M�quinas Predictivas (Prediction Machines Spanish Edition): La Sencilla Econom�a de la Inteligencia Artificial...

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Ajay Agrawal Joshua Gans

M�quinas Predictivas (Prediction Machines Spanish Edition)

La Sencilla Econom�a de la Inteligencia Artificial

Ajay Agrawal, Joshua Gans, Avi Goldfarb

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Spanish

Reverte Management International
21 May 2020

Economics; Management & management techniques; Operational research; Information technology industries; Enterprise software; Artificial intelligence

La inteligencia artificial hace lo aparentemente imposible, trayendo m�gicamente las m�quinas a los coches que conducen la vida, intercambiando acciones y ense�ando a los ni�os. Pero enfrentar el cambio radical que traer� la IA puede ser paralizante. �C�mo deber�an las empresas establecer estrategias, los gobiernos dise�ar pol�ticas y las personas planificar sus vidas para un mundo tan diferente al que conocemos? Ante tal incertidumbre, muchos analistas se acobardan de miedo o predicen un futuro imposiblemente soleado. ///// Artificial intelligence does 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 policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, 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.

By: Ajay Agrawal, Joshua Gans, Avi Goldfarb
Imprint: Reverte Management International
Country of Publication: Spain
Dimensions: Height: 211mm, Width: 147mm, Spine: 20mm
Weight: 363g
ISBN: 9788494949388
ISBN 10: 8494949381
Pages: 320
Publication Date: 21 May 2020
Audience: General/trade , ELT Advanced
Format: Paperback
Publisher's Status: Unknown

Ajay Agrawal, Joshua Gans y Avi Goldfarb son reputados economistas y profesores de la Rotman School of Management de la Universidad de Toronto. Todos ellos forman parte del Creative Destruction Lab, un programa de investigaci�n con un fuerte �nfasis en el aprendizaje de la m�quina.