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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

Introduction

Sitting across from an astute CEO I had been working closely with, I could sense his growing understanding of AI’s potential to accelerate the growth of his business. His plan to integrate two market-leading businesses was complex yet also a significant opportunity. His questions were increasingly insightful, delving deeper into his organization’s processes and people. He was envisioning the future – one powered by AI.

It was a chance to rethink the operating model of his company. As the weeks passed, he began networking with other external leaders, who were all harnessing data as a strategic asset, leveraging it to gain insights, make informed decisions, and drive growth. 

But, as I witnessed this shift, new questions began to form: How could I scale this understanding through human stories? How could these practices and learnings be applied to other organizations? This marked the beginning of The AI Value Playbook, a practical guide to...

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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
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Publication date, Length, Edition, Language, ISBN-13
Publication date : Aug 30, 2024
Length: 440 pages
Edition : 1st
Language : English
ISBN-13 : 9781835461754
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Product Details

Publication date : Aug 30, 2024
Length: 440 pages
Edition : 1st
Language : English
ISBN-13 : 9781835461754
Category :

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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

Top Reviews
Rating distribution
Full star icon Full star icon Full star icon Full star icon Half star icon 4.9
(13 Ratings)
5 star 92.3%
4 star 7.7%
3 star 0%
2 star 0%
1 star 0%
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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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Delivery time ranges from 7-9 business days for VIC and 8-10 business days for Interstate metro
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Disclaimer:
All orders received before 5 PM U.K time would start printing from the next business day. So the estimated delivery times start from the next day as well. Orders received after 5 PM U.K time (in our internal systems) on a business day or anytime on the weekend will begin printing the second to next business day. For example, an order placed at 11 AM today will begin printing tomorrow, whereas an order placed at 9 PM tonight will begin printing the day after tomorrow.


Unfortunately, due to several restrictions, we are unable to ship to the following countries:

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  2. American Samoa
  3. Belarus
  4. Brunei Darussalam
  5. Central African Republic
  6. The Democratic Republic of Congo
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  8. Guinea-bissau
  9. Iran
  10. Lebanon
  11. Libiya Arab Jamahriya
  12. Somalia
  13. Sudan
  14. Russian Federation
  15. Syrian Arab Republic
  16. Ukraine
  17. Venezuela