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Prediction machines : the simple economics of artificial intelligence

Title
Prediction machines : the simple economics of artificial intelligence / Ajay Agrawal, Joshua Gans, Avi Goldfarb.
ISBN
9781647824686
1647824680
9781647824679
Edition
Updated and expanded edition.
Publication
Boston, Massachusetts : Harvard Business Review Press, [2022]
Physical Description
1 online resource (xii, 280 pages) : illustrations
Local Notes
Access is available to the Yale community.
Notes
Description based on online resource; title from digital title page (viewed on January 03, 2023).
Access and use
Access restricted by licensing agreement.
Summary
"Artificial intelligence seems to do the impossible, magically bringing machines to life-driving cars, trading stocks, and teaching children. But facing the sea change that AI brings can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many either cower in fear or predict an impossibly sunny future. But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by executives, policy makers, investors, and entrepreneurs. In this newly revised and expanded edition, the authors illustrate how, when AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions amid uncertainty. Our businesses and personal lives are riddled with such decisions; prediction tools increase productivity-operating machines, handling documents, communicating with customers; and uncertainty constrains strategy. Better prediction creates opportunities for new business strategies to compete. Reflecting on the book's reception, the authors reset the context, describing the striking impact the book has had and how its argument and its implications are playing out in the real world. And in new material, they explain how prediction fits into decision-making processes and how foundational technologies such as quantum computing will impact business choices. Penetrating, insightful, and practical, Prediction Machines will help you navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple"-- Provided by publisher.
Variant and related titles
EBSCO Harvard business publishing collection. OCLC KB.
Other formats
Print version: Agrawal, Ajay. Prediction machines Updated and expanded edition Boston, Massachusetts : Harvard Business Review Press, [2022]
Other editions
Agrawal, Ajay. Prediction machines. Boston, Massachusetts : Harvard Business Review Press, [2018]
Format
Books / Online
Language
English
Added to Catalog
February 29, 2024
Bibliography
Includes bibliographical references and index.
Contents
Introduction: Machine intelligence
Cheap changes everything
Part One: Prediction. Prediction machine magic
The job of prediction
Why it's called intelligence
Data is the new oil
The new division of labor
Part Two: Decision-making. Unpacking decisions
The value of judgment
Predicting judgment
Taming complexity
Fully automated decision making
What's at stake
Part Three: Tools. Deconstructing workflows
Decomposing decisions
Job redesign
Part Four: Strategy. AI in the C-suite
When AI transforms your business
Your learning strategy
Managing AI risk
Part Five: Society. Beyond business.
Citation

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