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Working with AI: Real Stories of Human-Machine Collaboration (Management on the Cutting Edge) PDF

312 Pages·2022·0.977 MB·English
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Working with AI Management on the Cutting Edge series Robert Holland, series editor Published in cooperation with MIT Sloan Management Review The AI Advantage: How to Put the Artificial Intelligence Revolution to Work Thomas H. Davenport The Technology Fallacy: How People are the Real Key to Digital Transformation Gerald C. Kane, Anh Nguyen Phillips, Jonathan Copulsky, and Garth Andrus Designed for Digital: How to Architect Your Business for Sustained Success Jeanne W. Ross, Cynthia Beath, and Martin Mocker See Sooner, Act Faster: How Vigilant Leaders Thrive in an Era of Digital Turbulence George S. Day and Paul J. H. Schoemaker Leading in the Digital World: How to Foster Creativity, Collaboration, and Inclusivity Amit S. Mukherjee The Ends Game: How Smart Companies Stop Selling Products and Start Delivering Value Marco Bertini and Oded Koenigsberg Open Strategy: Mastering Disruption from Outside the C-S uite Christian Stadler, Julia Hautz, Kurt Matzler, and Stephan Friedrich von den Eichen The Transformation Myth: Leading Your Organization through Uncertain Times Gerald Kane, Rich Nanda, Anh Nguyen Phillips, and Jonathan Copulsky Winning the Right Game: How to Disrupt, Defend, and Deliver in a Changing World Ron Adner The Digital Multinational: How to Connect and Compete in a (De)Globalized World Satish Nambisan and Yadong Luo Work without Jobs: How to Reboot Your Organization’s Work Operating System Ravin Jesuthasan and John W. Boudreau The Future of Competitive Strategy: Unleashing the Power of Data and Digital Ecosystems Mohan Subramaniam Productive Tensions: How Every Leader Can Tackle Innovation’s Toughest Trade-O ffs Chris B. Bingham and Rory M. McDonald Working with AI: Real Stories of Human-M achine Collaboration Thomas H. Davenport and Steven M. Miller Working with AI Real Stories of Human- Machine Collaboration Thomas H. Davenport and Steven M. Miller The MIT Press Cambridge, Massachusetts London, England © 2022 Massachusetts Institute of Technology All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without permission in writing from the publisher. The MIT Press would like to thank the anonymous peer reviewers who provided comments on drafts of this book. The generous work of academic experts is essential for establishing the authority and quality of our publications. We acknowledge with gratitude the contributions of these otherwise uncredited readers. This book was set in ITC Stone Serif Std and ITC Stone Sans Std by New Best-set Typesetters Ltd. Library of Congress Cataloging- in- Publication Data Names: Davenport, Thomas H., 1954- author. | Miller, Steven M., 1956- author. Title: Working with AI : real stories of human– machine collaboration / Thomas H. Davenport, Steven M. Miller. Description: Cambridge, Massachusetts : The MIT Press, 2022. | Series: Management on the cutting edge | Includes bibliographical references and index. Identifiers: LCCN 2021060551 | ISBN 9780262047241 (hardcover) | ISBN 9780262371193 (epub) | ISBN 9780262371209 (pdf) Subjects: LCSH: Artificial intelligence—Economic aspects. | Artificial intelligence— Industrial applications. | Information technology—Management. | Human- computer interaction. Classification: LCC HC79.I55 D3778 2022 | DDC 658/.0563—dc23/eng/20220112 LC record available at https://lccn.loc.gov/2021060551 10 9 8 7 6 5 4 3 2 1 Contents Series Foreword ix Introduction xi I Case Studies Morgan Stanley: Financial Advisors and the Next Best Action System 3 ChowNow: Growth Operations and RingDNA 9 Stitch Fix: AI- Assisted Clothing Stylists 15 Arkansas State University: Fundraising with Gravyty 21 Shopee: The Product Manager’s Role in AI- Driven E- Commerce 27 Haven Life and MassMutual: The Digital Life Underwriter 35 Radius Financial Group: Intelligent Mortgage Processing 41 DBS Bank: AI- Driven Transaction Surveillance 47 Medical Diagnosis and Treatment Record Coding with AI 53 Dentsu: RPA for Citizen Automation Developers 59 84.51° and Kroger: AutoML to Improve Data Science Productivity 67 Mandiant: AI Support for Cyberthreat Attribution 75 DBS Digibank India: Customer Science for Customer Service 83 Intuit: AI- Assisted Writing with Writer.com 89 vi Contents Lilt: The Computer-A ssisted Translator 95 Salesforce: Architects of Ethical AI Practices 101 The Dermatologist: AI-A ssisted Skin Imaging 109 Good Doctor Technology: Intelligent Telemedicine in Southeast Asia 115 Osler Works: The Transformation of Legal Services Delivery 125 PBC Linear: AI- Enabled Virtual Reality for Employee Training 131 Seagate: Improving Automated Visual Inspection of Wafers and Fab Tooling with AI 137 Stanford Health Care: Robotic Pharmacy Operations 141 Fast Food Hamburger Outlets: Flippy— Robotic Assistants for Fast Food Preparation 147 FarmWise: Digital Weeders for Robotic Weeding of Farm Fields 151 Wilmington, North Carolina, Police Department: AI- Driven Policing 155 Certis: AI Support for the Multifaceted Security Guard at Jewel Changi Airport 161 Southern California Edison: Machine Learning Safety Data Analytics for Front- Line Accident Prevention 169 Massachusetts Bay Transportation Authority: AI- Assisted Diesel Oil Analysis for Train Maintenance 175 Singapore Land Transport Authority: Rail Network Management in a Smart City 179 II Insights It Takes a Village to Change a Job with AI 187 Everybody’s a Techie—Or at Least Has a Hybrid Job Role 201 The Platforms That Make AI Work 209 Intelligent Case Management Systems 217 Opportunities for Entry- Level Workers: Diminishing or Not? 225 Contents vii Remote and Independent Work 239 What Machines Can’t Do (Yet) 249 III Conclusions Looking Ahead to the Future of Work with Smart Machines 259 Notes 267 Index 279

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