Title Statements
- Full title :How AI is transforming the organization
Summary
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"
Read More ↓Edition Statements
- Publication Date:2020
Publication Statements
- Publisher(s):The MIT Press
- Place of Publication:Cambridge, Massachusetts
- Language:eng
- Publication Date:2020
Notes
"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
The Physical Object
- Description:pages cm.
Edition Identifiers
- ISBN:9780262538398, 0262538393
- oclc:on1159423663
- LC Classification:HD45.2
- Dewey Decimal:658 .0563
Table of Contents
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 DeB…
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