Prediction Machines - The Simple Economics of Artificial Intelligence - Grand Format

Edition en anglais

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Artificial intelligence dues the seemingly impossible, magically bringing machines to life—driving cars, trading stocks, and teaching children. But... Lire la suite
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Résumé

Artificial intelligence dues the seemingly impossible, magically bringing machines to life—driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policier, and people plan their lives for a world so different from what we know ? In the face of such uncertainry, many analysts 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 CEOs, managers, policy makers, investors, and entrepreneurs. When AI is framed as cheap prediction, its extraordinary potential becomes clear.

Caractéristiques

  • Date de parution
    01/01/2018
  • Editeur
  • ISBN
    978-1-63369-567-2
  • EAN
    9781633695672
  • Format
    Grand Format
  • Présentation
    Relié
  • Nb. de pages
    250 pages
  • Poids
    0.49 Kg
  • Dimensions
    16,3 cm × 24,5 cm × 2,5 cm

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À propos des auteurs

Ajay Agrawal is Professor of Strategic Management and Peter Munk Professor of Entrepreneurship at the University of Toronto's Rotman School of Management. He is also cofounder of The Next 36 and Next AI, cofounder of the Allrobotics company Kindred, and founder of the Creative Destruction Lab. Joshua Gans is Professor of Strategic Management and the holder of the Jeffrey S. Skoll Chair of Technical Innovation and Entrepreneurship at Toronto's Rotman School of Management.
Joshua is a frequent contributor to major media outlets and also writes regularly at several blogs including Digitopoly. Avi Goldfarb is the Ellison Professor of Marketing at Toronto's Rotman School of Management. Avi is also Chief Data Scientist at the Creative Destruction Lab. His research has been widely covered in the popular press.

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