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|a 1119278678
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|a 9781119278672
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|a 1119278686
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|a 111927866X
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|a 9781119278689
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|a 9781119278665
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|a HD6331
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|a Frank, Malcolm
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| 245 |
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|a What to do when machines do everything
|b how to get ahead in a world of AI, algorithms, bots, and big data
|c Malcolm Frank, Paul Roehrig, and Ben Pring
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| 260 |
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|a Hoboken, New Jersey
|b Wiley
|c 2017
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| 300 |
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|a 1 online resource
|b illustrations
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| 505 |
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|a Includes bibliographical references and index
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|a If It Costs More than 5, and You Can't Eat It, Instrument It!Table for Two? Or Two Thousand?; The Home-Field Advantage of Big Companies; Data Is Job One; 6: Digital Business Models: Your Five Ways to Beat Silicon Valley; Hybrid Is the New Black; Avoiding the Four Traps; Trap 1: Taking the Easy Way Out of ``Doing Digital ́́vs. ``Being Digital;́́ Trap 2: The FANG Trap; Trap 3: Boiling the Ocean; Trap 4: The Digital Denial Trap; Five Ways to Mine Gold from the New Machines; The Management Opportunity of a Generation; 7: Automate: The Robots Aren't Coming; They're Here
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|a Three Big Reasons Why a Boom Is About to Occur``Ubiquitech-́́Technology Embedded into Everything; By 2030 Standards, We Stink; Becoming Digital: Mastering the Three M's; New Business Models Take Shape in the Stall Zone; From Stall to Boom, a Time of Optimism; 3: There Will Be Blood; Predictions of Massive Job Losses via AI; Manual vs. Knowledge Labor: As Goes the Factory, So Goes the Office?; Don't Confuse Jobs with Tasks; Don't Overlook the Job-Growth Story; The Pace of This Transition; Getting AHEAD in a Time of Churn; 4: The New Machine: Systems of Intelligence; Defining the New Machine
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|a What to Do When Machines Do Everything: How to Get Ahead in a World of AI, Algorithms, Bots, and Big Data; Contents; Preface; 1: When Machines Do Everything; Like It or Not, This Is Happening; Digital That Matters; Playing the New Game; But Will I Be Automated Away?; Getting AHEAD in the Age of the New Machine; 2: From Stall to Boom: We've Been Here Before; When Machines Do Everything, What Happens to Us?; But Haven't Our Computers Made Us More Productive?; Carlota's Way; Riding the Waves; The Burst of Innovation (1980-2000); The Stall (2000-2015); The Build-Out (2015-2040)
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|a Artificial Intelligence: Why a Narrow View Is BestMeet the Machine: Anatomy of a System of Intelligence; Users, Customers, and Employees; The App Interface; The AI ``Innards;́́ Data from Things and Systems of Record; Infrastructure; Systems of Intelligence in Action; The Machine That Is Netflix (Thanks to AI); What Does ``Good ́́Look Like? Attributes of a Successful System of Intelligence; From Vapor to Value; 5: Your New Raw Materials: Data Is Better than Oil; Turning Data from a Liability into an Asset; Managing the Data Supply Chain; Business Analytics: Turning Data into Meaning
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|a Automation Is Not OptionalWe Have Been Automating with Digital for Some Time; Software Should Be Eating Your Core Operations; What to Do on Monday? Flick Your Automation-On Switch; Set Your 25%-25% Automation Imperative; Find Your Process-Automation Targets; Break Through the ``Brass Wall;́́ Build a Repeatable Process to Obliterate Work; Automation Is a Means, Not an End; 8: Halo: Instrument Everything, Change the Game; Every ``Thing ́́Is Now a Code Generator; Three New Rules of Competition; Become a ``Know-It-All;́́ Know Your Back Office Too!; What to Do on Monday? Capitalize on Code
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| 653 |
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|a BUSINESS & ECONOMICS / Management Science / bisacsh
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| 653 |
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|a Technological innovations / Economic aspects / fast
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|a BUSINESS & ECONOMICS / Management / bisacsh
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|a Business
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|a Automation / http://id.loc.gov/authorities/subjects/sh85010116
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| 653 |
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|a Technologie de l'information / Aspect économique
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|a Innovations / Aspect économique
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| 653 |
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|a Information technology / Economic aspects
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|a Information technology / Economic aspects / fast
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|a automation / aat
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|a Automation / fast
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|a Automatisation
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|a Technological innovations / Economic aspects
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|a BUSINESS & ECONOMICS / Organizational Behavior / bisacsh
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|a BUSINESS & ECONOMICS / General
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| 653 |
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|a BUSINESS & ECONOMICS / Industrial Management / bisacsh
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| 700 |
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|a Roehrig, Paul
|e author
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| 700 |
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|a Pring, Benjamin
|e author
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|a eng
|2 ISO 639-2
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|b OREILLY
|a O'Reilly
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| 776 |
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|z 9781119278665
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|u https://learning.oreilly.com/library/view/~/9781119278665/?ar
|x Verlag
|3 Volltext
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|a 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
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| 520 |
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|a 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.
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|a "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.
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