Working with AI
Thomas H. Davenport
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.
Author - Thomas H. Davenport.
Narrator - Tim Andres Pabon.
Published Date - Wednesday, 03 January 2024.
Location:
United States
Description:
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. Author - Thomas H. Davenport. Narrator - Tim Andres Pabon. Published Date - Wednesday, 03 January 2024.
Language:
English
Chapter 1
Duration:00:00:32
Chapter 2
Duration:00:00:42
Chapter 3
Duration:00:24:39
Chapter 4
Duration:00:13:10
Chapter 5
Duration:00:11:18
Chapter 6
Duration:00:10:59
Chapter 7
Duration:00:09:23
Chapter 8
Duration:00:15:33
Chapter 9
Duration:00:11:23
Chapter 10
Duration:00:11:51
Chapter 11
Duration:00:13:25
Chapter 12
Duration:00:09:31
Chapter 13
Duration:00:14:11
Chapter 14
Duration:00:15:44
Chapter 15
Duration:00:14:02
Chapter 16
Duration:00:13:39
Chapter 17
Duration:00:10:41
Chapter 18
Duration:00:14:13
Chapter 19
Duration:00:10:32
Chapter 20
Duration:00:08:48
Chapter 21
Duration:00:21:01
Chapter 22
Duration:00:10:04
Chapter 23
Duration:00:12:02
Chapter 24
Duration:00:07:02
Chapter 25
Duration:00:11:19
Chapter 26
Duration:00:07:57
Chapter 27
Duration:00:07:59
Chapter 28
Duration:00:12:39
Chapter 29
Duration:00:13:45
Chapter 30
Duration:00:11:56
Chapter 31
Duration:00:07:49
Chapter 32
Duration:00:13:17
Chapter 33
Duration:00:28:16
Chapter 34
Duration:00:14:51
Chapter 35
Duration:00:14:30
Chapter 36
Duration:00:15:34
Chapter 37
Duration:00:30:49
Chapter 38
Duration:00:19:40
Chapter 39
Duration:00:16:54
Chapter 40
Duration:00:18:03
Chapter 41
Duration:00:00:32