education for Healthcare Technicians
27. Case Study: AI Personalization Increases Engagement in Nascent Tech Communities
28. Case Study: AI-Powered Virtual Agent Augments Service Efficiency
29. Case Study: Generative AI Creates a Paradigm Shift in Innovation Processes
30. Case Study: Unlocking Profit Potential – Leveraging Enterprise Data for Customer Profitability
31. Case Study: Minimizing Customer Churn with AI
32. Case Study: Enhancing Marketing Strategies Through the Power of LLMs
33. Case Study: Multimodal LLMs Redefine Software Development and Customer Innovation
34. Where We've Got To and What's Next