Earlier this week, I read an article in a technology publication about several University of Washington professors who are launching a new course designed to overcome what they call “bulls**t in the age of big data.” The 160 seat seminar starts in late March and filled up in the first minute of online registration. The course covers the rush to apply machine learning algorithms to big data that is oftentimes corrupt and yielding less than accurate results. Beware of the overhyped big data and its potential for revolution, warned one of the professors.
Yesterday I posted a recent interview I did with a business development consultant, John Sydnor, who warned about the emerging challenge of ‘fake data.’
The throwback article for today I wrote on March 11, 2014 and in it I warn about questionable data (i.e. fake) and the failure by many Fortune 500 companies to exploit big data for competitive advantage (i.e. hype). I also give some advice for how to upgrade your big data inputs to get more strategic outputs and go from big data to knowledge.
CLICK HERE to read “Going Beyond Big Data To Knowledge.”
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Gary Drenik is CEO of Prosper Insights & Analytics, a company that prides itself on turning data into evidence-based solutions for the C-Suite. www.ProsperDiscovery.com