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Working with AI

- Real Stories of Human-Machine Collaboration
Af: Steven M. Miller, Thomas H. Davenport Engelsk Hardback

Working with AI

- Real Stories of Human-Machine Collaboration
Af: Steven M. Miller, Thomas H. Davenport Engelsk Hardback
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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.
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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.
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Produktdetaljer
Sprog: Engelsk
Sider: 312
ISBN-13: 9780262047241
Indbinding: Hardback
Udgave:
ISBN-10: 0262047241
Kategori: Økonomi
Udg. Dato: 27 sep 2022
Længde: 30mm
Bredde: 238mm
Højde: 164mm
Forlag: MIT Press Ltd
Oplagsdato: 27 sep 2022
Forfatter(e): Steven M. Miller, Thomas H. Davenport
Forfatter(e) Steven M. Miller, Thomas H. Davenport

Kategori Økonomi

ISBN-13 9780262047241

Sprog Engelsk

Indbinding Hardback

Sider 312

Udgave

Længde 30mm

Bredde 238mm

Højde 164mm

Udg. Dato 27 sep 2022

Oplagsdato 27 sep 2022

Forlag MIT Press Ltd

Kategori sammenhænge