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The AI Value Playbook

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

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781835461754
Length 440 pages
Edition 1st Edition
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Author (1):
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Lisa Weaver-Lambert Lisa Weaver-Lambert
Author Profile Icon Lisa Weaver-Lambert
Lisa Weaver-Lambert
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Toc

Table of Contents (43) Chapters Close

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 29. Case Study
30. Chapter 27: AI Personalization Increases Engagement in Nascent Tech Communities 31. Case Study
32. Chapter 28: AI-Powered Virtual Agent Augments Service Efficiency 33. Case Study
34. Chapter 29: Generative AI Creates a Paradigm Shift in Innovation Processes 35. Case Study
36. Chapter 30: Unlocking Profit Potential – Leveraging Enterprise Data for Customer Profitability 37. Case Study
38. Chapter 31: Minimizing Customer Churn with AI 39. Case Study
40. Chapter 32: Enhancing Marketing Strategies Through the Power of LLMs 41. Case Study
42. Chapter 33: Multimodal LLMs Redefine Software Development and Customer Innovation 43. Chapter 34: Where We’ve Got To and What’s Next

About the Author

Lisa Weaver-Lambert has been leveraging data to solve complex commercial challenges for over two decades through her roles at Microsoft, Accenture, and in capital and public markets. In addition, she has held executive line management positions and served at board level. Her work in regions including Europe, the US, APAC, and Africa has brought her a global perspective.

Lisa’s early career in financial services, working on acquisition, retention, and fraud detection programs, provided a valuable foundation in data-driven decision making. This experience solidified her understanding of data quality, governance, and its commercial potential. She witnessed firsthand the power of large datasets and how working with data could solve real-world business problems.

Since then, she has worked with some of the world’s best-known brands towards success, earning her recognition as a leading woman in technology in the EMEA investment field. Her extensive experience in strategy and business transformation has led her to collaborate with organizations of different sizes and maturity levels to accelerate performance.

Recognizing the transformative potential of AI, Lisa’s mission is to equip non-technical leaders with the knowledge and confidence to leverage AI for their organizations. Lisa recently founded Oxford AI Studio. This initiative aims at bridging industry with researchers and knowledge institutes to tackle real-world business challenges and drive the development and application of responsible AI innovation.

Lisa earned her degrees from the University of Lancaster and ESCP Business School in Paris, strengthening her qualifications through executive programs at MIT Sloan School of Management and UC Berkeley School of Information.

LinkedIn: lisa-weaver-lambert

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