You're reading from The AI Value Playbook How to make AI work in the real world

Product type Paperback

Published in Aug 2024

Publisher Packt

ISBN-13 9781835461754

Length 440 pages

Edition 1st Edition

Concepts

Artificial Intelligence

Author (1):

Lisa Weaver-Lambert

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Table of Contents (43) Chapters

1. In Praise of The AI Value Playbook

2. Chapter 1: Introduction FREE CHAPTER

3. Chapter 2: Overview of AI Concepts and Technology Stack

4. Chapter 3: Sam Liang

5. Chapter 4: Amr Awadallah

6. Chapter 5: Philipp Heltewig

7. Chapter 6: Miao Song

8. Chapter 7: Ruben Ortega

9. Chapter 8: Joshua Rubin

10. Chapter 9: Nadine Thomson

11. Chapter 10: Sarvarth Misra

12. Chapter 11: Edward Fine

13. Chapter 12: Sanjeevan Bala

14. Chapter 13: Nathalie Gaveau

15. Chapter 14: Phil Harvey

16. Chapter 15: Elizabeth Ajayi

17. Chapter 16: Louis DiCesari

18. Chapter 17: Vickey Rodrigues

19. Chapter 18: Sean McDonald

20. Chapter 19: Julie Gray

21. Chapter 20: Peter Jackson

22. Chapter 21: Mark Beckwith

23. Chapter 22: Kshira Saagar

24. Chapter 23: Joe Romata

25. Chapter 24: Tomasz Ullman

26. Chapter 25: Oz Krakowski

27. Case Study

28. Chapter 26: LLMs and RAG Enable Hyper-Personalized Education for Healthcare Technicians

Case Study in Summary

29. Case Study

30. Chapter 27: AI Personalization Increases Engagement in Nascent Tech Communities

Case Study in Summary

31. Case Study

32. Chapter 28: AI-Powered Virtual Agent Augments Service Efficiency

Case Study in Summary

33. Case Study

34. Chapter 29: Generative AI Creates a Paradigm Shift in Innovation Processes

Case Study in Summary

35. Case Study

36. Chapter 30: Unlocking Profit Potential – Leveraging Enterprise Data for Customer Profitability

Case Study in Summary

37. Case Study

38. Chapter 31: Minimizing Customer Churn with AI

Case Study in Summary

39. Case Study

40. Chapter 32: Enhancing Marketing Strategies Through the Power of LLMs

Case Study in Summary

41. Case Study

42. Chapter 33: Multimodal LLMs Redefine Software Development and Customer Innovation

Case Study in Summary

43. Chapter 34: Where We’ve Got To and What’s Next

Founder and CEO at Vectara

Generative AI is transformative because, for the first time in history, we have AI systems that can interpret human language as we do, which is unprecedented…. Minimizing hallucination, bias, and copyright abuse are key issues that anybody thinking about deploying this technology cares about.

LinkedIn: awadallah

Amr Awadallah is the Founder and CEO of Vectara, a generative AI platform that offers a complete, modular, and API-based search pipeline for developers. Originally from Egypt, Amr moved to the US in 1995 to pursue a PhD at Stanford University after which he launched his first startup which Yahoo acquired. Following an eight-year tenure at Yahoo, Amr launched Cloudera, a pioneering big data company that went public in 2017 and was subsequently acquired by a private equity firm. Amr subsequently served as Vice President of Developer Relations at Google Cloud for two years before starting Vectara, a venture dedicated to building tools that...