What To Do When Machines Do Everything: How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data

What To Do When Machines Do Everything: How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data


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Product Details

ISBN-13: 9781119278665
Publisher: Wiley
Publication date: 02/13/2017
Pages: 256
Sales rank: 257,929
Product dimensions: 6.20(w) x 9.10(h) x 1.10(d)

About the Author

MALCOLM FRANK is the executive vice president of strategy and marketing at Cognizant, a global technology consultancy of over 250,000 employees.

PAUL ROEHRIG is vice president of strategy and marketing for Cognizant Digital Business and a founder of the Center for the Future of Work.

BEN PRING leads Cognizant's Center for the Future of Work, which helps clients bring the future of work to life—today.

Malcolm, Paul, and Ben are also co-authors of Code Halos: How the Digital Lives of People, Things, and Organizations are Changing the Rules of Business.

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Table of Contents

Preface ix

Chapter 1 When Machines Do Everything 1

Like It or Not, This Is Happening 3

Digital That Matters 4

Playing the New Game 6

But Will I Be Automated Away? 8

Getting AHEAD in the Age of the New Machine 9

Chapter 2 From Stall to Boom: We’ve Been Here Before 13

When Machines Do Everything, What Happens to Us? 14

But Haven’t Our Computers Made Us More

Productive? 15

Carlota’s Way 16

Riding the Waves 17

Three Big Reasons Why a Boom Is About to Occur 21

From Stall to Boom, a Time of Optimism 31

Chapter 3 There Will Be Blood 33

Predictions of Massive Job Losses via AI 33

Manual vs. Knowledge Labor: As Goes the Factory, So

Goes the Office? 36

Don’t Confuse Jobs with Tasks 38

Don’t Overlook the Job-Growth Story 40

The Pace of This Transition 42

Getting AHEAD in a Time of Churn 43

Chapter 4 The New Machine: Systems of Intelligence 45

Defining the New Machine 46

Meet the Machine: Anatomy of a System of Intelligence 50

Systems of Intelligence in Action 56

What Does “Good” Look Like? Attributes of a Successful System of Intelligence 59

From Vapor to Value 63

Chapter 5 Your New Raw Materials: Data Is Better than Oil 65

Turning Data from a Liability into an Asset 66

Managing the Data Supply Chain 68

Business Analytics: Turning Data into Meaning 70

If It Costs More than $5, and You Can’t Eat It, Instrument It! 71

The Home-Field Advantage of Big Companies 73

Data Is Job One 76

Chapter 6 Digital Business Models: Your Five Ways to Beat Silicon Valley 77

Hybrid Is the New Black 81

Avoiding the Four Traps 82

Five Ways to Mine Gold from the New Machines 90

The Management Opportunity of a Generation 92

Chapter 7 Automate: The Robots Aren’t Coming; They’re Here 95

Automation Is Not Optional 96

Software Should Be Eating Your Core Operations 102

What to Do on Monday? Flick Your Automation-On Switch 107

Automation Is a Means, Not an End 113

Chapter 8 Halo: Instrument Everything, Change the Game 115

Every “Thing” Is Now a Code Generator 116

Become a “Know-It-All” 120

What to Do on Monday? Capitalize on Code 124

Digits over Widgets: The Next Age of Business and Technology 132

Chapter 9 Enhance: Amplify Human Performance with the New Machine 133

Stone Age, Bronze Age, Iron Age . . . Digital Age 135

Enhanced Jobs Will Be Protected Jobs 136

Smart Robots Make Smarter Hands 141

What to Do on Monday? Partner with Systems of Intelligence 145

You + New Tools = Enhancement 151

Chapter 10 Abundance: Finding Your 10X Opportunities with the New Machine 153

What to Do on Monday? Find Abundance in Your Organization 157

Increasing Prosperity by Lowering Prices 165

Chapter 11 Discovery: Manage Innovation for the Digital Economy 167

R&D Without AI Is No R&D at All 171

Discovery Is Hard, but Not as Hard as Being Irrelevant 176

What to Do on Monday? Don’t Short Human Imagination 176

Create Your Own Budding Effect 185

Chapter 12 Competing on Code: A Call to Action from the Future 187

AI for Pragmatists 188

The Digital Build-Out Is Here 189

Align the Three M’s 190

Move AHEAD 191

Courage and Faith in the Future 192

Acknowledgments 195

Photo Credits 197

Disclaimers 199

Notes 205

Index 223

What People are Saying About This

From the Publisher

“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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