Name: The Efficiency Paradox: What big Data Can't do (en Inglés)
Price: 86061.00 COP
Availability: InStock
Author: Edward Tenner
ISBN: 9781400034888

portada The Efficiency Paradox: What big Data Can't do (en Inglés)

Formato

Libro Físico

Editorial

Vintage

Autor

Edward Tenner

Año

2019

Idioma

Inglés

N° páginas

320

Encuadernación

Tapa Blanda

ISBN13

9781400034888

N° edición

N/A

Categorías

Economía del conocimiento
Gestión del conocimiento empresarial

The Efficiency Paradox: What big Data Can't do (en Inglés)

Edward Tenner (Autor) · Vintage · Tapa Blanda

Libro Nuevo

$ 86.061

$ 130.395

Ahorras: $ 44.334

34% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Miércoles 29 de Mayo y el Viernes 07 de Junio.

Lo recibirás en cualquier lugar de Colombia entre 1 y 5 días hábiles luego del envío.

Reseña del libro "The Efficiency Paradox: What big Data Can't do (en Inglés)"

A bold challenge to our obsession with efficiency—and a new understanding of how to benefit from the powerful potential of serendipity.Algorithms, multitasking, the sharing economy, life hacks: our culture can't get enough of efficiency. One of the great promises of the Internet and big data revolutions is the idea that we can improve the processes and routines of our work and personal lives to get more done in less time than we ever have before. There is no doubt that we're performing at higher levels and moving at unprecedented speed, but what if we're headed in the wrong direction?Melding the long-term history of technology with the latest headlines and findings of computer science and social science, The Efficiency Paradox questions our ingrained assumptions about efficiency, persuasively showing how relying on the algorithms of digital platforms can in fact lead to wasted efforts, missed opportunities, and, above all, an inability to break out of established patterns. Edward Tenner offers a smarter way of thinking about efficiency, revealing what we and our institutions, when equipped with an astute combination of artificial intelligence and trained intuition, can learn from the random and unexpected.