The AI Value Playbook: How to make AI work in the real world

by Lisa Weaver-Lambert

Overview

Learn from real-world examples how leveraging AI, including machine learning and generative AI, is imperative for businesses to navigate risk, drive value, and gain a competitive advantage

Key Features

• Understand machine learning and generative AI terminology, concepts, and the AI technology stack.
• Learn from diverse real-world case studies narrated by business leaders in their own voice.
• Apply a value-driven approach to AI applications across multiple business sectors.

Book Description

Business leaders are challenged by the speed of AI innovation and how to navigate disruption and uncertainty. This book is a crucial resource for those who want to understand how to leverage AI to drive business value, drawn from the firsthand experience of those who have been implementing this technology successfully. The AI Value Playbook focuses on questions frequently posed by leaders and boards. How can businesses adapt to these emerging technologies? How can they start building and deploying AI as a strategic asset to drive efficiency? What risks or threats need to be considered? How quickly can value be created? This book is a response to those demands. In a series of in-depth and wide-ranging conversations with practitioners, from CEOs leading new generative AI-based companies to Data Scientists and CFOs working in more traditional companies. Our experts share their hard-earned wisdom, talking candidly about their successes and failures, and what excites them about the future. These interviews offer unique insights for business leaders to apply to their own organizations. The book distils a value-driven playbook for how AI can be put to work today.

What you will learn

• Fundamentals of AI concepts and the tech stack
• How AI works with real-world practical applications
• How to integrate into your company's overall strategy
• How to incorporate generative AI in your processes
• How to drive value with sector-wide examples
• How to organize an AI-driven operating model
• How to use AI for competitive advantage
• The dos and don'ts of AI application

Who this book is for

The AI Value Playbook is aimed at supporting non-technical executives and board members to quickly formulate a perspective on how to integrate AI. This book addresses the gap in data and AI knowledge in leadership teams that have an appetite for nuanced, targeted and practical solutions. It includes which levers and processes to consider to future-proof their business. It speaks to an audience interested in understanding how AI can drive value for their organisations.

Product Details

ISBN-13:	9781835467596
Publisher:	Packt Publishing
Publication date:	08/30/2024
Sold by:	Barnes & Noble
Format:	eBook
Pages:	440
File size:	4 MB

About the Author

Lisa Weaver-Lambert brings extensive experience from working for Microsoft, Accenture and in private capital. In addition, she has held executive line management positions and served on boards. As a respected business leader and founder of Oxford AI Studio, Lisa partners with businesses to shape strategy and leverage AI technologies to generate value across diverse sectors. Her unique access to leading practitioners across global markets make The AI Value Playbook a must-read. Every forward-thinking business leader seeking to drive value through AI, can learn from practical scenarios and strategic plays.

Table of Contents

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