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Working with AI: Real Stories of Human-Machine ... by Miller, Steven M. Hardback

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Item specifics

Condition
Like New: A book in excellent condition. Cover is shiny and undamaged, and the dust jacket is ...
Artist
Miller, Steven M.
Brand
N/A
Type
Hardback
EAN
9780262047241
ISBN
0262047241
Publication Name
N/A
Release Title
Working with AI: Real Stories of Human-Machine Collaboration (...
Colour
N/A
Book Title
Working with Ai : Real Stories of Human-Machine Collaboration
Item Length
9.4in
Publisher
MIT Press
Publication Year
2022
Format
Hardcover
Language
English
Item Height
1.1in
Author
Thomas H. Davenport, Steven M. Miller
Genre
Computers, Business & Economics
Topic
Economic History, Intelligence (Ai) & Semantics, Management, Labor
Item Width
6.5in
Item Weight
20.3 Oz
Number of Pages
312 Pages

About this product

Product Information

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.

Product Identifiers

Publisher
MIT Press
ISBN-10
0262047241
ISBN-13
9780262047241
eBay Product ID (ePID)
4057235636

Product Key Features

Book Title
Working with Ai : Real Stories of Human-Machine Collaboration
Author
Thomas H. Davenport, Steven M. Miller
Format
Hardcover
Language
English
Topic
Economic History, Intelligence (Ai) & Semantics, Management, Labor
Publication Year
2022
Genre
Computers, Business & Economics
Number of Pages
312 Pages

Dimensions

Item Length
9.4in
Item Height
1.1in
Item Width
6.5in
Item Weight
20.3 Oz

Additional Product Features

Lc Classification Number
Hc79.I55d3778 2022
Reviews
"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 it's time to call in the experts, and in Working with AI: Real Stories of Human-Machine Collaboratio n, 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 " 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
Table of Content
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--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 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
Lccn
2021-060551
Dewey Decimal
658.0563
Intended Audience
Trade
Series
Management on the Cutting Edge Ser.
Dewey Edition
23

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