Description
From the Publisher
Editorial Reviews
Review
“The Business Case for AI” is a good introduction for IT and line managers to think about how to integrate artificial intelligence into their organizations.
— FORBES MAGAZINEThe Business Case for AI is perfect for AI fanatics and AI skeptics alike. From defining AI and its various forms to explaining exactly how companies should approach AI to see the results they want, Kavita Ganesan’s no-fluff book helps make the AI conversation a whole lot easier.
—CUSTOMER CONTACT WEEK CONFERENCE & MAGAZINEKavita Ganesan has written a must-read for leaders looking to succeed with AI in the enterprise. Kavita’s writing style makes a deeply technical topic accessible to every leader, from the C-suite to product managers. If you’re interested in learning what AI can do, how to prepare for it and correctly leverage it in your organization, start with this book.
— MARK VARGHESE, TECHNOLOGY DIRECTOR AT EXPEDIAA practical guide for any leader looking to dip their foot into AI—full of important information for those of us who want to learn the myths, realities, and possibilities of AI so we can apply them to our own domain.
—BRIAN WANG, DIRECTOR OF RADIATION ONCOLOGY PHYSICS AT YALEThe Business Case for AI provides answers to some of the most important questions in the adoption of AI.
—HARSHAL DEO, FORMER VP OF PAYPALA comprehensive guide to how organizations can start integrating AI. In this book, Kavita helps readers establish an AI mindset and provides strategies for preparing for AI and navigating AI opportunities for success. Whether your organization is new to AI or you’ve tried AI without much success, this book will equip leaders in making critical decisions in their AI journey.
—GRANT INGERSOLL, FORMER CTO OF WIKIMEDIA FOUNDATION (WIKIPEDIA)
— FORBES MAGAZINEThe Business Case for AI is perfect for AI fanatics and AI skeptics alike. From defining AI and its various forms to explaining exactly how companies should approach AI to see the results they want, Kavita Ganesan’s no-fluff book helps make the AI conversation a whole lot easier.
—CUSTOMER CONTACT WEEK CONFERENCE & MAGAZINEKavita Ganesan has written a must-read for leaders looking to succeed with AI in the enterprise. Kavita’s writing style makes a deeply technical topic accessible to every leader, from the C-suite to product managers. If you’re interested in learning what AI can do, how to prepare for it and correctly leverage it in your organization, start with this book.
— MARK VARGHESE, TECHNOLOGY DIRECTOR AT EXPEDIAA practical guide for any leader looking to dip their foot into AI—full of important information for those of us who want to learn the myths, realities, and possibilities of AI so we can apply them to our own domain.
—BRIAN WANG, DIRECTOR OF RADIATION ONCOLOGY PHYSICS AT YALEThe Business Case for AI provides answers to some of the most important questions in the adoption of AI.
—HARSHAL DEO, FORMER VP OF PAYPALA comprehensive guide to how organizations can start integrating AI. In this book, Kavita helps readers establish an AI mindset and provides strategies for preparing for AI and navigating AI opportunities for success. Whether your organization is new to AI or you’ve tried AI without much success, this book will equip leaders in making critical decisions in their AI journey.
—GRANT INGERSOLL, FORMER CTO OF WIKIMEDIA FOUNDATION (WIKIPEDIA)
About the Author
Kavita Ganesan is an AI strategist, educator, and consultant. With a Ph.D. from the University of Illinois at Urbana Champaign and over fifteen years of experience in the field, Kavita has managed and overseen the success of over two dozen AI initiatives for a wide range of organizations, from midsize operations to Fortune 500s.
An educator and collaborator at heart, she helps thousands of leaders and AI practitioners get meaningful outcomes from AI through her blog articles, coaching and training sessions, and open-source tools. Learn more at
kavita-ganesan.com.
R B –
This is a well written book and covers the 30,000 foot view of AI for business applications. This is not overly technical, but it does articulate some of the terminology from a holistic view. She also discusses points when AI may not be viable for business applications. This is definitely an eye-opener for those wanting to keep up with AI. This is only the beginning of a new realm of technologies and the author gives the ready a good start from a business perspective. Recommended.
Kim Holloway –
I’m and IT Project Manager and Sr. Analyst and I’m just getting started on my journey learning about AI. I purchased four different books and this is by far the best of them as far as providing very practical advice for people who need to build a business case for a project, initiative or strategy. Well written!
Eric jacobs –
Honestly, I did not not have high expectations but the book pleasantly over delivered. Quite often books like this have a great deal of fluff but I did not feel that way in this case. I would not hesitate to recommend the book or to get it for some of my staff which I will in the near future.
Mark –
I sailed through this book, which for me alternated between two related but distinct guides; on the one hand being a beautifully prescriptive book that I can use to guide Exec level teams through the years of AI disruption that we’re entering, and on the other simply as a fascinating insight into the mindsets we’re all going to have to develop as we approach this defining tech revolution of our generation.Highly recommend. Very easy to read writing style, humble points of view, non preachy but very insightful and genuinely, practically useful.
Hank Cecil –
This book brought together many topics necessary for a business owner or manager regarding AI. There will be those businesses that develop and implement AI and those that don’t. Those who do have a clear competitive advantage and those who don’t will gradually merge, be purchased, or go out of business.
Kelly Peterson –
This book does what I wish more did: It immediately begins in a conversational tone to encourage a moment to pause and think about the current hype that we may ingest on topics around AI. Far too many writings explain AI and machine learning as a “magic bullet” which can solve any problem — all with a small or nonexistent budget. Dr. Ganeson dispels these myths with a balance of experience from industry to academia. For example, Chapter 2 concretely defines the difference between general and narrow intelligence in a way that is useful for anyone considering developing advanced capability in their enterprise. If I could wave a magic wand, immediately all executives in the world would see that a pamphlet based on Chapter 4 (Myths) would appear in their pocket so that more time could be spent on problem definition and what is truly possible rather than chasing miracles which are destined to fail.Throughout this book are excellent figures which illustrate the concepts being covered. Written in direct and concise language, most arguments are direct and applicable such as the warnings about the pitfaill of “AI for AI’s sake”. Finally, besides proper definitions and realistic expectations, the latter portions of this book provide an actionable framework for discovering and then implementing AI solutions. After all, if I could paraphrase Dr. Ganeson, too many organizations dive head first into developing solutions without forethought and planning about the goals, metrics and promise. Such efforts are likely destined to fail without adequate planning while the latter portions of this book provide a framework to prevent such failures.
Deexith Reddy –
The last decade was decade of data for business leaders. The next one will be the decade of AI. As business strategists, this book will be a very good primer. These strategies will come across as a very good start and build your strategy. A good foundation of AI in business starts with this book. Kavitha has put together a very good list of case studies.
Simer Singh Sethi –
This book offers a comprehensive overview of how AI is transforming the business landscape, and guides readers through the complexities of this evolving field. From conceptualization and preparation to project implementation and measuring success, the book covers all aspects of AI. Readers will gain valuable insights into how to navigate the intricacies of AI and leverage its potential for their business.The Dr. Kavita’s clear writing style and insightful examples make it a must-read for anyone interested in leveraging the power of AI from a business perspective.
Kindra Abbott –
Message to the author: I wanted to send you praise for your book. Thank you for making it deep enough and easy enough to digest that the content stuck. I’m excited to apply the templates online. Hoping to set a clients roadmap with one in the near future.
David Yoo –
It was a very good book that practical application to how to reason thru implementing AI in a company. Awesome.