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What To Do When Machines Do Everything: How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data Hardcover – February 13, 2017
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"Instead of being threatened by this new world, I found their practical and helpful advice quite optimistic." (Financial Advisor, March 2017)
“What to Do When Machines Do Everything” helps leaders think beyond their own organizational boundaries and embrace the future of artificial intelligence. The book’s practical advice not only explains how to apply machine-driven solutions at all levels of an organization, it also reveals the skills your employees need to ensure your business stays competitive in this coming age.
– Theo Priestley, Global Evangelist, SAP
"What To Do When Machines Do Everything is an essential guidebook for business executives aiming to understand the incredible Impact AI is having - and will continue to have - on business processes and customer engagement strategies.
While much of the prior AI literature can ascribed to "the sky is falling" category, What To Do When Machines Do Everything dynamically breaks that mold by offering balanced, insightful and pragmatic advice on how to do AI right.
For business executives who believe AI is the "story of our time", What To Do When Machines Do Everything is a must read."
- Gary Beach, Publisher Emeritus, CIO Magazine
“A timely analysis of the strategic implications of the rapid advancements in AI and machine learning (ML) on businesses of all sizes. The book is well-researched with terrific case study examples of companies that are confronting the realities of today's rapidly changing AI/ML environment, and the consequences facing those that aren't. The book also provides useful advice for executives to respond to the AI/ML opportunities and challenges.” – Jeffrey M. Kaplan, Founder and Managing Director, THINKStrategies
“What to Do When Machines Do Everything accurately addresses the elephant in the room: Artificial intelligence makes certain jobs obsolete. But the authors take an optimistic and pragmatic overview of where AI stands today, how it will impact both individuals and organizations, and more importantly, where we go from here. It uses relatable, real-life examples that show how to leverage new technologies to stay competitive, both traditionally and with new entrants. It’s a must-read for those just entering this new world of robots and machine intelligence.” – Flavio Villanustre, VP of Infrastructure & Security at HPCC Systems, LexisNexis
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The "what to do on Monday" approach made it a very action oriented read for any leader to leverage technology to drive exponential business change.
If you are looking for a book about the role of humans in the future environment I would recommend Tom Davenport's "Only Humans Need Apply: Winners and Losers in the Age of Smart Machines," which is a bit academic but very helpful.
If you are interested in exploring the new organizational and business future, then consider this book.
The concept of "Systems of Intelligence" provides a helpful way to think about the future. It represents an updated version of people, process and technology. The authors do a nice job of building out their idea and providing examples.
The distinction between different types of Artificial Intelligence "AI" is helpful. Narrow AI, General AI and Super AI cover the spectrum of these technologies.
The four traps is helpful. These traps include: Doing Digital vs Being Digital; FANG Trap; "Boiling the Ocean"; and the Denial Trap.
The discussion of a new digital business model based on Abundance is an interesting way of recognizing the reality of digital and its impact on business economics.
The book posits a number of different themes that compete with each other in the first few chapters. This makes the first section choppy as you are not sure what this book is about as it ranges from lag between technology and business growth, luddism, technology supremacy, etc. It is like each author had their own idea and they were mixed together at the start. I would suggest skimming the first three chapters as the meat starts in chapter 4 -- The New Machine.
Chapter 5 on data is rather weak and limited, particularly in light of the rest of the book that demonstrates that the authors have thought through other issues
Digital Business Models was rather standard. Ideas about automation, making things smart, enhancing human beings, digital abundance and discovering innovation opportunities is rather generic even with a chapter devoted to each model. Developing these model in the idea of Systems of Intelligence would have been really nice and pulled the book together.
This book is written by three authors related to Cognizant, a technology services and consulting firm. Reading the book with this in mind is important.
Rather than the doom and gloom that so many books about the future present, this book takes a more positive slant. I appreciated their research and comparison of this upcoming AI revolution with the previous 4 industrial revolutions. Honestly, I feel better about the future now after reading this. The authors also included a helpful framework to think through how machines can be used successfully in my business. I highly recommend this book for business leaders, innovators and technologists.
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Optimistic outlook for our whole planet, all 7 billion of us, based on this next step in our evolution.Read more