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The AI Value Playbook
The AI Value Playbook

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

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The AI Value Playbook

In Praise of

The AI Value Playbook

“Unlock the secrets of rapid AI implementation with this indispensable guide by Lisa Weaver-Lambert. Drawing from expert insights, this essential resource reveals how to harness storytelling and alignment, create an engaging environment for communication, build trust, invest in continual learning, and focus on strategic alignment. With a writing style that’s both concise and compelling, Lisa shows you how to turn AI into a game-changer for your organization – not just a buzzword. Dive in and discover the formula for success.”

— John Winn, Managing Director at Blackstone

“I cannot think of another source where so many AI examples are compiled into one book. I think this is a must read for anyone who wants to learn the history, creation, and, more importantly, ideas of AI to apply to the reader’s own journey. As a leader in the technology industry, I’ve seen firsthand the transformative potential of AI, but also the critical importance of using it responsibly and securely. The AI Value Playbook offers a roadmap to maximize its potential. We can only adapt and change when we listen, and in this book there are many voices across geographies and industries. I highly recommend it.”

— Kelly Bissell, Corporate Vice President, Microsoft

“The AI Value Playbook is valuable for organisational leaders who are seeking to improve productivity by driving value from data and AI. The AI Playbook offers a powerful guide to help companies master AI concepts, overcome the inevitable obstacles, and learn from real-world examples of applied AI.”

— Soumitra Dutta, Peter Moores Dean and Professor of Management, Saïd Business School, University of Oxford

“In an era where data is the lifeblood of success, The AI Value Playbook stands out as the essential guide for companies navigating the transition to an AI operating model. Busy users can leverage chapters for quick reference, while even advanced users will find it valuable as a source of clear explanations for colleagues and friends. Lisa unpacks success strategies, weaving insights with captivating case studies that provide executives with actionable mental models. The book offers a structured approach for initiating, measuring, and adapting AI projects, acknowledging the iterative nature of ROI. Executives seeking AI-driven growth will find it a must-read, with practical guidance and a strategic framework for implementation, including the critical development of talent. It breaks the mold of the typical executive-focused reads. It’s an indispensable ally for business leaders that will leave you inspired and informed.”

— Bogdan Crivat, Corporate Vice President, Azure Data Analytics, Microsoft

“At Race Capital, we invest in transformative technologies. The AI Value Playbook isn’t just about technology. It’s about empowering people. You’ll discover how to integrate AI to future-proof your business and empower your workforce. The AI Value Playbook is your practical guide and roadmap to unlocking the power of AI for your business inspired by real-word case studies.”

— Alfred Chuang, General Partner at Race Capital, Silicon Valley’s most passionate CEO Coach, Co-Founder, CEO, and Chairman of BEA Systems

“The AI Value Playbook offers a clear-eyed view of how AI is transforming industries. Lisa’s actionable framework, combined with real-world case studies, empowers leaders to navigate the complexities of AI integration and release its potential for sustainable growth. A great read for business leaders looking to develop a strategic roadmap to leverage AI for increased efficiency and competitiveness.”

— Pegah Ebrahimi, Co-Founder and Managing Partner at FPV Ventures

“In today’s rapidly evolving landscape, AI is no longer a future possibility, but a present necessity. The AI Value Playbook offers a clear roadmap for business leaders to navigate the exciting world of AI and transform it into a strategic advantage for our organizations. Lisa’s insights and real-world examples across industries and geographies are invaluable for anyone looking for practical techniques to implement AI and drive positive results. If you’ve questioned your company’s ability to innovate - or stay relevant - in an era of exponential technological growth, this book is a must-read.”

— Guglielmo Angelozzi, CEO, Lottomatica Group

“The AI Value Playbook is a roadmap for CEOs to leverage AI to future-proof their organization. Lisa combines insightful analysis with practical case studies, demonstrating the importance of data management and how AI can drive efficiency, accelerate innovation, and unlock new markets. This book is a critical resource for any organization looking to scale with AI and secure a competitive advantage in the years to come.”

— Sajjad Jaffer, GrowthCurve Capital; Ex Co-Founder, Two Six Capital

“The AI Value Playbook equips board members with the knowledge, practical tools, and competitive edge needed to provide the vital leadership required to successfully navigate the transformative potential of AI. By providing insights from real-world case studies spanning hugely diverse organizations, the book reveals how AI can disrupt and redefine industries, driving increased productivity, cost optimization, and long-term growth. It also tackles the gap between AI’s promise and its practical impact, addressing internal organizational barriers. Most importantly, the book equips boards with a practical framework distilled from practitioners that have the bruises and scars from deploying AI in businesses, guiding board members to ask the right questions of their organizations throughout the AI transformation.”

— Sanjeevan Bala, Independent Non-executive Director (Bakkavor, SThree) | Group Chief Data & AI Officer | AI Board Advisor

“In the fast-paced world of private markets in which I work, staying ahead of the curve is paramount. The AI Value Playbook offers a clear-eyed view of how AI is transforming industries. Lisa’s actionable framework, combined with real-world case studies provides a much needed personal, story-telling approach to a topic that’s understandably exciting yet for many, can feel overwhelming to truly understand. Her deeply humanistic and practical guide empowers business leaders to identify high-potential AI applications. This book is a valuable guide on the challenges and transformative power of AI that speaks directly to the non-technical business leader.”

— Alice Murray, Founder, Editor-in-Chief, The Line. Head of Content and Communications, Alpha Group

“ Lisa is an ex-colleague of mine at Microsoft and I respect her opinions. Also, I suspect like a lot of you, I have mixed feelings about the current AI boom: I can see the value in AI but I can also see the vast amount of hype and the obviously ridiculous claims being made. More than anything I see senior executives talking confidently about a subject I’m sure they don’t understand, and that is clearly a big problem. This book aims to help solve that problem by providing a practical guide to AI for non-technical leaders, in the form of a series of case studies and interviews with entrepreneurs and C-level people in the AI space. This is a very readable book – Lisa has talked to a lot of interesting, knowledgeable people – and the format makes it a lot more palatable for the target audience of your boss’s boss’s boss than your average tech book. As a technical person who isn’t by any means an AI expert I also enjoyed reading it.”

— Chris Webb, Principal Program Manager at Microsoft

The AI Value Playbook

Copyright © 2024 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Group Product Manager: Niranjan Naikwadi

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First published: August 2024

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Published by Packt Publishing Ltd.

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ISBN 978-1-83546-175-4

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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

Acknowledgements

This book, like the discussions it seeks to facilitate, is the culmination of countless conversations and collaborations. I am deeply grateful to all the interviewees, and their teams, whose insights, stories, and lessons are the essence, of this work. Thank you for your time and generosity of spirit.

I am deeply grateful to the following colleagues and friends who have enriched this book in invaluable ways:

Giuseppe Saltini brought his twenty-five years of experience in the data and information architecture space. Giuseppe’s insightful feedback and edits not only enhanced the manuscript’s accuracy but, I trust, will also make it more relevant to readers.

David Goodchild lent his creative expertise to the book’s visual identity. From the captivating cover design to the clear internal layout and informative diagrams, David’s contribution significantly improved the overall presentation.

Vivienne Hamilton, who brought her editorial skills with patience and dedication.

Kate Willis for her editorial contributions to the interview drafts. And Lara Lambert for her meticulous proof-reading.

Insight Partners for their expertise in identifying high-growth generative AI companies.

The Packt team, whose keen eyes ensure the book’s clarity and professionalism.

About the Reviewer

Tanmaya Gaur is a Principal Architect at T-Mobile US, Inc., with over 15 years of experience building enterprise systems. He is a technical expert in the architecture, development, and deployment of advanced software and infrastructure for enhanced user support in telecom applications. He is passionate about utilizing composable architecture strategies to aid creation and management of reusable components across the entire spectrum of web development, from front-end UX to backend coordination and content management. His current focus is building Telecom CRM tools that leverage micro-front-end, artificial intelligence, and machine learning algorithms to boost efficiency and improve the product experience.

Author’s Note

Writing about AI for non-technical executives and board members requires striking a balance between rigor and readability, making sure to be succinct without sacrificing nuance. I have drawn on my own experience working with leadership teams to find the sweet spot on the continuum, getting the substance right while keeping the book accessible.

Opening up my personal access to leading minds in today’s business landscape has given me a unique perspective. Through our compelling conversations, I have aimed to bridge the gap between the technical world of AI and the strategic considerations of leadership. My interview approach maintains the authenticity of the dialogue. I hope you find that I have achieved this and these insights inspire you.

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Key benefits

  • 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.

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.

Who is this book 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.

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

Product Details

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Publication date : Aug 30, 2024
Length: 440 pages
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Language : English
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Table of Contents

43 Chapters
In Praise of The AI Value Playbook Chevron down icon Chevron up icon
Chapter 1: Introduction Chevron down icon Chevron up icon
Chapter 2: Overview of AI Concepts and Technology Stack Chevron down icon Chevron up icon
Chapter 3: Sam Liang Chevron down icon Chevron up icon
Chapter 4: Amr Awadallah Chevron down icon Chevron up icon
Chapter 5: Philipp Heltewig Chevron down icon Chevron up icon
Chapter 6: Miao Song Chevron down icon Chevron up icon
Chapter 7: Ruben Ortega Chevron down icon Chevron up icon
Chapter 8: Joshua Rubin Chevron down icon Chevron up icon
Chapter 9: Nadine Thomson Chevron down icon Chevron up icon
Chapter 10: Sarvarth Misra Chevron down icon Chevron up icon
Chapter 11: Edward Fine Chevron down icon Chevron up icon
Chapter 12: Sanjeevan Bala Chevron down icon Chevron up icon
Chapter 13: Nathalie Gaveau Chevron down icon Chevron up icon
Chapter 14: Phil Harvey Chevron down icon Chevron up icon
Chapter 15: Elizabeth Ajayi Chevron down icon Chevron up icon
Chapter 16: Louis DiCesari Chevron down icon Chevron up icon
Chapter 17: Vickey Rodrigues Chevron down icon Chevron up icon
Chapter 18: Sean McDonald Chevron down icon Chevron up icon
Chapter 19: Julie Gray Chevron down icon Chevron up icon
Chapter 20: Peter Jackson Chevron down icon Chevron up icon
Chapter 21: Mark Beckwith Chevron down icon Chevron up icon
Chapter 22: Kshira Saagar Chevron down icon Chevron up icon
Chapter 23: Joe Romata Chevron down icon Chevron up icon
Chapter 24: Tomasz Ullman Chevron down icon Chevron up icon
Chapter 25: Oz Krakowski Chevron down icon Chevron up icon
Case Study Chevron down icon Chevron up icon
Chapter 26: LLMs and RAG Enable Hyper-Personalized Education for Healthcare Technicians Chevron down icon Chevron up icon
Case Study Chevron down icon Chevron up icon
Chapter 27: AI Personalization Increases Engagement in Nascent Tech Communities Chevron down icon Chevron up icon
Case Study Chevron down icon Chevron up icon
Chapter 28: AI-Powered Virtual Agent Augments Service Efficiency Chevron down icon Chevron up icon
Case Study Chevron down icon Chevron up icon
Chapter 29: Generative AI Creates a Paradigm Shift in Innovation Processes Chevron down icon Chevron up icon
Case Study Chevron down icon Chevron up icon
Chapter 30: Unlocking Profit Potential – Leveraging Enterprise Data for Customer Profitability Chevron down icon Chevron up icon
Case Study Chevron down icon Chevron up icon
Chapter 31: Minimizing Customer Churn with AI Chevron down icon Chevron up icon
Case Study Chevron down icon Chevron up icon
Chapter 32: Enhancing Marketing Strategies Through the Power of LLMs Chevron down icon Chevron up icon
Case Study Chevron down icon Chevron up icon
Chapter 33: Multimodal LLMs Redefine Software Development and Customer Innovation Chevron down icon Chevron up icon
Chapter 34: Where We’ve Got To and What’s Next Chevron down icon Chevron up icon

Customer reviews

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Shanthababu Pandian Oct 22, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
The AI Value Playbook stands out as a comprehensive guide for businesses aiming to implement AI strategically. It offers unique, practical frameworks and actionable insights on leveraging AI to drive value, enhance efficiency, and foster innovation. Drawing from real-world case studies and expert opinions across industries, it underscores the significance of alignment, trust, continuous learning, and strategic adaptation in AI projects.The playbook equips business leaders with the necessary tools to navigate AI integration, ensuring sustainable growth and a competitive edge in a rapidly evolving technological landscape. By following the guidance in this book, businesses can expect to see significant returns on their AI investments.This book is a practical guide for non-technical executives and board members on effectively integrating AI into their businesses. It addresses key questions around AI adoption, such as how businesses can adapt, build AI as a strategic asset, mitigate associated risks, and provide real-world solutions and strategies.Through in-depth interviews with CEOs, data scientists, and CFOs, the book draws inspiration from successful AI implementations across various industries and stages of AI maturity, from generative AI to foundational data management. These real-world case studies and conversations provide valuable insights into the challenges, successes, and lessons learned from AI integration, reassuring you that AI can be successfully implemented in your business.The flow of the book goes as follows.Chapter 1: Overview of AI Concepts and Technology Stack: Types of AI, what the AI interconnected areas are, and its limitations. Trustworthy AI. Understanding of Generative AI and LLMs followed by Foundational components of LLMsFollowing Chapter 1, the book was designed as interviews and case studies.Nineteen chapters cover the typical interview point of view in the form of a conversational recording pattern. This is really amazing and interesting stuff; readers like me would visualize the interview on the screen,Yes! I thoroughly enjoyed it. I couldn’t list them here because the list is too long. Still, I can say that all personalities are at higher positions, such as Founder, Entrepreneur, CEO, CIO, CTO, CDO, CDTO, CD&AI O, CBDO, Director, Head of Data Science, and Scientist in the IT-AI domain with vast knowledge and sharing the insights from their experience precisely.Next to interviews, the author covers eight practical use cases from various industries, followed by these amazing interviews.Overall, this Power-packed comprehensive insight is helpful for AI folks, no doubt of that.All the very best to the author. Overall, I can give 5.0/5.0 for this. Indeed, the author would greatly appreciate a special effort.-Shanthababu PandianAI and Data Architect | Scrum Master | National and International Speaker | Blogger | Author
Amazon Verified review Amazon
Bonnie R. Marcus Sep 08, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
As a non-technical person, former CEO, and executive coach, I found this book of great value to help me understand how AI can help organizations maximize business results and provide employees the tools to increase their productivity.The author's interviews and case studies with business leaders lay out a variety of scenarios that are extremely helpful. They serve as playbook for how different organizations can apply AI to reach their objectives.I highly recommend this book for any business leader who is looking for a better understanding of AI and a practical approach for the application of AI in their organization.
Amazon Verified review Amazon
emma lora roderick Sep 24, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
A necessary read for any non “techy” individual to understand the applications and value that can be implemented across a business, utilising AI.Real life examples really help shape the understanding of the impact that can be implemented quickly and effectively!Given the impact of data and technology in the modern world, regardless of industry, this genuinely provides a starting point for harnessing the application of a proper strategy with a hard to understand subject matter!As an executive headhunter I’ve not only found this helpful from a business perspective, but also to implicate into job descriptions for future technology executive searches.Super helpful read!
Amazon Verified review Amazon
Michael Gehmeyr Oct 17, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I recently dove into “The AI Value Playbook” by Lisa Weaver-Lambert:Her book is aimed at non-technical executives and board members to help these leaders quickly formulate a perspective on AI, understand its potential impact, and make informed decisions to drive their organizations forward.It provides a comprehensive guide for rapid AI implementation in real-world scenarios, emphasizing storytelling, alignment, trust-building, continual learning, and strategic alignment.It is structured into four sections:1. Overview of AI concepts and technology stack, which offers a foundational understanding of AI principles and the technology stack necessary for building and running AI applications.2. In-depth conversations with practitioners, which features insights from experienced practitioners and leaders across various sectors, sharing their journeys and lessons learned in AI and data.3. Case studies, which explore real-world applications of AI through detailed analyses of practical scenarios, demonstrating the impact and implementation of AI solutions.4. Practical framework for AI implementation, distilled from expert interviews and the author’s professional experience.Furthermore, the book highlights the importance of responsible and ethical AI practices in ensuring that AI technologies are used in ways that are beneficial, fair, and aligned with human values.
Amazon Verified review Amazon
Ian Oxley Oct 16, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
Very useful case studies on how to use AI in business. This book will be enjoyed by business owners, CEOs and anyone interested in AI. Thank you to the author.
Amazon Verified review Amazon
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