{"product_id":"working-with-ai-isbn-9780262047241","title":"Working with AI","description":"\u003cb\u003eTwo management and technology experts show that AI is not a job destroyer, exploring worker-AI collaboration in real-world work settings.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eThis book breaks through both the hype and the doom-and-gloom surrounding automation and the deployment of artificial intelligence-enabled—“smart”—systems at work. Management and technology experts Thomas Davenport and Steven Miller show that, contrary to widespread predictions, prescriptions, and denunciations, AI is not primarily a job destroyer. Rather, AI changes the way we work—by taking over some tasks but not entire jobs, freeing people to do other, more important and more challenging \u003cb\u003e\u003c\/b\u003ework. By offering detailed, real-world case studies of AI-augmented jobs in settings that range from finance to the factory floor, Davenport and Miller also show that AI in the workplace is not the stuff of futuristic speculation. It is happening now to many companies and workers. \u003cbr\u003e \u003cbr\u003eThese cases include a digital system for life insurance underwriting that analyzes applications and third-party data in real time, allowing human underwriters to focus on more complex cases; an intelligent telemedicine platform with a chat-based interface; a machine learning-system that identifies impending train maintenance issues by analyzing diesel fuel samples; and Flippy, a robotic assistant for fast food preparation. For each one, Davenport and Miller describe in detail the work context for the system, interviewing job incumbents, managers, and technology vendors. Short “insight” chapters draw out common themes and consider the implications of human collaboration with smart systems.Series Foreword ix\u003cbr\u003eIntroduction xi\u003cbr\u003eI Case Studies\u003cbr\u003eMorgan Stanley: Financial Advisors and the Next Best Action System 3\u003cbr\u003eChowNow: Growth Operations and RingDNA 9\u003cbr\u003eStitch Fix: AI-Assisted Clothing Stylists 15\u003cbr\u003eArkansas State University: Fundraising with Gravyty 21\u003cbr\u003eShopee: The Product Manager's Role in AI-Driven E-Commerce 27\u003cbr\u003eHaven Life and MassMutual: The Digital Life Underwriter 35\u003cbr\u003eRadius Financial Group: Intelligent Mortgage Processing 41\u003cbr\u003eDBS Bank: AI-Driven Transaction Surveillance 47\u003cbr\u003eMedical Diagnosis and Treatment Record Coding with AI 53\u003cbr\u003eDentsu: RPA for Citizen Automation Developers 59\u003cbr\u003e84.51° and Kroger: AutoML to Improve Data Science Productivity 67\u003cbr\u003eMandiant: AI Support for Cyberthreat Attribution 75\u003cbr\u003eDBS Digibank India: Customer Science for Customer Service 83\u003cbr\u003eIntuit: AI-Assisted Writing with Writer.com 89\u003cbr\u003eLilt: The Computer-Assisted Translator 95\u003cbr\u003eSalesforce: Architects of Ethical AI Practices 101\u003cbr\u003eThe Dermatologist: AI-Assisted Skin Imaging 109\u003cbr\u003eGood Doctor Technology: Intelligent Telemedicine in Southeast Asia 115\u003cbr\u003eOsler Works: The Transformation of Legal Services Delivery 125\u003cbr\u003ePBC Linear: AI-Enabled Virtual Reality for Employee Training 131\u003cbr\u003eSeagate: Improving Automated Visual Inspection of Wafers and Fab Tooling with AI 137\u003cbr\u003eStanford Health Care: Robotic Pharmacy Operations 141\u003cbr\u003eFast Food Hamburger Outlets: Flippy--Robotic Assistants for Fast Food Preparation 147\u003cbr\u003eFarmWise: Digital Weeders for Robotic Weeding of Farm Fields 151\u003cbr\u003eWilmington, North Carolina, Police Department: AI-Driven Policing 155\u003cbr\u003eCertis: AI Support for the Multifaceted Security Guard at Jewel Changi Airport 161\u003cbr\u003eSouthern California Edison: Machine Learning Safety Data Analytics for Front-Line Accident Prevention 169\u003cbr\u003eMassachusetts Bay Transportation Authority: AI-Assisted Diesel Oil Analysis for Train Maintenance 175\u003cbr\u003eSingapore Land Transport Authority: Rail Network Management in a Smart City 179\u003cbr\u003eII Insights\u003cbr\u003eIt Takes a Village to Change a Job with AI 187\u003cbr\u003eEverybody's a Techie--Or at Least Has a Hybrid Job Role 201\u003cbr\u003eThe Platforms That Make AI Work 209\u003cbr\u003eIntelligent Case Management Systems 217\u003cbr\u003eOpportunities for Entry-Level Workers: Diminishing or Not? 225\u003cbr\u003eRemote and Independent Work 239\u003cbr\u003eWhat Machines Can't Do (Yet) 249\u003cbr\u003eIII Conclusions \u003cbr\u003eLooking Ahead to the Future of Work with Smart Machines 259\u003cbr\u003eNotes 267\u003cbr\u003eIndex 279\u003cb\u003eIncluded in The Enterprisers Project's \"10 must-read tech books for 2023\"\u003cbr\u003eIncluded in McKinsey's Summer 2023 Reading List\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e \"The book is aimed at managers, consultants and students planning their careers...I appreciated the accessible narratives as a diverse survey of how current technologies can expand the range of human capabilities.\"\u003cbr\u003e\u003cb\u003e\u003ci\u003e \u003cb\u003e\u003ci\u003e—\u003c\/i\u003e\u003c\/b\u003eThe Wall Street Journal\u003c\/i\u003e\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e\"When pictures are painted in such extremes of light and shade it’s time to call in the experts, and in \u003ci\u003eWorking with AI: Real Stories of Human-Machine Collaboratio\u003c\/i\u003en, we benefit not just from the hard-won wisdom of two leaders in the field – Thomas H Davenport and Steven M Miller – but also of the people involved in the dozens of case studies presented that detail real-world applications of AI in the commercial, research and administrative space. What the authors call ‘real stories of human-machine collaboration’ come together over nearly 300 pages of analysis and insight to produce one of the most balanced narratives of AI in the workplace produced to date.”\u003cbr\u003e \u003cb\u003e\u003ci\u003e—E\u0026amp;T Magazine\u003cbr\u003e\u003cbr\u003e\u003c\/i\u003e\u003c\/b\u003e“While AI has been part of Alight’s ecosystem for years, this book examines how AI will change the way we work, but not necessarily destroy the way we work.”\u003cbr\u003e\u003cb\u003e\u003ci\u003e—\u003c\/i\u003eMcKinsey\u003c\/b\u003e\u003cbr\u003e\u003cb\u003e\u003ci\u003e\u003cbr\u003e\u003c\/i\u003e\u003c\/b\u003e“\u003ci\u003eWorking with AI\u003c\/i\u003e is by and large a hopeful work about human-machine collaboration, emphasizing that there are still many things that machines simply cannot do — from understanding context to managing organizational change to understanding emotional situations — and thus they will still depend on humans as much as we rely on them. That will likely remain true for us, our children, and our grandchildren.”\u003cbr\u003e\u003ci\u003e \u003c\/i\u003e\u003cb\u003e\u003ci\u003e\u003cb\u003e\u003ci\u003e—Civil Engineering\u003cbr\u003e\u003cbr\u003e\u003c\/i\u003e\u003c\/b\u003e\u003c\/i\u003e\u003c\/b\u003e\"Why you should read it: Curious about the implications of human collaboration with smart systems? This book shares specific use cases of humans working with AI successfully, e.g., a digital system for life insurance underwriting that analyzes applications and third-party data in real-time, allowing human underwriters to focus on more complex cases. Read this book if you want reassurance on the positive potential outcomes of AI versus the ominous view that artificial intelligence is a job stealer.\u003cbr\u003e\u003cb\u003e\u003ci\u003e\u003cb\u003e\u003ci\u003e—The Enterprisers Project\u003c\/i\u003e\u003c\/b\u003e\u003cbr\u003e\u003c\/i\u003e\u003c\/b\u003e“What work can AI accomplish—and what can workers accomplish with AI? Setting aside hype, Davenport and Miller probe the beating heart of dozens of real-world AI implementations to find out. The lessons are subtle, eye-opening, and occasionally comical. No matter what you thought you knew about AI in the workplace, this book will change your mind.”\u003cbr\u003e\u003cb\u003e—David Autor, Ford Professor of Economics, MIT\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e“AI is already changing the world and for the first time we have a collection of case studies written in a way that everyone can understand. This is an essential read for anyone trying to understand the breadth of change that is coming.” \u003cbr\u003e\u003cb\u003e—DJ Patil, former U.S. Chief Data Scientist\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e“This book brings AI to life and gives practical, grounded examples of what AI can do now, and how it is augmenting human roles in the workplace.  This is a fantastic guide for any organisation attempting to unleash the power of AI at scale.”\u003cbr\u003e\u003cb\u003e—Dave Gledhill, former CIO, DBS bank; Director, Singapore Airlines\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e“With rich description Davenport and Miller take us through AI applications shaping the future of work. What work should be standardized? What work could be better informated? How can AI promote meaningful human work? Read this and learn.”\u003cbr\u003e\u003cb\u003e—Denise M Rousseau, H.J. Heinz II University Professor, Carnegie Mellon University and Academic President, Center for Evidence-based Management\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e“Getting AI to work requires human learning and adaptation, job redesign, and enterprise transformation. It takes a good book to make such common sense compelling and actionable, and this is a very good book.”  \u003cbr\u003e\u003cb\u003e—Tan Kok Yam, Chief Executive, SkillsFuture Singapore; former Deputy Secretary of Smart Nation and Digital Government Office\u003c\/b\u003eThomas H. Davenport is Distinguished Professor of Information Technology and Management at Babson College, Visiting Professor at Oxford’s Saïd Business School, Fellow of the MIT Initiative on the Digital Economy, and Senior Advisor to Deloitte’s AI practice. He is the author of \u003ci\u003eThe AI Advantage\u003c\/i\u003e (MIT Press) and coauthor of \u003ci\u003eOnly Humans Need Apply\u003c\/i\u003e and other books.\u003cbr\u003e \u003cbr\u003eSteven M. Miller is Professor Emeritus of Information Systems at Singapore Management University, where he previously served as Founding Dean of the School of Computing and Information System Vice Provost for Research. He is coauthor of \u003ci\u003eRobotics Applications and Social Implications\u003c\/i\u003e.\u003cbr\u003e \u003cbr\u003e ","brand":"The MIT Press","offers":[{"title":"Default Title","offer_id":46300799271141,"sku":"NP9780262047241","price":34.95,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780262047241.jpg?v=1767744537","url":"https:\/\/k12savings.com\/products\/working-with-ai-isbn-9780262047241","provider":"K12savings","version":"1.0","type":"link"}