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020 _a9783110775099
_qprint
020 _a9783110775198
_qEPUB
020 _a9783110775112
_qPDF
024 7 _a10.1515/9783110775112
_2doi
035 _a(DE-B1597)9783110775112
035 _a(DE-B1597)612796
035 _a(OCoLC)1342501426
040 _aDE-B1597
_beng
_cDE-B1597
_erda
072 7 _aBUS041000
_2bisacsh
084 _aonline - DeGruyter
245 0 4 _aThe Rise of AI-Powered Companies /
_ced. by Martin Reeves, François Candelon.
264 1 _aBerlin ;
_aBoston :
_bDe Gruyter,
_c[2022]
264 4 _c©2022
300 _a1 online resource (XI, 113 p.)
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 0 _aInspiring the Next Game : Strategy Ideas for Forward Looking Leaders ,
_x2701-8857
505 0 0 _tFrontmatter --
_tAcknowledgments --
_tAbout the BCG Henderson Institute --
_tContents --
_tIntroduction --
_tPart I: The AI-Powered Company --
_tChapter 1 The Rise of the AI-Powered Company in the Post-Crisis World --
_tChapter 2 How AI-Powered Companies Dodged the Worst Damage from COVID --
_tChapter 3 China’s Response to COVID-19 Showed the World How to Make the Most of AI --
_tChapter 4 At These Companies, AI Is Already Driving Revenue Growth --
_tChapter 5 The New Consumer Conversation in an Era of Uncertainty --
_tChapter 6 Getting the Balance Right: Three Keys to Perfecting the Human-AI Combination for Your Business --
_tPart II: The Path to Becoming AI-Powered --
_tSection A: Data Strategy --
_tChapter 7 Data Alchemy Can Give Decision Making the Golden Touch --
_tChapter 8 How Far Can Your Data Go? --
_tChapter 9 Simple Governance for Data Ecosystems --
_tChapter 10 What B2B Can Learn from B2C About Data Privacy and Sharing --
_tSection B: Human-AI Collaboration --
_tChapter 11 Are You Making the Most of Your Relationship with Al? --
_tChapter 12 AI Won’t Break Your Company’s Culture – And It Might Even Boost Morale --
_tChapter 13 AI Could Make Your Company More Productive – But Not If It Makes Your People Less Happy --
_tSection C: Responsible AI and the Social License to Operate --
_tChapter 14 AI-at-Scale Hinges on Gaining a “Social License” --
_tChapter 15 With AI, Business Leaders Must Prioritize Safety Over Speed --
_tChapter 16 This Is Why We Need to Talk About Responsible Al --
_tChapter 17 Six Steps to Bridge the Responsible AI Gap --
_tList of Figures --
_tIndex
506 0 _arestricted access
_uhttp://purl.org/coar/access_right/c_16ec
_fonline access with authorization
_2star
520 _aArtificial intelligence is emerging as a game-changer in the business world, with impacts across all sectors. AI allows business to process massive amounts of data instantaneously, and to scale solutions at almost zero marginal cost, forcing companies to adapt and reimagine their business and operations. The Rise of AI-Powered Companies examines some of the most successful examples of companies using artificial intelligence to their advantage. From AI-enabled countries across the globe that stayed resilient and strong in the face of COVID-19, to Business-to-Consumer businesses that transformed their product development processes thanks to unprecedented amounts of consumer data, increasing their revenues manifold along the way. The book then delves into the critical enablers to becoming AI-powered and the critical steps to activate and integrate them within business organizations. Starting with data strategy, it examines new forms of data sharing and how companies should think about governance and privacy risks. It then focuses on human–AI collaboration and its role in building a stronger team culture. Finally, "Responsible AI" is discussed as well as the impact of AI-powered businesses on society at large. AI-powered companies will become the norm in the years to come. By unpacking and showcasing the major steps of a successful AI transformation, this book will help guide organizations in making the critical leap to become AI-powered—essential to survive and remain competitive in the near future.
530 _aIssued also in print.
538 _aMode of access: Internet via World Wide Web.
546 _aIn English.
588 0 _aDescription based on online resource; title from PDF title page (publisher's Web site, viewed 02. Mai 2023)
650 4 _aBig Data.
650 4 _aDatenökosystem.
650 4 _aKünstliche Intelligenz.
650 7 _aBUSINESS & ECONOMICS / Management.
_2bisacsh
653 _aData alchemy.
653 _aData ecosystems.
653 _aHuman-technology interaction.
653 _aNext-gen learning.
653 _aPersonalized customer journey.
653 _aResponsible technology.
653 _aTech for good.
700 1 _aBaltassis, Elias
_eautore
700 1 _aCandelon, François
_eautore
_ecuratore
700 1 _aCarlisi, Cathy
_eautore
700 1 _aCarlo, Rodolphe Charme di
_eautore
700 1 _aChu, Michael
_eautore
700 1 _aDe Bondt, Midas
_eautore
700 1 _aDing, Bowen
_eautore
700 1 _aDuranton, Sylvain
_eautore
700 1 _aEl Bedraoui, Hind
_eautore
700 1 _aEvgeniou, Theodoros
_eautore
700 1 _aFeng, Tian
_eautore
700 1 _aGallego, Andrea
_eautore
700 1 _aGombeaud, Matthieu
_eautore
700 1 _aHa, Su Min
_eautore
700 1 _aKhodabandeh, Shervin
_eautore
700 1 _aKiron, David
_eautore
700 1 _aLaFountain, Burt
_eautore
700 1 _aLim, Daniel
_eautore
700 1 _aMcDonald, Colleen
_eautore
700 1 _aMills, Steven D.
_eautore
700 1 _aRansbotham, Sam
_eautore
700 1 _aReeves, Martin
_ecuratore
700 1 _aReichert, Tom
_eautore
700 1 _aRusso, Massimo
_eautore
700 1 _aSantinelli, Maximiliano
_eautore
700 1 _aStokol, Georgie
_eautore
700 1 _aTordjman, Karen Lellouche
_eautore
850 _aIT-RoAPU
856 4 0 _uhttps://doi.org/10.1515/9783110775112
856 4 0 _uhttps://www.degruyter.com/isbn/9783110775112
856 4 2 _3Cover
_uhttps://www.degruyter.com/document/cover/isbn/9783110775112/original
942 _cEB
999 _c243383
_d243383