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A few trends emerged in more than 30 talks at this year’s GigaOM Structure:Data conference in New York on March 20-21. The big one: people play a crucial part in the big data equation.
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It all starts with a human question. Before machines generate answers, employees from many departments should feel empowered to ask good questions of data, said John Sotham, vice president of finance at BuildDirect.
Beyond questions, humans need to decide which algorithms to employ and which data to use to answer questions, said Scott Brave, founder and chief technology officer of Baynote.
In data science, machine use algorithms to make decisions with clean data for the sake of prediction and optimization, said Sean Gurley, chief technology officer of Quid. But in “data intelligence,” humans “create, change and shape the world we’re in” using small sets of messy data, he explained.
Have a look at another excellent insight from reference author and researcher Pierre Levy.