Dispatched, from the UK, within 48 hours of ordering. Though second-hand, the book is still in very good shape. Minimal signs of usage may include very minor creasing on the cover or on the spine. Grubby book may have mild dirt or some staining, mostly on the edges of pages. Bestandsnummer des Verk�ufers CHL10324459

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Bibliografische Details

Titel: Big Data: The Essential Guide to Work, Life ...

Verlag: John Murray

Erscheinungsdatum: 2017

Einband: Paperback

Zustand: Used; Very Good

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Inhaltsangabe:

New and expanded edition.

An International Bestseller - Over One Million Copies Sold!

Shortlisted for the Financial Times/Goldman Sachs Business Book of the Year Award.

Since Aristotle, we have fought to understand the causes behind everything. But this ideology is fading. In the age of big data, we can crunch an incomprehensible amount of information, providing us with invaluable insights about the what rather than the why.

We're just starting to reap the benefits: tracking vital signs to foresee deadly infections, predicting building fires, anticipating the best moment to buy a plane ticket, seeing inflation in real time and monitoring social media in order to identify trends. But there is a dark side to big data. Will it be machines, rather than people, that make the decisions? How do you regulate an algorithm? What will happen to privacy? Will individuals be punished for acts they have yet to commit?

In this groundbreaking and fascinating book, two of the world's most-respected data experts reveal the reality of a big data world and outline clear and actionable steps that will equip the reader with the tools needed for this next phase of human evolution.

�ber die Autorinnen und Autoren:

Viktor Mayer-Sch�nberger is Professor of Internet Governance and Regulation at Oxford University following a decade on the faculty of Harvard's Kennedy School. He is one of the most respected authorities on what is happening in the big data arena. His book, Delete: The Virtue of Forgetting in the Digital Age is considered a seminal work on the ever-presence of data.

Kenneth Cukier is the Data Editor of The Economist and a leading thinker on developments in big data. His writing on technology, business and society has appeared in Foreign Affairs, New York Times, Wall Street Journal, Financial Times and elsewhere. He is a member of the Council on Foreign Relations.

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