How long does it take to read Human + Machine?
Paul R. Daugherty
Human + Machine by Paul R. Daugherty takes about 4 hours 34 minutes to read at 250 words a minute.
About 4 hours 34 minutes
A weekend read
First published 2018. 249 pages, about 68,475 words.
10 days at 30 minutes a day
Estimate based on 275 words per page.
At other speeds
| Slow, 150 words a minute | 7 hours 37 minutes |
| Average, 250 words a minute | 4 hours 34 minutes |
| Fast, 400 words a minute | 2 hours 51 minutes |
The page count is the median across 1 edition, so your copy may differ. How we calculate.
About the book
Artificial intelligence (AI) is transforming how we work right now. Are you ready? In the past, robots were typically large pieces of machinery, sectioned off from human workers to perform precise, mechanical tasks on an assembly line. But now, bots and other AI technologies go far beyond this in augmenting human capabilities--not just robots on the factory floor of an auto plant, but algorithms in the back office of a healthcare insurer and chatbots interacting with retail customers. Unlike any software tool or service that's come before, artificial intelligence has the power to profoundly change the very nature of work itself--and this is happening in all kinds of enterprises and across all functions of the organization. There's a current and growing imperative: businesses that understand how to harness AI can surge ahead, while those who neglect it are in danger of being left behind. In Human + Machine, Accenture technology leaders H. James Wilson and Paul R. Daugherty vividly illustrate how AI is redefining work and the economy. At the core of this paradigm shift is the transformation of business processes--all the step-by-step tasks that take place within an organization, from operations to customer service to workers' own personal productivity habits. As humans and smart machines collaborate ever more closely, work processes become more fluid and adaptive, enabling companies to change them on the fly--or completely reimagine them.--
Subjects: Industries, Machine Theory, Business, Computers & information Technology, Datenverarbeitung, Technische Innovation
