By Steve Lohr
Steve Lohr, a know-how reporter for the New York Times, chronicles the increase of massive facts, addressing state-of-the-art company options and studying the darkish facet of a data-driven world.
Coal, iron ore, and oil have been the foremost efficient resources that fueled the commercial Revolution. this present day, information is the important uncooked fabric of the knowledge economic climate. The explosive abundance of this electronic asset, greater than doubling each years, is making a new global of chance and challenge.
Data-ism is ready this subsequent section, within which giant, Internet-scale facts units are used for discovery and prediction in nearly each box. it's a trip throughout this rising global with humans, illuminating narrative examples, and insights. It exhibits that, if exploited, this new revolution will switch the way in which judgements are made—relying extra on information and research, and no more on instinct and experience—and rework the character of management and management.
Lohr explains how contributors and associations might want to take advantage of, defend, and deal with their info to stick aggressive within the coming years. choked with wealthy examples and anecdotes of some of the ways that the increase of huge facts is affecting lifestyle it increases provocative questions about coverage and perform that experience vast implications for all of our lives.
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Additional info for Data-ism: The Revolution Transforming Decision Making, Consumer Behavior, and Almost Everything Else
The schism between scientific and “literary intellectuals,” he warned, threatened to stymie economic and social progress, if those in the humanities remained ignorant of the advances in science and their implications. The lecture was widely read in America, and among those influenced were two professors at Dartmouth College, John Kemeny and Thomas Kurtz. Kemeny, a mathematician and a former research assistant to Albert Einstein, would go on to become the president of Dartmouth. Kurtz was a young math professor in the early 1960s when he approached Kemeny with the idea of giving nearly all students at Dartmouth a taste of programming on a computer.
At Columbia, my workspace was in the career services office, and my thanks to the professionals there for kindly making the accommodation: Julie Hartenstein, Gina Boubion, Anusha Shrivastava, Izabela Rutkowski, and, earlier, Jacqueline DeLaFuente. This is a book of narrative nonfiction. So I am especially thankful to the people who agreed to be interviewed, and showed the patience for follow-up and fact-checking inquiries. At the top of the list is Jeffrey Hammerbacher, who gave the most in time, thoughts, and candor.
But Lenore recalled the warning from the preschool teacher that Jeff would have trouble all his life if he didn’t learn to cooperate and join in. It would be a recurrent theme over the years. Lenore had a little talk she used on him. People, she said, are good at different things. Math was easy for him, but others struggled with it. He had to work on cooperating and conforming to get along in life. “He never bought it,” Lenore recalls. ” Glenn and Lenore are informal, direct, no-nonsense Midwesterners—people of firm handshakes and straight talk.