How AI is transforming the organization

Introduction / Sam Ransbotham -- AI-driven leadership / Thomas H. Davenport and Janet Foutty -- Could AI be the cure for workplace gender inequality? / Megan Beck and Barry Libert -- Using artificial intelligence to promote diversity / Paul R. Daugherty, H. James Wilson, and Rumman Chowdhury -- Prep...
Ausführliche Beschreibung

Gespeichert in:

Körperschaften:	MIT Sloan Management Review, Firma [Herausgebendes Organ]

Format:	E-Book
Sprache:	Englisch

Erschienen:	Cambridge, Massachusetts: The MIT Press ; 2020 © 2020

Rechteinformationen:	Restricted to subscribers or individual electronic text purchasers.

Schlagwörter:	Organisatorischer Wandel / Künstliche Intelligenz Künstliche Intelligenz / Organisationswandel / Organisationskultur
Schlagwörter:	Automation, Management Artificial intelligence, Industrial applications Employees, Effect of automation on Organizational change Business ; Technological innovations ; Case studies Management ; Technological innovations ; Case studies Artificial intelligence ; Case studies Human capital ; Case studies

Systematik:	ST 300 QP 200 QP 340

Anmerkung:	"Books in the Digital Future of Management series draw from the print and web pages of MIT Sloan Management Review to deliver expert insights and sharply tuned advice on navigating the unprecedented challenges of the digital world"--Series foreword Includes bibliographical references and index
Umfang:	1 Online-Ressource (xvii, 157 Seiten)

Weitere Ausgabe:	Erscheint auch als Druck-Ausgabe: How AI is transforming the organization - Cambridge, Massachusetts : The MIT Press, 2020

Reihe:	The digital future of management series

Links:	Link aufrufen Link aufrufen Inhaltsverzeichnis
ISBN:	978-0-262-35751-7

Katalog-ID:	1702952134

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520			\|a Introduction / Sam Ransbotham -- AI-driven leadership / Thomas H. Davenport and Janet Foutty -- Could AI be the cure for workplace gender inequality? / Megan Beck and Barry Libert -- Using artificial intelligence to promote diversity / Paul R. Daugherty, H. James Wilson, and Rumman Chowdhury -- Preparing for the coming skill shift / Jacques Bughin -- Getting your employees ready for work in the age of AI / Eva Sage-Gavin, Madhu Vazirani, and Francis Hintermann -- The challenge of scaling soft skills / Lynda Gratton -- The time for retraining is now / R. Edward Freeman and James R. Freeland -- Don't let artificial intelligence supercharge bad processes / Sam Ransbotham -- Unlocking the value of augmented reality data / Joe Biron and Jonathan Lang -- Unpacking the AI-productivity paradox / Erik Brynjolfsson, Daniel Rock, and Chad Syverson -- Using AI to enhance business operations / Monideepa Tarafdar, Cynthia M. Beath, and Jeanne W. Ross -- Every leader's guide to the ethics of AI / Thomas H. Davenport and Vivek Katyal -- When people don't trust algorithms / Berkeley J. Dietvorst, interviewed by Paul Michelman -- The risk of machine learning bias (and how to prevent it) / Chris DeBrusk -- Even if AI can cure loneliness--should it? / David Kiron and Gregory Unruh -- AI can help us live more deliberately / Julian Friedland -- Building a robotic colleague with personality / Guy Hoffman, interviewed by Frieda Klotz.
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Indexfelder

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allfields	9780262357517 978-0-262-35751-7 (DE-627)1702952134 (DE-599)KXP1702952134 (OCoLC)1145245307 (MITPRESS)9072232 (EBP)062309897 DE-627 ger DE-627 rda eng XD-US XA-GB HD45.2 658/.0563 LOC ST 300 SEPA rvk (DE-625)rvk/143650: QP 200 SEPA rvk (DE-625)rvk/141839: QP 340 SEPA rvk (DE-625)rvk/141861: How AI is transforming the organization MIT Sloan management review How artificial intelligence is transforming the organization Cambridge, Massachusetts The MIT Press [2020] © 2020 1 Online-Ressource (xvii, 157 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The digital future of management series "Books in the Digital Future of Management series draw from the print and web pages of MIT Sloan Management Review to deliver expert insights and sharply tuned advice on navigating the unprecedented challenges of the digital world"--Series foreword Includes bibliographical references and index Restricted to subscribers or individual electronic text purchasers. Introduction / Sam Ransbotham -- AI-driven leadership / Thomas H. Davenport and Janet Foutty -- Could AI be the cure for workplace gender inequality? / Megan Beck and Barry Libert -- Using artificial intelligence to promote diversity / Paul R. Daugherty, H. James Wilson, and Rumman Chowdhury -- Preparing for the coming skill shift / Jacques Bughin -- Getting your employees ready for work in the age of AI / Eva Sage-Gavin, Madhu Vazirani, and Francis Hintermann -- The challenge of scaling soft skills / Lynda Gratton -- The time for retraining is now / R. Edward Freeman and James R. Freeland -- Don't let artificial intelligence supercharge bad processes / Sam Ransbotham -- Unlocking the value of augmented reality data / Joe Biron and Jonathan Lang -- Unpacking the AI-productivity paradox / Erik Brynjolfsson, Daniel Rock, and Chad Syverson -- Using AI to enhance business operations / Monideepa Tarafdar, Cynthia M. Beath, and Jeanne W. Ross -- Every leader's guide to the ethics of AI / Thomas H. Davenport and Vivek Katyal -- When people don't trust algorithms / Berkeley J. Dietvorst, interviewed by Paul Michelman -- The risk of machine learning bias (and how to prevent it) / Chris DeBrusk -- Even if AI can cure loneliness--should it? / David Kiron and Gregory Unruh -- AI can help us live more deliberately / Julian Friedland -- Building a robotic colleague with personality / Guy Hoffman, interviewed by Frieda Klotz. "This collection contains concrete examples of how organizations are creating business value with AI today and offers guidance to organizations that have not made as much progress, as well as considering how AI may transform organizations of the future. Divided into four parts (people, strategy & operations, trust & ethics, and future thoughts), this collection highlights ways in which companies have successfully incorporated AI into their operations, enhancing and supporting the work done by human employees rather than replacing them. 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spelling	9780262357517 978-0-262-35751-7 (DE-627)1702952134 (DE-599)KXP1702952134 (OCoLC)1145245307 (MITPRESS)9072232 (EBP)062309897 DE-627 ger DE-627 rda eng XD-US XA-GB HD45.2 658/.0563 LOC ST 300 SEPA rvk (DE-625)rvk/143650: QP 200 SEPA rvk (DE-625)rvk/141839: QP 340 SEPA rvk (DE-625)rvk/141861: How AI is transforming the organization MIT Sloan management review How artificial intelligence is transforming the organization Cambridge, Massachusetts The MIT Press [2020] © 2020 1 Online-Ressource (xvii, 157 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The digital future of management series "Books in the Digital Future of Management series draw from the print and web pages of MIT Sloan Management Review to deliver expert insights and sharply tuned advice on navigating the unprecedented challenges of the digital world"--Series foreword Includes bibliographical references and index Restricted to subscribers or individual electronic text purchasers. Introduction / Sam Ransbotham -- AI-driven leadership / Thomas H. Davenport and Janet Foutty -- Could AI be the cure for workplace gender inequality? / Megan Beck and Barry Libert -- Using artificial intelligence to promote diversity / Paul R. Daugherty, H. James Wilson, and Rumman Chowdhury -- Preparing for the coming skill shift / Jacques Bughin -- Getting your employees ready for work in the age of AI / Eva Sage-Gavin, Madhu Vazirani, and Francis Hintermann -- The challenge of scaling soft skills / Lynda Gratton -- The time for retraining is now / R. Edward Freeman and James R. Freeland -- Don't let artificial intelligence supercharge bad processes / Sam Ransbotham -- Unlocking the value of augmented reality data / Joe Biron and Jonathan Lang -- Unpacking the AI-productivity paradox / Erik Brynjolfsson, Daniel Rock, and Chad Syverson -- Using AI to enhance business operations / Monideepa Tarafdar, Cynthia M. Beath, and Jeanne W. Ross -- Every leader's guide to the ethics of AI / Thomas H. Davenport and Vivek Katyal -- When people don't trust algorithms / Berkeley J. Dietvorst, interviewed by Paul Michelman -- The risk of machine learning bias (and how to prevent it) / Chris DeBrusk -- Even if AI can cure loneliness--should it? / David Kiron and Gregory Unruh -- AI can help us live more deliberately / Julian Friedland -- Building a robotic colleague with personality / Guy Hoffman, interviewed by Frieda Klotz. "This collection contains concrete examples of how organizations are creating business value with AI today and offers guidance to organizations that have not made as much progress, as well as considering how AI may transform organizations of the future. Divided into four parts (people, strategy & operations, trust & ethics, and future thoughts), this collection highlights ways in which companies have successfully incorporated AI into their operations, enhancing and supporting the work done by human employees rather than replacing them. Contributions cut through the hype and and alarmism, pointing out that few (if any) organizations are deriving value from human-mimicking AI; rather, the most advantageous applications of AI are in complementing employees' skills, not substituting (poorly) for them"-- 1.1\x Organisatorischer Wandel (DE-627)091381894 (DE-2867)12105-5 stw 1.2\x Künstliche Intelligenz (DE-627)091373379 (DE-2867)15611-3 stw Automation Management Artificial intelligence Industrial applications Employees Effect of automation on Organizational change Business ; Technological innovations ; Case studies Management ; Technological innovations ; Case studies Artificial intelligence ; Case studies Human capital ; Case studies s (DE-588)4033447-8 (DE-627)106257188 (DE-576)209002050 Künstliche Intelligenz gnd s (DE-588)4075693-2 (DE-627)106085239 (DE-576)209199040 Organisationswandel gnd s (DE-588)4115463-0 (DE-627)105814156 (DE-576)209493461 Organisationskultur gnd (DE-627) MIT Sloan Management Review Firma Herausgebendes Organ (DE-588)1162658002 (DE-627)1026824583 (DE-576)507562550 isb 9780262538398 Erscheint auch als Druck-Ausgabe How AI is transforming the organization Cambridge, Massachusetts : The MIT Press, 2020 xvii, 157 Seiten (DE-627)1685097367 9780262538398 https://ieeexplore.ieee.org/book/9072232 X:MITPRESS Verlag lizenzpflichtig https://www.gbv.de/dms/bowker/toc/9780262538398.pdf 2020-10-18 Aggregator Inhaltsverzeichnis ZDB-37-IEM ZDB-37-IEM 2020 GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_22_i22818 GBV_ILN_23 ISIL_DE-830 GBV_ILN_62 ISIL_DE-28 GBV_ILN_70 ISIL_DE-89 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_370 ISIL_DE-1373 ST 300 Allgemeines Informatik Monografien Künstliche Intelligenz Allgemeines (DE-627)1271119005 (DE-625)rvk/143650: (DE-576)201119005 QP 200 Allgemeines Wirtschaftswissenschaften Allgemeine Betriebswirtschaftslehre Forschung. Rationalisierung und Wachstum des Unternehmens Allgemeines (DE-627)1271503980 (DE-625)rvk/141839: (DE-576)201503980 QP 340 Allgemeines Wirtschaftswissenschaften Allgemeine Betriebswirtschaftslehre Unternehmensführung Organisation Allgemeines (DE-627)1270742868 (DE-625)rvk/141861: (DE-576)200742868 BO 045F 658/.0563 22 01 0018 3848473925 olrm-h228-MITIEEE zi22818 03-02-21 23 01 0830 3729069470 olr-MIT i z 23-07-20 62 01 0028 3755859815 OLR-MIT Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 16-09-20 70 01 0089 3692425309 OLR-IEEE-WILEY Campusweiter Zugriff (Universität Hannover). - Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 07-05-20 100 01 3100 4472466546 09 --%%-- eBook MIT Press --%%-- --%%-- OLR-MIT-CEC Vervielfältigungen (z.B. Kopien, Downloads) sind nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 30-01-24 370 01 4370 4011220825 olr-ebook mitieee Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 01-12-21 22 01 0018 Volltextzugang Campus https://ieeexplore.ieee.org/book/9072232 22 01 0018 Nur für Angehörige der Universität Hamburg: Volltextzugang von außerhalb des Campus http://emedien.sub.uni-hamburg.de/han/ieee/ieeexplore.ieee.org/book/9072232 23 01 0830 MIT Press EBook https://ieeexplore.ieee.org/book/9072232 62 01 0028 https://ieeexplore.ieee.org/book/9072232 70 01 0089 https://ieeexplore.ieee.org/servlet/opac?bknumber=9072232 100 01 3100 https://ieeexplore.ieee.org/book/9072232 100 01 3100 für Uniangehörige: Zugang weltweit http://han.med.uni-magdeburg.de/han/mitvia-ieee/ieeexplore.ieee.org/book/9072232 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://ieeexplore.ieee.org/book/9072232 23 01 0830 2018-01805, 2018-01806, 2018-01808 22 01 0018 olrm-h228-MITIEEE 23 01 0830 olr-MIT 62 01 0028 OLR-MIT 70 01 0089 OLR-IEEE-WILEY 70 01 0089 ACQ 100 01 3100 OLR-MIT-CEC 370 01 4370 olr-ebook mitieee 370 01 4370 2021.12.01
allfields_unstemmed	9780262357517 978-0-262-35751-7 (DE-627)1702952134 (DE-599)KXP1702952134 (OCoLC)1145245307 (MITPRESS)9072232 (EBP)062309897 DE-627 ger DE-627 rda eng XD-US XA-GB HD45.2 658/.0563 LOC ST 300 SEPA rvk (DE-625)rvk/143650: QP 200 SEPA rvk (DE-625)rvk/141839: QP 340 SEPA rvk (DE-625)rvk/141861: How AI is transforming the organization MIT Sloan management review How artificial intelligence is transforming the organization Cambridge, Massachusetts The MIT Press [2020] © 2020 1 Online-Ressource (xvii, 157 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The digital future of management series "Books in the Digital Future of Management series draw from the print and web pages of MIT Sloan Management Review to deliver expert insights and sharply tuned advice on navigating the unprecedented challenges of the digital world"--Series foreword Includes bibliographical references and index Restricted to subscribers or individual electronic text purchasers. Introduction / Sam Ransbotham -- AI-driven leadership / Thomas H. Davenport and Janet Foutty -- Could AI be the cure for workplace gender inequality? / Megan Beck and Barry Libert -- Using artificial intelligence to promote diversity / Paul R. Daugherty, H. James Wilson, and Rumman Chowdhury -- Preparing for the coming skill shift / Jacques Bughin -- Getting your employees ready for work in the age of AI / Eva Sage-Gavin, Madhu Vazirani, and Francis Hintermann -- The challenge of scaling soft skills / Lynda Gratton -- The time for retraining is now / R. Edward Freeman and James R. Freeland -- Don't let artificial intelligence supercharge bad processes / Sam Ransbotham -- Unlocking the value of augmented reality data / Joe Biron and Jonathan Lang -- Unpacking the AI-productivity paradox / Erik Brynjolfsson, Daniel Rock, and Chad Syverson -- Using AI to enhance business operations / Monideepa Tarafdar, Cynthia M. Beath, and Jeanne W. Ross -- Every leader's guide to the ethics of AI / Thomas H. Davenport and Vivek Katyal -- When people don't trust algorithms / Berkeley J. Dietvorst, interviewed by Paul Michelman -- The risk of machine learning bias (and how to prevent it) / Chris DeBrusk -- Even if AI can cure loneliness--should it? / David Kiron and Gregory Unruh -- AI can help us live more deliberately / Julian Friedland -- Building a robotic colleague with personality / Guy Hoffman, interviewed by Frieda Klotz. "This collection contains concrete examples of how organizations are creating business value with AI today and offers guidance to organizations that have not made as much progress, as well as considering how AI may transform organizations of the future. Divided into four parts (people, strategy & operations, trust & ethics, and future thoughts), this collection highlights ways in which companies have successfully incorporated AI into their operations, enhancing and supporting the work done by human employees rather than replacing them. Contributions cut through the hype and and alarmism, pointing out that few (if any) organizations are deriving value from human-mimicking AI; rather, the most advantageous applications of AI are in complementing employees' skills, not substituting (poorly) for them"-- 1.1\x Organisatorischer Wandel (DE-627)091381894 (DE-2867)12105-5 stw 1.2\x Künstliche Intelligenz (DE-627)091373379 (DE-2867)15611-3 stw Automation Management Artificial intelligence Industrial applications Employees Effect of automation on Organizational change Business ; Technological innovations ; Case studies Management ; Technological innovations ; Case studies Artificial intelligence ; Case studies Human capital ; Case studies s (DE-588)4033447-8 (DE-627)106257188 (DE-576)209002050 Künstliche Intelligenz gnd s (DE-588)4075693-2 (DE-627)106085239 (DE-576)209199040 Organisationswandel gnd s (DE-588)4115463-0 (DE-627)105814156 (DE-576)209493461 Organisationskultur gnd (DE-627) MIT Sloan Management Review Firma Herausgebendes Organ (DE-588)1162658002 (DE-627)1026824583 (DE-576)507562550 isb 9780262538398 Erscheint auch als Druck-Ausgabe How AI is transforming the organization Cambridge, Massachusetts : The MIT Press, 2020 xvii, 157 Seiten (DE-627)1685097367 9780262538398 https://ieeexplore.ieee.org/book/9072232 X:MITPRESS Verlag lizenzpflichtig https://www.gbv.de/dms/bowker/toc/9780262538398.pdf 2020-10-18 Aggregator Inhaltsverzeichnis ZDB-37-IEM ZDB-37-IEM 2020 GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_22_i22818 GBV_ILN_23 ISIL_DE-830 GBV_ILN_62 ISIL_DE-28 GBV_ILN_70 ISIL_DE-89 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_370 ISIL_DE-1373 ST 300 Allgemeines Informatik Monografien Künstliche Intelligenz Allgemeines (DE-627)1271119005 (DE-625)rvk/143650: (DE-576)201119005 QP 200 Allgemeines Wirtschaftswissenschaften Allgemeine Betriebswirtschaftslehre Forschung. Rationalisierung und Wachstum des Unternehmens Allgemeines (DE-627)1271503980 (DE-625)rvk/141839: (DE-576)201503980 QP 340 Allgemeines Wirtschaftswissenschaften Allgemeine Betriebswirtschaftslehre Unternehmensführung Organisation Allgemeines (DE-627)1270742868 (DE-625)rvk/141861: (DE-576)200742868 BO 045F 658/.0563 22 01 0018 3848473925 olrm-h228-MITIEEE zi22818 03-02-21 23 01 0830 3729069470 olr-MIT i z 23-07-20 62 01 0028 3755859815 OLR-MIT Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 16-09-20 70 01 0089 3692425309 OLR-IEEE-WILEY Campusweiter Zugriff (Universität Hannover). - Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 07-05-20 100 01 3100 4472466546 09 --%%-- eBook MIT Press --%%-- --%%-- OLR-MIT-CEC Vervielfältigungen (z.B. Kopien, Downloads) sind nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 30-01-24 370 01 4370 4011220825 olr-ebook mitieee Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 01-12-21 22 01 0018 Volltextzugang Campus https://ieeexplore.ieee.org/book/9072232 22 01 0018 Nur für Angehörige der Universität Hamburg: Volltextzugang von außerhalb des Campus http://emedien.sub.uni-hamburg.de/han/ieee/ieeexplore.ieee.org/book/9072232 23 01 0830 MIT Press EBook https://ieeexplore.ieee.org/book/9072232 62 01 0028 https://ieeexplore.ieee.org/book/9072232 70 01 0089 https://ieeexplore.ieee.org/servlet/opac?bknumber=9072232 100 01 3100 https://ieeexplore.ieee.org/book/9072232 100 01 3100 für Uniangehörige: Zugang weltweit http://han.med.uni-magdeburg.de/han/mitvia-ieee/ieeexplore.ieee.org/book/9072232 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://ieeexplore.ieee.org/book/9072232 23 01 0830 2018-01805, 2018-01806, 2018-01808 22 01 0018 olrm-h228-MITIEEE 23 01 0830 olr-MIT 62 01 0028 OLR-MIT 70 01 0089 OLR-IEEE-WILEY 70 01 0089 ACQ 100 01 3100 OLR-MIT-CEC 370 01 4370 olr-ebook mitieee 370 01 4370 2021.12.01
allfieldsGer	9780262357517 978-0-262-35751-7 (DE-627)1702952134 (DE-599)KXP1702952134 (OCoLC)1145245307 (MITPRESS)9072232 (EBP)062309897 DE-627 ger DE-627 rda eng XD-US XA-GB HD45.2 658/.0563 LOC ST 300 SEPA rvk (DE-625)rvk/143650: QP 200 SEPA rvk (DE-625)rvk/141839: QP 340 SEPA rvk (DE-625)rvk/141861: How AI is transforming the organization MIT Sloan management review How artificial intelligence is transforming the organization Cambridge, Massachusetts The MIT Press [2020] © 2020 1 Online-Ressource (xvii, 157 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The digital future of management series "Books in the Digital Future of Management series draw from the print and web pages of MIT Sloan Management Review to deliver expert insights and sharply tuned advice on navigating the unprecedented challenges of the digital world"--Series foreword Includes bibliographical references and index Restricted to subscribers or individual electronic text purchasers. Introduction / Sam Ransbotham -- AI-driven leadership / Thomas H. Davenport and Janet Foutty -- Could AI be the cure for workplace gender inequality? / Megan Beck and Barry Libert -- Using artificial intelligence to promote diversity / Paul R. Daugherty, H. James Wilson, and Rumman Chowdhury -- Preparing for the coming skill shift / Jacques Bughin -- Getting your employees ready for work in the age of AI / Eva Sage-Gavin, Madhu Vazirani, and Francis Hintermann -- The challenge of scaling soft skills / Lynda Gratton -- The time for retraining is now / R. Edward Freeman and James R. Freeland -- Don't let artificial intelligence supercharge bad processes / Sam Ransbotham -- Unlocking the value of augmented reality data / Joe Biron and Jonathan Lang -- Unpacking the AI-productivity paradox / Erik Brynjolfsson, Daniel Rock, and Chad Syverson -- Using AI to enhance business operations / Monideepa Tarafdar, Cynthia M. Beath, and Jeanne W. Ross -- Every leader's guide to the ethics of AI / Thomas H. Davenport and Vivek Katyal -- When people don't trust algorithms / Berkeley J. Dietvorst, interviewed by Paul Michelman -- The risk of machine learning bias (and how to prevent it) / Chris DeBrusk -- Even if AI can cure loneliness--should it? / David Kiron and Gregory Unruh -- AI can help us live more deliberately / Julian Friedland -- Building a robotic colleague with personality / Guy Hoffman, interviewed by Frieda Klotz. "This collection contains concrete examples of how organizations are creating business value with AI today and offers guidance to organizations that have not made as much progress, as well as considering how AI may transform organizations of the future. Divided into four parts (people, strategy & operations, trust & ethics, and future thoughts), this collection highlights ways in which companies have successfully incorporated AI into their operations, enhancing and supporting the work done by human employees rather than replacing them. Contributions cut through the hype and and alarmism, pointing out that few (if any) organizations are deriving value from human-mimicking AI; rather, the most advantageous applications of AI are in complementing employees' skills, not substituting (poorly) for them"-- 1.1\x Organisatorischer Wandel (DE-627)091381894 (DE-2867)12105-5 stw 1.2\x Künstliche Intelligenz (DE-627)091373379 (DE-2867)15611-3 stw Automation Management Artificial intelligence Industrial applications Employees Effect of automation on Organizational change Business ; Technological innovations ; Case studies Management ; Technological innovations ; Case studies Artificial intelligence ; Case studies Human capital ; Case studies s (DE-588)4033447-8 (DE-627)106257188 (DE-576)209002050 Künstliche Intelligenz gnd s (DE-588)4075693-2 (DE-627)106085239 (DE-576)209199040 Organisationswandel gnd s (DE-588)4115463-0 (DE-627)105814156 (DE-576)209493461 Organisationskultur gnd (DE-627) MIT Sloan Management Review Firma Herausgebendes Organ (DE-588)1162658002 (DE-627)1026824583 (DE-576)507562550 isb 9780262538398 Erscheint auch als Druck-Ausgabe How AI is transforming the organization Cambridge, Massachusetts : The MIT Press, 2020 xvii, 157 Seiten (DE-627)1685097367 9780262538398 https://ieeexplore.ieee.org/book/9072232 X:MITPRESS Verlag lizenzpflichtig https://www.gbv.de/dms/bowker/toc/9780262538398.pdf 2020-10-18 Aggregator Inhaltsverzeichnis ZDB-37-IEM ZDB-37-IEM 2020 GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_22_i22818 GBV_ILN_23 ISIL_DE-830 GBV_ILN_62 ISIL_DE-28 GBV_ILN_70 ISIL_DE-89 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_370 ISIL_DE-1373 ST 300 Allgemeines Informatik Monografien Künstliche Intelligenz Allgemeines (DE-627)1271119005 (DE-625)rvk/143650: (DE-576)201119005 QP 200 Allgemeines Wirtschaftswissenschaften Allgemeine Betriebswirtschaftslehre Forschung. Rationalisierung und Wachstum des Unternehmens Allgemeines (DE-627)1271503980 (DE-625)rvk/141839: (DE-576)201503980 QP 340 Allgemeines Wirtschaftswissenschaften Allgemeine Betriebswirtschaftslehre Unternehmensführung Organisation Allgemeines (DE-627)1270742868 (DE-625)rvk/141861: (DE-576)200742868 BO 045F 658/.0563 22 01 0018 3848473925 olrm-h228-MITIEEE zi22818 03-02-21 23 01 0830 3729069470 olr-MIT i z 23-07-20 62 01 0028 3755859815 OLR-MIT Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 16-09-20 70 01 0089 3692425309 OLR-IEEE-WILEY Campusweiter Zugriff (Universität Hannover). - Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 07-05-20 100 01 3100 4472466546 09 --%%-- eBook MIT Press --%%-- --%%-- OLR-MIT-CEC Vervielfältigungen (z.B. Kopien, Downloads) sind nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. z 30-01-24 370 01 4370 4011220825 olr-ebook mitieee Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. i z 01-12-21 22 01 0018 Volltextzugang Campus https://ieeexplore.ieee.org/book/9072232 22 01 0018 Nur für Angehörige der Universität Hamburg: Volltextzugang von außerhalb des Campus http://emedien.sub.uni-hamburg.de/han/ieee/ieeexplore.ieee.org/book/9072232 23 01 0830 MIT Press EBook https://ieeexplore.ieee.org/book/9072232 62 01 0028 https://ieeexplore.ieee.org/book/9072232 70 01 0089 https://ieeexplore.ieee.org/servlet/opac?bknumber=9072232 100 01 3100 https://ieeexplore.ieee.org/book/9072232 100 01 3100 für Uniangehörige: Zugang weltweit http://han.med.uni-magdeburg.de/han/mitvia-ieee/ieeexplore.ieee.org/book/9072232 370 01 4370 E-Book: Zugriff im HCU-Netz. Zugriff von außerhalb nur für HCU-Angehörige möglich https://ieeexplore.ieee.org/book/9072232 23 01 0830 2018-01805, 2018-01806, 2018-01808 22 01 0018 olrm-h228-MITIEEE 23 01 0830 olr-MIT 62 01 0028 OLR-MIT 70 01 0089 OLR-IEEE-WILEY 70 01 0089 ACQ 100 01 3100 OLR-MIT-CEC 370 01 4370 olr-ebook mitieee 370 01 4370 2021.12.01
allfieldsSound	9780262357517 978-0-262-35751-7 (DE-627)1702952134 (DE-599)KXP1702952134 (OCoLC)1145245307 (MITPRESS)9072232 (EBP)062309897 DE-627 ger DE-627 rda eng XD-US XA-GB HD45.2 658/.0563 LOC ST 300 SEPA rvk (DE-625)rvk/143650: QP 200 SEPA rvk (DE-625)rvk/141839: QP 340 SEPA rvk (DE-625)rvk/141861: How AI is transforming the organization MIT Sloan management review How artificial intelligence is transforming the organization Cambridge, Massachusetts The MIT Press [2020] © 2020 1 Online-Ressource (xvii, 157 Seiten) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The digital future of management series "Books in the Digital Future of Management series draw from the print and web pages of MIT Sloan Management Review to deliver expert insights and sharply tuned advice on navigating the unprecedented challenges of the digital world"--Series foreword Includes bibliographical references and index Restricted to subscribers or individual electronic text purchasers. Introduction / Sam Ransbotham -- AI-driven leadership / Thomas H. Davenport and Janet Foutty -- Could AI be the cure for workplace gender inequality? / Megan Beck and Barry Libert -- Using artificial intelligence to promote diversity / Paul R. Daugherty, H. James Wilson, and Rumman Chowdhury -- Preparing for the coming skill shift / Jacques Bughin -- Getting your employees ready for work in the age of AI / Eva Sage-Gavin, Madhu Vazirani, and Francis Hintermann -- The challenge of scaling soft skills / Lynda Gratton -- The time for retraining is now / R. Edward Freeman and James R. Freeland -- Don't let artificial intelligence supercharge bad processes / Sam Ransbotham -- Unlocking the value of augmented reality data / Joe Biron and Jonathan Lang -- Unpacking the AI-productivity paradox / Erik Brynjolfsson, Daniel Rock, and Chad Syverson -- Using AI to enhance business operations / Monideepa Tarafdar, Cynthia M. Beath, and Jeanne W. Ross -- Every leader's guide to the ethics of AI / Thomas H. Davenport and Vivek Katyal -- When people don't trust algorithms / Berkeley J. Dietvorst, interviewed by Paul Michelman -- The risk of machine learning bias (and how to prevent it) / Chris DeBrusk -- Even if AI can cure loneliness--should it? / David Kiron and Gregory Unruh -- AI can help us live more deliberately / Julian Friedland -- Building a robotic colleague with personality / Guy Hoffman, interviewed by Frieda Klotz. "This collection contains concrete examples of how organizations are creating business value with AI today and offers guidance to organizations that have not made as much progress, as well as considering how AI may transform organizations of the future. Divided into four parts (people, strategy & operations, trust & ethics, and future thoughts), this collection highlights ways in which companies have successfully incorporated AI into their operations, enhancing and supporting the work done by human employees rather than replacing them. Contributions cut through the hype and and alarmism, pointing out that few (if any) organizations are deriving value from human-mimicking AI; rather, the most advantageous applications of AI are in complementing employees' skills, not substituting (poorly) for them"-- 1.1\x Organisatorischer Wandel (DE-627)091381894 (DE-2867)12105-5 stw 1.2\x Künstliche Intelligenz (DE-627)091373379 (DE-2867)15611-3 stw Automation Management Artificial intelligence Industrial applications Employees Effect of automation on Organizational change Business ; Technological innovations ; Case studies Management ; Technological innovations ; Case studies Artificial intelligence ; Case studies Human capital ; Case studies s (DE-588)4033447-8 (DE-627)106257188 (DE-576)209002050 Künstliche Intelligenz gnd s (DE-588)4075693-2 (DE-627)106085239 (DE-576)209199040 Organisationswandel gnd s (DE-588)4115463-0 (DE-627)105814156 (DE-576)209493461 Organisationskultur gnd (DE-627) MIT Sloan Management Review Firma Herausgebendes Organ (DE-588)1162658002 (DE-627)1026824583 (DE-576)507562550 isb 9780262538398 Erscheint auch als Druck-Ausgabe How AI is transforming the organization Cambridge, Massachusetts : The MIT Press, 2020 xvii, 157 Seiten (DE-627)1685097367 9780262538398 https://ieeexplore.ieee.org/book/9072232 X:MITPRESS Verlag lizenzpflichtig https://www.gbv.de/dms/bowker/toc/9780262538398.pdf 2020-10-18 Aggregator Inhaltsverzeichnis ZDB-37-IEM ZDB-37-IEM 2020 GBV_ILN_22 ISIL_DE-18 SYSFLAG_1 GBV_KXP GBV_ILN_22_i22818 GBV_ILN_23 ISIL_DE-830 GBV_ILN_62 ISIL_DE-28 GBV_ILN_70 ISIL_DE-89 GBV_ILN_100 ISIL_DE-Ma9 GBV_ILN_370 ISIL_DE-1373 ST 300 Allgemeines Informatik Monografien Künstliche Intelligenz Allgemeines (DE-627)1271119005 (DE-625)rvk/143650: (DE-576)201119005 QP 200 Allgemeines Wirtschaftswissenschaften Allgemeine Betriebswirtschaftslehre Forschung. Rationalisierung und Wachstum des Unternehmens Allgemeines (DE-627)1271503980 (DE-625)rvk/141839: (DE-576)201503980 QP 340 Allgemeines Wirtschaftswissenschaften Allgemeine Betriebswirtschaftslehre Unternehmensführung Organisation Allgemeines (DE-627)1270742868 (DE-625)rvk/141861: (DE-576)200742868 BO 045F 658/.0563 22 01 0018 3848473925 olrm-h228-MITIEEE zi22818 03-02-21 23 01 0830 3729069470 olr-MIT i z 23-07-20 62 01 0028 3755859815 OLR-MIT Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 16-09-20 70 01 0089 3692425309 OLR-IEEE-WILEY Campusweiter Zugriff (Universität Hannover). - Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. 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abstract	Introduction / Sam Ransbotham -- AI-driven leadership / Thomas H. Davenport and Janet Foutty -- Could AI be the cure for workplace gender inequality? / Megan Beck and Barry Libert -- Using artificial intelligence to promote diversity / Paul R. Daugherty, H. James Wilson, and Rumman Chowdhury -- Preparing for the coming skill shift / Jacques Bughin -- Getting your employees ready for work in the age of AI / Eva Sage-Gavin, Madhu Vazirani, and Francis Hintermann -- The challenge of scaling soft skills / Lynda Gratton -- The time for retraining is now / R. Edward Freeman and James R. Freeland -- Don't let artificial intelligence supercharge bad processes / Sam Ransbotham -- Unlocking the value of augmented reality data / Joe Biron and Jonathan Lang -- Unpacking the AI-productivity paradox / Erik Brynjolfsson, Daniel Rock, and Chad Syverson -- Using AI to enhance business operations / Monideepa Tarafdar, Cynthia M. Beath, and Jeanne W. Ross -- Every leader's guide to the ethics of AI / Thomas H. Davenport and Vivek Katyal -- When people don't trust algorithms / Berkeley J. Dietvorst, interviewed by Paul Michelman -- The risk of machine learning bias (and how to prevent it) / Chris DeBrusk -- Even if AI can cure loneliness--should it? / David Kiron and Gregory Unruh -- AI can help us live more deliberately / Julian Friedland -- Building a robotic colleague with personality / Guy Hoffman, interviewed by Frieda Klotz. "This collection contains concrete examples of how organizations are creating business value with AI today and offers guidance to organizations that have not made as much progress, as well as considering how AI may transform organizations of the future. Divided into four parts (people, strategy & operations, trust & ethics, and future thoughts), this collection highlights ways in which companies have successfully incorporated AI into their operations, enhancing and supporting the work done by human employees rather than replacing them. Contributions cut through the hype and and alarmism, pointing out that few (if any) organizations are deriving value from human-mimicking AI; rather, the most advantageous applications of AI are in complementing employees' skills, not substituting (poorly) for them"-- "Books in the Digital Future of Management series draw from the print and web pages of MIT Sloan Management Review to deliver expert insights and sharply tuned advice on navigating the unprecedented challenges of the digital world"--Series foreword Includes bibliographical references and index
abstractGer	Introduction / Sam Ransbotham -- AI-driven leadership / Thomas H. Davenport and Janet Foutty -- Could AI be the cure for workplace gender inequality? / Megan Beck and Barry Libert -- Using artificial intelligence to promote diversity / Paul R. Daugherty, H. James Wilson, and Rumman Chowdhury -- Preparing for the coming skill shift / Jacques Bughin -- Getting your employees ready for work in the age of AI / Eva Sage-Gavin, Madhu Vazirani, and Francis Hintermann -- The challenge of scaling soft skills / Lynda Gratton -- The time for retraining is now / R. Edward Freeman and James R. Freeland -- Don't let artificial intelligence supercharge bad processes / Sam Ransbotham -- Unlocking the value of augmented reality data / Joe Biron and Jonathan Lang -- Unpacking the AI-productivity paradox / Erik Brynjolfsson, Daniel Rock, and Chad Syverson -- Using AI to enhance business operations / Monideepa Tarafdar, Cynthia M. Beath, and Jeanne W. Ross -- Every leader's guide to the ethics of AI / Thomas H. Davenport and Vivek Katyal -- When people don't trust algorithms / Berkeley J. Dietvorst, interviewed by Paul Michelman -- The risk of machine learning bias (and how to prevent it) / Chris DeBrusk -- Even if AI can cure loneliness--should it? / David Kiron and Gregory Unruh -- AI can help us live more deliberately / Julian Friedland -- Building a robotic colleague with personality / Guy Hoffman, interviewed by Frieda Klotz. "This collection contains concrete examples of how organizations are creating business value with AI today and offers guidance to organizations that have not made as much progress, as well as considering how AI may transform organizations of the future. Divided into four parts (people, strategy & operations, trust & ethics, and future thoughts), this collection highlights ways in which companies have successfully incorporated AI into their operations, enhancing and supporting the work done by human employees rather than replacing them. Contributions cut through the hype and and alarmism, pointing out that few (if any) organizations are deriving value from human-mimicking AI; rather, the most advantageous applications of AI are in complementing employees' skills, not substituting (poorly) for them"-- "Books in the Digital Future of Management series draw from the print and web pages of MIT Sloan Management Review to deliver expert insights and sharply tuned advice on navigating the unprecedented challenges of the digital world"--Series foreword Includes bibliographical references and index
abstract_unstemmed	Introduction / Sam Ransbotham -- AI-driven leadership / Thomas H. Davenport and Janet Foutty -- Could AI be the cure for workplace gender inequality? / Megan Beck and Barry Libert -- Using artificial intelligence to promote diversity / Paul R. Daugherty, H. James Wilson, and Rumman Chowdhury -- Preparing for the coming skill shift / Jacques Bughin -- Getting your employees ready for work in the age of AI / Eva Sage-Gavin, Madhu Vazirani, and Francis Hintermann -- The challenge of scaling soft skills / Lynda Gratton -- The time for retraining is now / R. Edward Freeman and James R. Freeland -- Don't let artificial intelligence supercharge bad processes / Sam Ransbotham -- Unlocking the value of augmented reality data / Joe Biron and Jonathan Lang -- Unpacking the AI-productivity paradox / Erik Brynjolfsson, Daniel Rock, and Chad Syverson -- Using AI to enhance business operations / Monideepa Tarafdar, Cynthia M. Beath, and Jeanne W. Ross -- Every leader's guide to the ethics of AI / Thomas H. Davenport and Vivek Katyal -- When people don't trust algorithms / Berkeley J. Dietvorst, interviewed by Paul Michelman -- The risk of machine learning bias (and how to prevent it) / Chris DeBrusk -- Even if AI can cure loneliness--should it? / David Kiron and Gregory Unruh -- AI can help us live more deliberately / Julian Friedland -- Building a robotic colleague with personality / Guy Hoffman, interviewed by Frieda Klotz. "This collection contains concrete examples of how organizations are creating business value with AI today and offers guidance to organizations that have not made as much progress, as well as considering how AI may transform organizations of the future. Divided into four parts (people, strategy & operations, trust & ethics, and future thoughts), this collection highlights ways in which companies have successfully incorporated AI into their operations, enhancing and supporting the work done by human employees rather than replacing them. Contributions cut through the hype and and alarmism, pointing out that few (if any) organizations are deriving value from human-mimicking AI; rather, the most advantageous applications of AI are in complementing employees' skills, not substituting (poorly) for them"-- "Books in the Digital Future of Management series draw from the print and web pages of MIT Sloan Management Review to deliver expert insights and sharply tuned advice on navigating the unprecedented challenges of the digital world"--Series foreword Includes bibliographical references and index
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title_short	How AI is transforming the organization
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Davenport and Janet Foutty -- Could AI be the cure for workplace gender inequality? / Megan Beck and Barry Libert -- Using artificial intelligence to promote diversity / Paul R. Daugherty, H. James Wilson, and Rumman Chowdhury -- Preparing for the coming skill shift / Jacques Bughin -- Getting your employees ready for work in the age of AI / Eva Sage-Gavin, Madhu Vazirani, and Francis Hintermann -- The challenge of scaling soft skills / Lynda Gratton -- The time for retraining is now / R. Edward Freeman and James R. Freeland -- Don't let artificial intelligence supercharge bad processes / Sam Ransbotham -- Unlocking the value of augmented reality data / Joe Biron and Jonathan Lang -- Unpacking the AI-productivity paradox / Erik Brynjolfsson, Daniel Rock, and Chad Syverson -- Using AI to enhance business operations / Monideepa Tarafdar, Cynthia M. Beath, and Jeanne W. Ross -- Every leader's guide to the ethics of AI / Thomas H. Davenport and Vivek Katyal -- When people don't trust algorithms / Berkeley J. Dietvorst, interviewed by Paul Michelman -- The risk of machine learning bias (and how to prevent it) / Chris DeBrusk -- Even if AI can cure loneliness--should it? / David Kiron and Gregory Unruh -- AI can help us live more deliberately / Julian Friedland -- Building a robotic colleague with personality / Guy Hoffman, interviewed by Frieda Klotz.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">"This collection contains concrete examples of how organizations are creating business value with AI today and offers guidance to organizations that have not made as much progress, as well as considering how AI may transform organizations of the future. 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fulltext	Series Foreword p. ix Introduction: How Al Is Transforming the Organization p. xi People … Al-Driven Leadership … Could AI Be the Cure for Workplace Gender Inequality? … Using Artificial Intelligence to Promote Diversity … Preparing for the Coming Skill Shifts … Getting Your Employees Ready for Work in the Age of AI … The Challenge of Scaling Soft Skills … The Time for Retraining Is Now … Strategy and Operations … Don't Let Artificial Intelligence Supercharge Bad Processes … Unlocking the Value of Augmented Reality Data … Unpacking the Al-Productivity Paradox … Using AI to Enhance Business Operations … Trust and Ethics … Every Leader's Guide to the Ethics of AI … When People Don't Trust Algorithms … The Risk of Machine Learning Bias (And How to Prevent It) … Even If AI Can Cure Loneliness, Should It? … AI Can Help Us Live More Deliberately … Future Thoughts … Building a Robotic Colleague with Personality … Contributors … Notes … Index …
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Davenport and Janet Foutty -- Could AI be the cure for workplace gender inequality? / Megan Beck and Barry Libert -- Using artificial intelligence to promote diversity / Paul R. Daugherty, H. James Wilson, and Rumman Chowdhury -- Preparing for the coming skill shift / Jacques Bughin -- Getting your employees ready for work in the age of AI / Eva Sage-Gavin, Madhu Vazirani, and Francis Hintermann -- The challenge of scaling soft skills / Lynda Gratton -- The time for retraining is now / R. Edward Freeman and James R. Freeland -- Don't let artificial intelligence supercharge bad processes / Sam Ransbotham -- Unlocking the value of augmented reality data / Joe Biron and Jonathan Lang -- Unpacking the AI-productivity paradox / Erik Brynjolfsson, Daniel Rock, and Chad Syverson -- Using AI to enhance business operations / Monideepa Tarafdar, Cynthia M. Beath, and Jeanne W. Ross -- Every leader's guide to the ethics of AI / Thomas H. 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