Power and Prediction L'économie perturbatrice de l'intelligence artificielle

  • en
  • Couverture rigide
  • 9781647824198
  • 15 novembre 2022
  • 288 pages
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Description du produit

Disruption resulting from the proliferation of AI is coming. The authors of the bestselling Prediction Machines can help you prepare. Artificial intelligence (AI) has impacted many industries around the world-banking and finance, pharmaceuticals, automotive, medical technology, manufacturing, and retail. But it has only just begun its odyssey toward cheaper, better, and faster predictions that drive strategic business decisions. When prediction is taken to the max, industries transform, and with such transformation comes disruption. What is at the root of this? In their bestselling first book, Prediction Machines, eminent economists Ajay Agrawal, Joshua Gans, and Avi Goldfarb explained the simple yet game-changing economics of AI. Now, in Power and Prediction, they go deeper, examining the most basic unit of analysis: the decision. The authors explain that the two key decision-making ingredients are prediction and judgment, and we perform both together in our minds, often without realizing it. The rise of AI is shifting prediction from humans to machines, relieving people from this cognitive load while increasing the speed and accuracy of decisions. This sets the stage for a flourishing of new decisions and has profound implications for system-level innovation. Redesigning systems of interdependent decisions takes time-many industries are in the quiet before the storm-but when these new systems emerge, they can be disruptive on a global scale. Decision-making confers power. In industry, power confers profits; in society, power confers control. This process will have winners and losers, and the authors show how businesses can leverage opportunities, as well as protect their positions. Filled with illuminating insights, rich examples, and practical advice, Power and Prediction is the must-read guide for any business leader or policymaker on how to make the coming AI disruptions work for you rather than against you.

Spécifications produit

Contenu

Langue
en
Binding
Couverture rigide
Date de sortie initiale
15 novembre 2022
Nombre de pages
288

Personnes impliquées

Auteur principal
Ajay Agrawal
Deuxième auteur
Joshua Gans
Editeur principal
Harvard Business Review Press

Autres spécifications

Hauteur de l'emballage
29 mm
Largeur d'emballage
160 mm
Livre d‘étude
Non
Longueur d'emballage
239 mm
Poids de l'emballage
923 g

EAN

EAN
9781647824198

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