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How Big Data is Placing People in Jobs

By   /  April 29, 2013  /  No Comments

giby Angela Guess

Matt Richtel of The New York Times recently discussed how some companies are using Big Data to find talent in unlikely places. He writes, “When the e-mail came out of the blue last summer, offering a shot as a programmer at a San Francisco start-up, Jade Dominguez, 26, was living off credit card debt in a rental in South Pasadena, Calif., while he taught himself programming. He had been an average student in high school and hadn’t bothered with college, but someone, somewhere out there in the cloud, thought that he might be brilliant, or at least a diamond in the rough. ‘The traditional markers people use for hiring can be wrong, profoundly wrong,’ says Vivienne Ming, the chief scientist at Gild since late last year.”

Richtel continues, “That someone was Luca Bonmassar. He had discovered Mr. Dominguez by using a technology that raises important questions about how people are recruited and hired, and whether great talent is being overlooked along the way. The concept is to focus less than recruiters might on traditional talent markers — a degree from M.I.T., a previous job at Google, a recommendation from a friend or colleague — and more on simple notions: How well does the person perform? What can the person do? And can it be quantified? The technology is the product of Gild, the 18-month-old start-up company of which Mr. Bonmassar is a co-founder. His is one of a handful of young businesses aiming to automate the discovery of talented programmers — a group that is in enormous demand. These efforts fall in the category of Big Data, using computers to gather and crunch all kinds of information to perform many tasks, whether recommending books, putting targeted ads onto Web sites or predicting health care outcomes or stock prices.”

Read more here.

photo credit: Gild

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