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- Wiley
More About This Title What to Do When Machines Do Everything: How to GetAhead in a World of AI, Algorithms, Bots, and Big Data
English
“Refreshingly thought-provoking…” – The Financial Times
The essential playbook for the future of your business
What To Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on Artificial Intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans it raises profound questions on the future of work and how companies compete. Illustrated with real-world cases, data, and insight, the authors provide clear strategic guidance and actionable steps to help you and your organization move ahead in a world where exponentially developing new technologies are changing how value is created.
Written by a team of business and technology expert practitioners—who also authored Code Halos: How the Digital Lives of People, Things, and Organizations are Changing the Rules of Business—this book provides a clear path to the future of your work.
The first part of the book examines the once in a generation upheaval most every organization will soon face as systems of intelligence go mainstream. The authors argue that contrary to the doom and gloom that surrounds much of IT and business at the moment, we are in fact on the cusp of the biggest wave of opportunity creation since the Industrial Revolution. Next, the authors detail a clear-cut business model to help leaders take part in this coming boom; the AHEAD model outlines five strategic initiatives—Automate, Halos, Enhance, Abundance, and Discovery—that are central to competing in the next phase of global business by driving new levels of efficiency, customer intimacy and innovation.
Business leaders today have two options: be swallowed up by the ongoing technological evolution, or ride the crest of the wave to new profits and better business. This book shows you how to avoid your own extinction event, and will help you;
- Understand the untold full extent of technology's impact on the way we work and live.
- Find out where we're headed, and how soon the future will arrive
- Leverage the new emerging paradigm into a sustainable business advantage
- Adopt a strategic model for winning in the new economy
The digital world is already transforming how we work, live, and shop, how we are governed and entertained, and how we manage our money, health, security, and relationships. Don't let your business—or your career—get left behind. What To Do When Machines Do Everything is your strategic roadmap to a future full of possibility and success. Or peril.
English
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.
English
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
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– 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
