デジタル時代のビジネスの未来<br>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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デジタル時代のビジネスの未来
What To Do When Machines Do Everything : How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data

  • 著者名:Frank, Malcolm/Roehrig, Paul/Pring, Ben
  • 価格 ¥2,158 (本体¥1,999)
  • Wiley(2017/01/18発売)
  • ポイント 19pt (実際に付与されるポイントはお支払い画面でご確認下さい)

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Description

“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.

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

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