Ebook Free What To Do When Machines Do Everything: How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data, by Malcolm Frank Paul Roehrig

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Review

“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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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 world—and 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 models—part digital, part physical—and 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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Product details

Hardcover: 256 pages

Publisher: Wiley; 1 edition (February 13, 2017)

Language: English

ISBN-10: 9781119278665

ISBN-13: 978-1119278665

ASIN: 111927866X

Product Dimensions:

6.2 x 1.2 x 9.1 inches

Shipping Weight: 12 ounces (View shipping rates and policies)

Average Customer Review:

4.2 out of 5 stars

47 customer reviews

Amazon Best Sellers Rank:

#47,937 in Books (See Top 100 in Books)

This is a wonderful book that is clear, easy to read and extremely informative. It was very engaging and I ended up reading it all in one go! The examples used were super interesting and applicable to my business and also life -- who knew that AI is already better at identifying some cancers than doctors!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.

"What to Do When Machines Do Everything" is a field book for individuals and companies about to be hit by the digital tsunami that is moving from Silicon Valley to every industry in every geography. The book is a quick and engaging read. It will provoke a lot of deep thinking about the impact the New Machines will have on us.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.”

The title of this book may be misleading to some. It is not about how we as individuals make our way in a world of automation and technology integration. Rather, this book provides new ways to think about the solutions organizations will build in the future, how they incorporate human capital and the changes required to bring them about.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.Strengths: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.Challenges: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 issuesDigital 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.

Clever title, which the authors are quick to disavow.Optimistic outlook for our whole planet, all 7 billion of us, based on this next step in our evolution.Two authors (from Cognizant Technology) give detailed account of how - TODAY - increased savings of time and money, as well as double digit improvements in income, as transforming everything from education to insurance and shipping.It won't be long, according to these authors, before the living standard of EVERYone rises.

A very pragmatic enterprise relevant perspective to AI and how businesses can adopt and drive transformation today. Neither a utopian nor a dystopian view to AI but one enriched with very relevant examples of large organizations that are transforming business processes and experiences for customers, partners & employees.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.

Must read for anyone in technology related leadership. Straight forward, comprehensive, practical. Cuts it straight down the middle between AI dystopia and utopia! It all depends on leadership in the end. One possible criticism. I am not quite as optimistic on the future of jobs as the Authors. Still, let's hope they are right!

Instead of painting a dark picture about the future that is coming with the machines, the authors show how can we improve ourselves and our companies in order to get ahead in the future. By the way, that future is already happening. There is a burger place in San Francisco where robots prepare the burgers. But I'm optimistic that there still will be need for people.

Informative, but quite a bit of baseless optimism. For a more pragmatic discussion read Life 3.0 by Tegmark.

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