Big Data: A Revolution That Will Transform How We Live, Work, and Think Kenneth Cukier . Mayer-Schonberger and Cukier’s book aims to provide an initial survey and analysis .. This is a fascinating exploration of the topic of what happens when the sample size of a given field of study reaches the point where n =all. Big Data. A Revolution That Will Transform How We Live, Work and Think. By Viktor Mayer-Schonberger and Kenneth Cukier. Hardback. Big Data: A Revolution That Will Transform How We Live, Work and Think. Amazon Exclusive: Q&A with Kenneth Cukier and Viktor Mayer-Schonberger Q. What on big data research in China, Knowledge and Information Systems, v n
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Pay no attention to a historical record that shows that programming and data will not solve our problems, that technology company executives do not have all the answers, and that the facts do not speak for themselves.
All of these points could have been made in a hundred pages I think, and beil just the first half of the book would give a reader the basic ideas intended by the author.
The authors sum up the rise of Big Data as representing three shifts in the way we would analyze information in future and consequently organize society. Overall then, whilst the book provides an initial text about big data and does cuukier some interesting and useful nuggets, the analysis in general is narrow and weak, and it kennneth more about championing an emerging ICT market than providing a thorough, critical overview of the nature of big data and its implications and consequences.
He is a member of the Council on Foreign Relations. Our every action of regular life creates a sort of data, which ultimately can be used to regulate, observe, predict and prepare a lot of things.
Customers who viewed this item also viewed. Third, that the types of questions asked changes from why causation to what correlation: Oct 03, Pradeep Nair rated it really liked it.
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The next time your insurance premium goes up is it because they have guessed you fit within a certain demographic, or is it because they have access to more health information about you than your family doctor?
First, it ignores completely emerging debates about the kind of empiricism and mayer-schonnberger dredging they describe, which are deeply problematic in all kinds of ways, and the data-driven science being advocated by scientists. Good Book for Beginners. May 01, Elizabeth Theiss rated it liked it Shelves: An even more worrying scenario is the propensity in future, based on Dzta Data analysis, to condemn someone for having a high probability of committing a crime or offence even before the offence is committed.
Fourth, they rightly acknowledge that big data raises all kinds of ethical issues, but their analysis lacks depth and critique and pushes a business-friendly, market-orientated line about self-regulation without adequately setting out the pros and cons of such a strategy. If you want to understand this cukied important aspect of contemporary life, I suggest you read Big Data.
Still mayer-schonbergrr up–but not a lot beyond talking at the high-level what can and has been done with big data.
Most notably, as more and more information about us is recorded, kept and used, our privacy is increasingly threatened. Of Defense in Vietnam Finally, increasingly sophisticated computer algorithms are allowing us to analyze this information more deeply than ever, and are revealing interesting and often counter-intuitive relationships that would never have been possible previously.
We all are living in digital era but we are not always aware about what can be happen to our digital information. Mayer-Schonberger and Cukier show us the surprising ways that enormous, complex and messy collections maer-schonberger data can be used to predict everything from shopping patterns to flu outbreaks’ — Clay Shirky, author of Cognitive Surplus and Here Comes Everybody.
We measure an enormous amount of data, most seemingly useless. Edward Snowdon exposed Big Data. Thanh Tran in my opinion, just go fast thrown it.
The iPhone already records everything you do, the number of steps you take, where you are at any given time. Email alerts New issue alert. Second, the account is quite sketchy as to how analysts can make sense of big data and ivktor new analytical techniques that are being developed.
Big Data: A Revolution That Will Transform How We Live, Work, and Think
Not the least that we now live in what is a total surveillance society. That is how this book starts and this is the story it tells. To begin with, digital devices that record our movements and communications, and digital sensors that record the behavior of inanimate objects and systems have become widespread and are proliferating wildly.
Aug 25, Juliana rated it really liked it Shelves: Way too long and repetitive. How did Target know? The book is informative as well as thought provoking, it may even give you an idea or two to start a new venture of your own. Mister Memory Marcus Sedgwick. Write a product review. The first time I came across the idea of quantity transforming into quality was when I read Friedrich Engels’ ‘Dialectics of Nature’ a long while ago.
It only gets three stars because it can be repetitious. Robert McNamara, Secy of Defence in the Johnson administration, went about escalating the Vietnam war by relying on ‘death count’ as an indication of how the war was progressing. Statistical information, or data, has long been recognized to be a potentially rich and valuable source of knowledge. The book is padded and repetitive plus most of the examples have already been published in articles. One person found this helpful.
Want to Read Currently Reading Read. It is a fundamental tenet of our society that individual responsibility is tied to individual choice of action.
The book tells you a lot about Big Data, the ubiquitous term nowadays. Google used this approach at an even more massive level.
Kenneth Cukier – Wikipedia
This is one of those books. The authors are right that such predictive analyses can play an important role in improving health, even without establishing causality; but at the same time, they fail to appreciate the central role of understanding causality in improving public health, and too often conflate predictive and etiologic inference.
This book is an incredibly important start’ — Lawrence Lessig, Roy L. The first four times these points were raised were sufficient for me. In he was named to the board of directors of International Bridges to Justice. However, their analysis is weak in a number of respects.