- Capa comum: 252 páginas
- Editora: Eamon Dolan/Houghton Mifflin Harcourt; Edição: Reprint (4 de março de 2014)
- Idioma: Inglês
- ISBN-10: 0544227751
- ISBN-13: 978-0544227750
- Dimensões do produto: 13,5 x 2 x 20,3 cm
- Peso de envio: 227 g
- Avaliação média: 1 avaliação de cliente
- Lista de mais vendidos da Amazon: no. 57,495 em Livros (Conheça o Top 100 na categoria Livros)
Big Data: A Revolution That Will Transform How We Live, Work, and Think (Inglês) Capa Comum – 3 mar 2014
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Illuminating and very timely . . . a fascinating and sometimes alarming survey of big data s growing effect on just about everything: business, government, science and medicine, privacy, and even on the way we think. New York Times
It seems like big data is in the news every day, as we read the latest examples of how powerful algorithms are teasing out the hidden connections between seemingly unrelated things. Whether it is used by the NSA to fight terrorism or by online retailers to predict customers buying patterns, big data is a revolution occurring around us, in the process of forever changing economics, science, culture, and the very way we think. But it also poses new threats, from the end of privacy as we know it to the prospect of being penalized for things we haven t even done yet, based on big data s ability to predict our future behavior. What we have already seen is just the tip of the iceberg.
Big Data is the first major book about this earthshaking subject, with two leading experts explaining what big data is, how it will change our lives, and what we can do to protect ourselves from its hazards.
An optimistic and practical look at the Big Data revolution just the thing to get your head around the big changes already underway and the bigger changes to come. Cory Doctorow, boingboing.com
[AU PHOTO] VIKTOR MAYER-SCHONBERGER is Professor of Internet Governance and Regulation at the Oxford Internet Institute, Oxford University. A widely recognized authority on big data, he is the author of over a hundred articles and eight books, of which the most recent is Delete: The Virtue of Forgetting in the Digital Age.
[AU PHOTO] KENNETH CUKIER is the Data Editor of the Economist and a prominent commentator on developments in big data. His writings on business and economics have appeared in Foreign Affairs, the New York Times, the Financial Times, and elsewhere.
Sobre o Autor
VIKTOR MAYER-SCHÖNBERGER is Professor of Internet Governance and Regulation at the Oxford Internet Institute, Oxford University. The co-author of Big Data: A Revolution That Will Transform How We, Live, Work, and Think, he has published over a hundred articles and eight other books, including Delete: The Virtue of Forgetting in the Digital Age. He is on the advisory boards of corporations and organizations around the world, including Microsoft and the World Economic Forum.
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The book offers a scary overview into how your data and my data gets gobbled up, warehoused, sold and resold in a way that it is very unlikely each of us will be allowed any privacy that can be honestly protected. There are good and bad elements of this tidal wave. It could help put out fires in many areas of our lives - medical treatments, urban planning, marketing effectiveness, quality of life, etc. - while at the same time drowning us all at the bottom of a world where the root purpose of our lives is not as important as what is "trending" on Twitter. Unfortunately, the solutions proposed by the authors to protect us as a countervailing force ( "human agency") against this threat in response to the data tsunami fall far short of a reliable answer. When you read about their self-policing recommendation to be ushered in by the data accumulators and industry experts with integrity, please go ahead and super impose over that hype the previously glossy image of firms like Arthur Anderson (mother ship to Accenture) that were supposed to be watchdogs responsible for detecting and exposing accounting malfeasance but now are dead and gone at the bottom of the cesspool of professional crooks.
The most troubling aspect of the book's scan of the global data landscape lies in giving credence to "correlation" over "causation." What this boils down to saying to the general public, "We're throwing away the compass used by Western Civilization for a couple of thousand years and forgetting true North. The way of the future is better decided by being able to predict which way the wind blows." ( My quote ). This path of expediency arises boldly as the final recommendation with a naive promise that society will then use the predictions to correct problems that bedevil us now because we mere humans are too silly (pandering to dull-witted conclusions characterized in examples from old BB coaches in the movie Moneyball ) and wasting time trying to determine ultimate root causes. The data will show us what we cannot figure out.
Let me contrast with that viewpoint an example of why causation still reigns supreme over the latent power of "N=all" data bases. If numbers were the ultimate answer to solving problems rather than root cause analysis why is it that the USA has not solved the "benign neglect" collateral damage of our national welfare system that Sen. Daniel Patrick Moynihan warned the country about in 1969 as tech wonk in DC? We have more than enough data to verify his warning being prescient in the over 40 year backwash of statistics chronicling the break down of black family structures. Still, the data is not correcting outcomes like the 70% of black children born without a father in the family. BIG DATA won't slow down the wave of problems eroding our cultural shores unless we, as people, deal with the root causes honestly and forcefully.
We should all be aware of how BIG DATA could end up being a surfer's guide to staying ahead of the waves until everything crashes into the rocky shore awaiting us. Understand and confront it now, if we can.