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Informationen zum Autor Thomas 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 The AI Advantage (MIT Press) and coauthor of Only Humans Need Apply and other books. Steven 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 Robotics Applications and Social Implications . Klappentext "An exploration of the future of work featuring real-world profiles of changing jobs and work arrangements in light of human/AI interaction"-- Zusammenfassung Two management and technology experts show that AI is not a job destroyer, exploring worker-AI collaboration in real-world work settings. This 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 work. 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. These 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. Inhaltsverzeichnis 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 Lilt: The Computer-Assisted Translator 95 Salesforce: Architects of Ethical AI Practices 101 The Dermatologist: AI-Assisted 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--Rob...
