An edition of Prediction machines (2018)

Prediction machines

the simple economics of artificial intelligence

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Last edited by ImportBot
December 20, 2023 | History
An edition of Prediction machines (2018)

Prediction machines

the simple economics of artificial intelligence

  • 9 Want to read
  • 1 Currently reading
  • 1 Have read

The idea of artificial intelligence--job-killing robots, self-driving cars, and self-managing organizations--captures the imagination, evoking a combination of wonder and dread for those of us who will have to deal with the consequences. But what if it's not quite so complicated? The real job of artificial intelligence, argue these three eminent economists, is to lower the cost of prediction. And once you start talking about costs, you can use some well-established economics to cut through the hype. The constant challenge for all managers is to make decisions under uncertainty. And AI contributes by making knowing what's coming in the future cheaper and more certain. But decision making has another component: judgment, which is firmly in the realm of humans, not machines. Making prediction cheaper means that we can make more predictions more accurately and assess them with our better (human) judgment. Once managers can separate tasks into components of prediction and judgment, we can begin to understand how to optimize the interface between humans and machines. More than just an account of AI's powerful capabilities, Prediction Machines shows managers how they can most effectively leverage AI, disrupting business as usual only where required, and provides businesses with a toolkit to navigate the coming wave of challenges and opportunities.--

Publish Date
Language
English
Pages
250

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Edition Availability
Cover of: Prediction machines
Prediction machines: the simple economics of artificial intelligence
2018, Harvard Business Review Press
in English

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Book Details


Table of Contents

Cheap changes everything
The magic of prediction
Why it's called intelligence
Data is the new oil
The new division of labor
Unpacking decisions
The value of judgment
Taming complexity
What machines can learn
Fully automated decision-making
Deconstructing workflows
Decomposing decisions
Job redesign
AI in the C-suite
When AI transforms your business
Managing AI risk
Beyond business.

Edition Notes

Includes bibliographical references and index.

Classifications

Dewey Decimal Class
658/.0563
Library of Congress
TA347.A78 A385 2018, TA347.A78A385 2018

The Physical Object

Pagination
x, 250 pages
Number of pages
250

ID Numbers

Open Library
OL26960401M
ISBN 10
1633695670
ISBN 13
9781633695672
LCCN
2017049211
OCLC/WorldCat
1007083496

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History

Download catalog record: RDF / JSON / OPDS | Wikipedia citation
December 20, 2023 Edited by ImportBot import existing book
March 8, 2023 Edited by MARC Bot import existing book
January 1, 2022 Edited by hayesall Added new cover
October 11, 2020 Edited by ImportBot import existing book
May 24, 2019 Created by MARC Bot Imported from marc_openlibraries_sanfranciscopubliclibrary MARC record