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Steve Lohr, a technology reporter for the New York Times, chronicles the rise of Big Data, addressing cutting-edge business strategies and examining the dark side of a data-driven world.Coal, iron ore, and oil were the key productive assets that fueled the Industrial Revolution. Today, Data is the vital raw material of the information economy. The explosive abundance of thSteve Lohr, a technology reporter for the New York Times, chronicles the rise of Big Data, addressing cutting-edge business strategies and examining the dark side of a data-driven world.Coal, iron ore, and oil were the key productive assets that fueled the Industrial Revolution. Today, Data is the vital raw material of the information economy. The explosive abundance of this digital asset, more than doubling every two years, is creating a new world of opportunity and challenge.Data-ism is about this next phase, in which vast, Internet-scale data sets are used for discovery and prediction in virtually every field. It is a journey across this emerging world with people, illuminating narrative examples, and insights. It shows that, if exploited, this new revolution will change the way decisions are made—relying more on data and analysis, and less on intuition and experience—and transform the nature of leadership and management.Lohr explains how individuals and institutions will need to exploit, protect, and manage their data to stay competitive in the coming years. Filled with rich examples and anecdotes of the various ways in which the rise of Big Data is affecting everyday life it raises provocative questions about policy and practice that have wide implications for all of our lives....

Title : Data-ism: The Revolution Transforming Decision Making, Consumer Behavior, and Almost Everything Else
Author :
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ISBN : 9780062226815
Format Type : Hardcover
Number of Pages : 256 Pages
Status : Available For Download
Last checked : 21 Minutes ago!

Data-ism: The Revolution Transforming Decision Making, Consumer Behavior, and Almost Everything Else Reviews

  • Rion
    2019-05-27 15:00

    Some of the who and what data science is about. More pros than cons. The pros are elaborated on while cons are reduced to basic quotes. No real research on the social consequences of a future that regards efficiency more important than humanity. Social Darwinism at it's worst and this book chooses not to even attempt to rationalize a future in which the only jobs left for humans are ones maintaining machines. And when machines can maintain and innovate themselves? Scary book. I understand better now why Musk is calling for his peers in Silicon Valley to slow down the artificial development projects. Data scientists should take a few philosophy and political science courses instead of just pushing the idea, "what does the data say first". All good scientists know that data is only as good as it's source and how it fits into the bigger picture. This should include human society and the very real socially genocidal consequences that will occur when the socially elite have even more tools to exploit capitalism to it's worst manifestation. Who will big data benefit at this point in humanities current economic and political evolutionary stage? I think it's obvious and this book does if nothing else, prove that we are not ready for how it's already being used. As I write this I'm painfully aware that someone other than my friends and intended audience are reading and arrogantly believing they have the right to all data. I clearly see now that the Internet has effectively been perverted. Knew it would and was happening. Wasn't completely aware of the extent. This book at least shines some light on the next greatest threat since the discovery of how to split an atom. Create a human honey pot and exploit their psychological dispositions to gain advantage, click here to gain access, don't worry about the complicated lawyer speech in our privacy statements that give all your rights to privacy away. Old game, new strategy. Let the so called willing enslavement begin. What could we expect from a largely lawless medium that allows predatory behavior to be the law of the land once again. Without knowledgeable societal restrictions Nietzsche's application of social Darwinian and realist strongman philosophy will maintain dominant and a danger to everyone not with the technical skills to protect themselves.

  • Don LaFountaine
    2019-06-04 17:50

    While this was not quite what I expected before I started to read this book, I did like it. The thing is that this is not a book that an average reader will enjoy if they pick it up. It is written and geared towards people that have an interest in math, business applications, technology, and how these categories are being used in the 21st century. There is a solid historic background that the author provides the reader about how business practices have changed over time. Though not written in a linear fashion, (past...present...future...)he gets the historical prospective across. Along with that, the reader learns how people are using math, physics, computer science, and other number crunching and analyzing tools to help make decisions that affect employees and people worldwide. Many people have heard about Google doing this, as well as Facebook. What is also discussed is how this ay well be used in other fields such as medicine. The author states that the Doctor will no longer be the person in charge of medical care; that algorithms, as set up by data scientists, will be available to provide a doctor with a diagnosis of a patient's condition. The book discusses a number of people who are helping to make this happen. All elite college educated people, they have become wealthy working for various companies throughout their lives. Though they generally last only a couple of years until they are bored and move onto another place, they are the ones designing programs, codes, and equations to make computers and machines work faster, better, and finally more intelligently than ever before.Though exciting possibilities abound with using Big Data as a means to make decisions and make things better for others, the author glosses over any trouble that may be caused by relying so much on computers and data. He mentions in passing that human bias is in the programming, but does not really go into how dangerous that is, except to say that it is possible some people may be negatively affected by it. The back of the book says he examines the dark side of a data-driven world, but I found that there is less than 20 pages examining the "dark side". The book is definitely biased towards how positive Big Data will be on everyone's lives, and in my opinion, downplays the potential dangers and side effects. With that said, this is a good book for managers, people that are interested in how data can be used to improve and change practices, and those that are interested in how American society is changing.

  • Jeff Gough
    2019-06-07 10:48

    Basically a survey in Big Data trends, and the companies and personalities pursuing them. This is an easy read and sometimes seems to float all over the place.

  • Colleendearborn
    2019-06-13 11:57

    Excellent writing and narrating by this New York Times reporter. Steve Lohr brings this concept to life with interesting biographies of people who have worked on projects involving Big Data. I thoroughly enjoyed this book, and may listen to it again -- so I can understand it better. Got it from HooplaDigital.

  • Mark
    2019-06-13 16:54

    Excellent General Introduction to Data ScienceSteve Mohr is an excellent writer on technology for the general public. He provides a compelling set of examples where applications of data science are creating a new field or transforming an existing field.

  • Tim
    2019-06-25 16:56

    This is a book more about people than data. There are some interesting stories about how data is used to improve hospitals, pharma, hotels, and retail stores, but I wasn't that interested in the detailed biographies that filled most of the book. A quick read overall.

  • Lisa
    2019-06-09 18:03

    OK, so it might not be the most exciting book, but it is interesting if you want historical look at some of the big players in the data revolution. This read like multiple biographies laced together under the umbrella of today's technology of data.

  • Patrick Lum
    2019-06-17 16:56

    It was alright, but kinda just felt like an extended magazine article - no 'flare' to it for whatever reason.

  • Darcy
    2019-06-14 12:48

    A great introduction to data-science and how this science emerged his application in our society his issues and more.

  • Kayson Fakhar
    2019-06-21 17:58

    I’m reading this book probably because I am already aware of how important big data is. The major problem was the unnecessary emphasis on this importance till it gets annoying for me.

  • Brian Tschiegg
    2019-06-07 15:49

    Good ReportingLohr is a good reporter, but that can make his imagery a bit dry. The book served its purpose though: I know a lot more about how big data is changing the world in ways both good and bad.

  • Patrik
    2019-06-01 13:50

    To be fair, I should have read the. Bookjacket more carefully. I anticipated a more useful and practical book. This is an exposé of the history of big data and its development. Full of anecdotes and (irrelevant) descriptions of what the various scientists were wearing at the time they were interviewed.

  • Craig Citro
    2019-06-15 16:44

    Maybe I wasn't the audience for this book, but I thought it was long on words and short on content.

  • Christopher Lawson
    2019-05-31 13:04

    √ Big Data: The New Power Brokers of Society?DATA-ISM is an extensive look at what the author views as a coming societal/business revolution due to "big data." "Big Data technology is ushering in a revolution in measurement the promises to be the basis for the next wave of efficiency and innovation. " The author believes that big data will lead to a huge step forward in computing: "The Big Data era is the next evolutionary upheaval in the landscape of computing."The author explains that the term "data-ism"came from his colleague David Brooks, at the New York Times. Much of the focus of this book is on the top players in the game of big data. Scientists, and other researchers. One of these researchers is studying how to use the data in hospitals. With so many people sick and in intensive care, the amount of data coming from the instruments is astonishing. But is there a way that researchers and doctors can use that medicine to develop better treatment for these patients?With all this new data, the authors suggest that decisions will not be made so much on intuition, or even experience, but instead, "Decisions of all kind should be increasingly made based on data and analysis rather than experience and intuition."One very interesting thing I learned from this book was a website called acxiom. In this site you input your name and some other information, and it will tell you what information it has gathered on you. (Actually, you should use, https://www.aboutthedata.com/)All in all, DATA-ISM is a fascinating look at the possibilities--both good and bad--of using this new barrage of information. There are extensive and notes to support the author's commentary.

  • Soundview Executive Book Summaries
    2019-06-26 13:08

    Data-ism: The Revolution Transforming Decision Making, Consumer Behavior, and Almost Everything Else by Steve Lohr was chosen by Soundview Executive Book Summaries as one of the Top 30 Business Books of 2015.THE SOUNDVIEW REVIEW:Data-ism is perhaps one of the most balanced, levelheaded examinations of the potential of big data. Author Lohr never hesitates to give voice to the critics or skeptics of a data-driven world, nor fails to point out the limitations of artificial intelligence. It is this balance and restraint, however, that makes Lohr and his book the most persuasive champions of the massive and generally positive changes that “the virtuous cycle of more and more varied data and smarter and smarter algorithms, written by human programmers” will make in our lives. In short, quantification will not replace wisdom, as Wieseltier fears; but, Lohr shows, it will augment our wisdom — working with our amazing human brains — to help us make better decisions, free our time and energy to focus on the tasks where we can make the most difference, and, ultimately, make the world a much better place.Soundview's in-depth, 4-page Executive Summary of Data-ism is available here.

  • Kimberly
    2019-06-22 12:07

    I've been raving about this book to co-workers, friends, and acquaintances since the second chapter! I am living this book - I remember learning of concerns about "artificial intelligence" and now I benefit from the accumulation of "big data," as we all do. I took a class many years ago in my undergrad studies about the future of computers and their potential to revolutionize healthcare. This book is like the mirror image of that class - or like the accompanying bookend. The author of this book describes the history of big data, its current state, and its potential future. The philosophies of quants, corporate executives, and privacy protection advocates are discussed in a very approachable manner and so I now have a much better understanding of the benefits and the dark sides of data-driven decisions - this book has enlightened me.

  • Roel Peters
    2019-06-21 14:47

    We're constantly being told how 'big data' is going to change the world. However, few know what the definition of 'big data' is, how it works and how exactly it's going to change the world. This book explores several and sometimes unexpected fields where data is being used to improve goods and services, for efficiency and for profitability reasons. Steve Lohr spends quite a lot of time in the biography and the looks of his interviewees, which sometimes slows down the pace of the book. Furthermore, it was not what I expected from the book (I was looking for a more technical approach). Nevertheless, I can really recommend it to those who want to know what 'Big Data' is all about. Great read.

  • Tommy
    2019-05-31 11:08

    I was a First Reads lucky winner! Thank you Goodreads and Harper! Data-ism is an enlightening, educational look into big data at its core. From McKessson to IBM to Facebook to Cloudera, among others, we learn about the science behind data as well as its origins. The author adeptly explains the data-first approach and how it relates to all disciplines of study. Through the career of Jeffrey Hammerbacher, we see the evolution of data science still in the early stages of development. Big data has big implications on our everyday lives. Nevertheless, one quote stuck with me throughout - "Not everything that can be counted counts, and not everything that counts can be counted."

  • Betsy Fawcett
    2019-06-05 16:59

    As a person who really doesn't enjoy non-fiction that much....this book was really good. The author does a great job at making his facts and data applicable to 'real world' situations. I would recommend this for anyone who is interested in learning more about the progression of big data and consumer behavior.It was a great book to read along with my Economics course too so that was an extra bonus.I received this as a Goodreads First Read.Thank you so much for the great and informative read!

  • Doruk Kurt
    2019-06-03 12:53

    Data-ism is a great general introduction to big data and what it can change in the way we think about the world/do business. It is full with bios of the experts in the field. I usually enjoy personal stories, so I enjoyed reading this book but it can be too much if you are looking for a different experience. Additionally, I can not say that I learned new insights.

  • Hakan Jackson
    2019-06-06 15:44

    This isn't the first book about big data, but it's the most up to date book and written from the perspective of some of the biggest players. It recognizes that big data hasn't reached its potential yet and isn't shy about the limitations. That said, businesses in every industry will eventually be affected... it just might take a while.

  • Todd
    2019-06-19 16:44

    Not a bad book about big data and the uses that come with it. Also explores those that are on the front of big data and where they're working now. Fairly similar to other books like Super Crunchers that examines how algorithms are affecting all parts of society from how we cool our houses to how vineyards are growing better grapes.

  • Sachin Gopal
    2019-06-16 15:04

    I got this book on recommendation by a very famous cio site. This was on their must read list. Unfortunately the book was not as informative the way I expected. A lot of asci character went wasted describing more about people who were working on data analytic instead. I would not recommend this book.

  • warnov
    2019-06-02 13:56

    This book has a great approach of a tendency that will be on the top of mind of technical people from now on. It explores pros and cons and has many real examples that illustrates how big is the data. How big, is the big data.

  • Nancy
    2019-06-24 16:04

    A review of the history and personalities behind the changing world of big, data. From medicine to agriculture, it has arrived and will continue to affect our daily lives. A peek behind the curtain in a slim volume from a reporter.

  • TamáS Varga
    2019-05-31 14:00

    Huge letdown, as I had high expectations about this topic because of Homo Deus Basically only provides an overview, gives countless examples, but is not engaging, unline the ending of Homo Deus Not philisophical at all

  • Justin Dugger
    2019-06-15 11:54

    NYTimes reporter writes tech book using only New York sources. Very reliant on IBM whitepapers and consulting case studies.Very little mention of the spurious correlation downside to big data: the number of 'significant' correlations found depends on the number of number of regressions tried.

  • Ariadna73
    2019-06-08 17:45

    Interesting, although I found nothing really new to learn in this one. Every once in a while it is good to remember that the 99% poorest people in the world spend $8 billion a year only paying for interests and fees on borrowed money. Obscene!

  • Kristiana
    2019-06-17 11:07

    When we talk about machines taking over the world, we don't often look at the data we willingly give out about ourselves. This is an interesting look at the data companies use to market, the health care profession can use to automate care, and how comfortable or oblivious we are to those things.

  • Luiz Henrique
    2019-06-26 17:52

    Bom livro. Apresenta as possibilidades da coleta e análise de grandes quantidades de dados, seus impactos atuais, pesquisas, experimentos e prováveis impactos futuros. Bom exercício de futurologia e um alerta de adequação para empreendedores, gestores e profissionais em formação.