Data-ism

Data-ism

The Revolution Transforming Decision Making, Consumer Behavior, and Almost Everything Else

Book - 2015
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By one estimate, 90 percent of all of the data in history was created in the last two years. In 2014, International Data Corporation calculated the data universe at 4.4 zettabytes, or 4.4 trillion gigabytes. That much information, in volume, could fill enough slender iPad Air tablets to create a stack two-thirds of the way to the moon. Coal, iron ore, and oil were the key productive assets that fueled the Industrial Revolution. The vital raw material of today's information economy is data. In Data-ism, New York Times technology reporter Steve Lohr explains how big-data technology is ushering in a revolution in proportions that promise to be the basis of the next wave of efficiency and innovation across the economy. But more is at work here than technology. Big data is also the vehicle for a point of view, or philosophy, about how decisions will be -- and perhaps should be -- made in the future. This new revolution could change decision making -- by relying more on data and analysis, and less on intuition and experience -- and transform the nature of leadership and management. Focusing on young entrepreneurs at the forefront of data science as well as on giant companies such as IBM that are making big bets on data science for the future of their businesses, Data-ism is a field guide to what is ahead, explaining how individuals and institutions will need to exploit, protect, and manage data to stay competitive in the coming years.
Publisher: New York, NY :, HarperCollins Publishers,, [2015]
Edition: First edition
Copyright Date: ©2015
ISBN: 9780062226822
0062226827
9780062226815
0062226819
Branch Call Number: 658.4038 L833d 2015
Characteristics: xi, 239 pages ; 24 cm
Alternative Title: Dataism

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StarGladiator
Feb 02, 2018

This is an excellent book!
Of course, Big Data [meaning Big Data Mining] can work both against us and - - occasionally, for us.
For instance, much disinformation has been purposely spewed forth about the JFK assassination, yet using Big Data Mining techniques and processes we were able to cast off much of the unverifiable stuff and focus on important linkage analysis, which yielded:
-----------------------------------------------------------------------------------------------------------------------
The following people belonged to the same FBI/SIS [Special Intelligence Service] unit operating in Central and South America during World War II:
Cartha DeLoach [on 11/22/63, senior FBI agent, soon to be assistant director who had a cousin who was a doctor at Parkland Hospital in Dallas;
William Harvey [on 11/22/63, chief of CIA station in Italy and creator of the CIA's assassination bureau. Cables indicating the approximate date and location of the planned assassination of President Kennedy were intercepted by Pfc. Eugene B. Dinkin - - sent from CIA Station/Italy to an OAS site - - OAS having been an fascist, rightwing paramilitary French gang who were anti-Kennedy.];
J. Gordon Shanklin [on 11/22/63, FBI/SAC in Dallas];
J. Walton Moore [on 11/22/63, CIA's man stationed in Dallas];
Guy Banister [on 11/22/63, CIA paymaster in New Orleans].
Their SIS headquarters was at the Rockefeller Center building in New York City, where they reported to the Coordinator of Inter-American Affairs, Nelson Rockefeller.
Rockefeller's administrator was George de Mohrenschildt.
[Now isn't that special . . . .]

r
rjamesevans
Feb 01, 2018

An extremely interesting read.

I suspect it would be extremely difficult to give a lay explanation of AI, machine learning and “Data Science”. Steve Lohr doesn’t even try but tells the story of Big Data by talking about significant people who hav been instrumental in it’s rapid development and describing how it has led to the revolution under way.

Not only did I learn a lot. I thouroughly enjoyed the read.

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