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E-raamat: Working with AI: Real Stories of Human-Machine Collaboration

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"An exploration of the future of work featuring real-world profiles of changing jobs and work arrangements in light of human/AI interaction"--

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.

Arvustused

Included in The Enterprisers Project's "10 must-read tech books for 2023" Included in McKinsey's Summer 2023 Reading List

"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." The Wall Street Journal

"When pictures are painted in such extremes of light and shade its time to call in the experts, and in Working with AI: Real Stories of Human-Machine Collaboration, 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. E&T Magazine

While AI has been part of Alights ecosystem for years, this book examines how AI will change the way we work, but not necessarily destroy the way we work. McKinsey

Working with AI 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. Civil Engineering

"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. The Enterprisers Project

Series Foreword ix
Introduction xi
I Case Studies
Morgan Stanley: Financial Advisors and the Next Best Action System
3(6)
ChowNow: Growth Operations and RingDNA
9(6)
Stitch Fix: Al-Assisted Clothing Stylists
15(6)
Arkansas State University: Fundraising with Gravyty
21(6)
Shopee: The Product Manager's Role in Al-Driven E-Commerce
27(8)
Haven Life and MassMutual: The Digital Life Underwriter
35(6)
Radius Financial Group: Intelligent Mortgage Processing
41(6)
DBS Bank: Al Driven Transaction Surveillance
47(6)
Medical Diagnosis and Treatment Record Coding with Al
53(6)
Dentsu: RPA for Citizen Automation Developers
59(8)
84.51° and Kroger: AutoML to Improve Data Science Productivity
67(8)
Mandiant: Al Support for Cyberthreat Attribution
75(8)
DBS Digibank India: Customer Science for Customer Service
83(6)
Intuit: Al-Assisted Writing with Writer.com
89(6)
Lilt: The Computer-Assisted Translator
95(6)
Salesforce: Architects of Ethical Al Practices
101(8)
The Dermatologist: Al-Assisted Skin Imaging
109(6)
Good Doctor Technology: Intelligent Telemedicine in Southeast Asia
115(10)
Osier Works: The Transformation of Legal Services Delivery
125(6)
PBC Linear: Al-Enabled Virtual Reality for Employee Training
131(6)
Seagate: Improving Automated Visual Inspection of Wafers and Fab Tooling with Al
137(4)
Stanford Health Care: Robotic Pharmacy Operations
141(6)
Fast Food Hamburger Outlets: Flippy--Robotic Assistants for Fast Food Preparation
147(4)
Farm Wise: Digital Weeders for Robotic Weeding of Farm Fields
151(4)
Wilmington, North Carolina, Police Department: Al-Driven Policing
155(6)
Certis: Al Support for the Multifaceted Security Guard at Jewel Changi Airport
161(8)
Southern California Edison: Machine Learning Safety Data Analytics for Front-Line Accident Prevention
169(6)
Massachusetts Bay Transportation Authority: Al-Assisted Diesel Oil Analysis for Train Maintenance
175(4)
Singapore Land Transport Authority: Rail Network Management in a Smart City
179(8)
II Insights
It Takes a Village to Change a job with Al
187(14)
Everybody's a Techie--Or at Least Has a Hybrid Job Role
201(8)
The Platforms That Make Al Work
209(8)
Intelligent Case Management Systems
217(8)
Opportunities for Entry-Level Workers: Diminishing or Not?
225(14)
Remote and Independent Work
239(10)
What Machines Can't Do (Yet)
249(10)
III Conclusions
Looking Ahead to the Future of Work with Smart Machines
259(8)
Notes 267(12)
Index 279
Thomas H. Davenport is Distinguished Professor of Information Technology and Management at Babson College, Visiting Professor at Oxfords Saïd Business School, Fellow of the MIT Initiative on the Digital Economy, and Senior Advisor to Deloittes 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.