9780062397362
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Data-ism audiobook

  • By: Steve Lohr
  • Narrator: Walter Dixon
  • Category: Business & Economics, General
  • Length: 6 hours 33 minutes
  • Publisher: HarperAudio
  • Publish date: March 10, 2015
  • Language: English
  • (411 ratings)
(411 ratings)
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Data-ism Audiobook Summary

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 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.

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Data-ism Audiobook Narrator

Walter Dixon is the narrator of Data-ism audiobook that was written by Steve Lohr

Steve Lohr has covered technology, business, and economics for the New York Times for more than twenty years and writes for the Times' Bits blog. In 2013 he was part of the team awarded the Pulitzer Prize for Explanatory Reporting. He was a foreign correspondent for a decade and served as an editor, and has written for national publications such as the New York Times Magazine, the Atlantic, and the Washington Monthly. He is the author of Go To: The Story of the Math Majors, Bridge Players, Engineers, Chess Wizards, Maverick Scientists, and Iconoclasts–the Programmers Who Created the Software Revolution. He lives in New York City.

About the Author(s) of Data-ism

Steve Lohr is the author of Data-ism

More From the Same

Data-ism Full Details

Narrator Walter Dixon
Length 6 hours 33 minutes
Author Steve Lohr
Category
Publisher HarperAudio
Release date March 10, 2015
ISBN 9780062397362

Subjects

The publisher of the Data-ism is HarperAudio. includes the following subjects: The BISAC Subject Code is Business & Economics, General

Additional info

The publisher of the Data-ism is HarperAudio. The imprint is HarperAudio. It is supplied by HarperAudio. The ISBN-13 is 9780062397362.

Global Availability

This book is only available in the United States.

Goodreads Reviews

Elango

September 10, 2018

I picked this up expecting a dry read on Data and was rewarded with an engaging tour of data in business and a view of the actors shaping this change. Part novel like, part business history, very little technology.Written in an engaging, simple style. Recommended reading will introduce readers to the world of data and its role in our present and future. One mirror irritation is the author’s personality driven narrative of the data world. Not a deal breaker.

Colleendearborn

December 02, 2016

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.

Spencer

March 30, 2018

Insightful Read - Well-Written and ConscientiousThis book is perfect for anyone who is thinking about how to apply data sciences to their field, as was my intent when I first picked it up. It covers everything from "what is all of this talk about data being the new oil?" to "how will this all be regulated in the future?" A great read for any aspiring quant.

Kathy

January 12, 2022

More of a wide ranging, multi-disciplinary “Who’s Who” of data science than a “What” or “Why” of data science. Still it was interesting to see the data science influence (present and future) in so many different areas. Privacy concerns are discussed but not a main point.

Michael

May 12, 2021

This book is a nice collection on the state of both days in 2015. Lots of interviews with leaders in the field and helpful explanations of how big data impacts all of us.

Tim

January 22, 2019

This was great book on a 101 for data use. I have experience in data and uses, but this was good reinforcement.

Brian Tschiegg

February 07, 2017

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.

Soundview

December 22, 2016

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.

Roel

May 01, 2016

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.

Betsy

March 04, 2015

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!

Hakan

March 19, 2015

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.

warnov

June 01, 2015

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.

Ariadna73

June 21, 2015

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!

Jim

August 27, 2015

Particularly interested in the healthcare applications of big data. Love the idea that the best data scientists should want to devote their time and talent to tasks other than placing advertisements.

Jack

April 13, 2016

this is a good primer into data science and 'big data', if you're new to the subject

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