LEADER 04846nam 2200577 450 001 9910792636003321 005 20200520144314.0 010 $a1-119-27868-6 035 $a(CKB)3710000001024821 035 $a(DLC) 2017004469 035 $a(Au-PeEL)EBL4790360 035 $a(CaPaEBR)ebr11332851 035 $a(CaONFJC)MIL989114 035 $a(OCoLC)970635856 035 $a(CaSebORM)9781119278665 035 $a(MiAaPQ)EBC4790360 035 $a(EXLCZ)993710000001024821 100 $a20170206h20172017 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aWhat to do when machines do everything $ehow to get ahead in a world of AI, algorithms, bots, and big data /$fMalcolm Frank, Paul Roehrig, and Ben Pring 205 $a1st edition 210 1$aHoboken, New Jersey :$cWiley,$d2017. 210 4$dİ2017 215 $a1 online resource (259 pages) 300 $aIncludes index. 311 $a1-119-27866-X 311 $a1-119-27867-8 320 $aIncludes bibliographical references. 327 $aWhen machines do everything -- From stall to boom: we've been here before -- There will be blood -- The new machine: systems of intelligence -- Your new raw materials: data is better than oil -- Digital business models: your five ways to beat Silicon Valley -- Automate: the robots aren't coming; they're here -- Halo: instrument everything, change the game -- Enhance: amplify human performance with the New Machine -- Abundance: finding your 10X opportunities with the New Machine -- Discovery: manage innovation for the digital economy -- Competing on code: a call to action from the future. 330 $aThe 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. 606 $aAutomation 606 $aInformation technology$xEconomic aspects 606 $aTechnological innovations$xEconomic aspects 615 0$aAutomation. 615 0$aInformation technology$xEconomic aspects. 615 0$aTechnological innovations$xEconomic aspects. 676 $a658/.05 700 $aFrank$b Malcolm$01490560 702 $aRoehrig$b Paul 702 $aPring$b Benjamin$f1962- 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910792636003321 996 $aWhat to do when machines do everything$93808234 997 $aUNINA