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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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“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
From the Inside Flap
Discussing the ways digital machines and artificial intelligence (AI) will change our lives seems like a stimulating conversation for a dinner party, but truthfully, the Internet of Things is already reshaping the way we interact with our worldand it's only the beginning. Industries are transforming and careers are rising or falling.
The predominant perspectives on AI range from utopian, where machines create technological miracles and marvels, to dystopian, where labor is replaced by software and malevolent robots. The reality is, smart machines and AI will enable all of us to do more than is humanly possible. What To Do When Machines Do Everything explains what's real, along with a powerful framework for embracing this change, to ensure you and your business stay competitive in the next decade.
Written by thought leaders from Cognizant, one of the world's largest IT professional services companies, this field guide provides leaders at all levels an action plan for thriving in the new era of intelligent machines, including:
- Valuable rules of thumb to inspire and spearhead automation and improvement in every facet of your business
- Insight into the ways AI can mechanize job tasks, without eliminating the job, and boost human performance
- Guidelines for creating new hybrid business modelspart digital, part physicaland the four most-common pitfalls to avoid
Numerous case studies give leaders a firsthand look at how today's pioneering organizations are using AI to advance growth, user experience, and overall value. What To Do When Machines Do Everything gives you the tools and mindset to reinvent yourself and your business.
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Top Customer Reviews
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.
We truly stand on the precipice of massive changes in all aspects of our personal and professional lives. The digital disruption is coming from rapidly emerging technologies, such as Code Halos, Artificial Intelligence (AI), Internet of Things (IoT), Robotics, and Blockchain. The authors provide us their AHEAD approach to navigate the change – Automate, Halos, Enhance, Abundance, and Discovery.
As professionals and business leaders, we don’t have to fear the new Machines, but harness them to our advantage.
Some of my favorite quotes from the book:
“Technology is no longer the domain of the few but the province of the many.”
“It’s clear that the old rules of work and business no longer apply.”
“Fortune favors the brave and punishes the timid.”
“Inaction will result in irrelevance.”
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.
Most Recent Customer Reviews
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