Sramana Mitra: Could you take us through a couple of use cases of how your customers use your product? John Plavan: The easiest one to explain is last winter, because it was such an extremely warm one. I think it was the warmest winter on record in the U.S.* Going into the winter, around October,
Entrepreneurs are invited to the 161st FREE online 1M/1M roundtable mentoring session on Thursday, February 14, 2013, at 8 a.m. PST/11 a.m. EST/9:30 p.m. India IST. If you are a serious entrepreneur, register to “pitch” and sell your business idea to Ms. Sramana Mitra. You’ll gain constructive feedback and she’ll answer any of your questions.
Sramana: Let’s touch on a few highlights of the Blackboard story. You started building pages for professors, and then other universities started contacting you. Did you finish college or did you drop out to do this? Daniel Cane: I didn’t drop out; I finished by the skin of my teeth! I graduated from Cornell with
Today’s roundtable was a joint session with Startup Weekend, Jacksonville, so we got a great glimpse of Florida entrepreneurs. Whata.tv First up, Jose Fermin from Jacksonville, Florida, pitched Whata.tv. Joe is Venezuelan, and misses television content from his country. His research says that he is not the only one. Not only do Venezuelan immigrants to
Sramana Mitra: In terms of the heuristics you use to make the correlations, what is involved in that? John Plavan: We use machine learning, generic algorithms, network techniques, and basic statistical techniques. It depends on the type of data and how we have quantified it. We use a rotated empirical orthogonal function to define an
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Sramana Mitra: Basically you work with the online budgets of these companies? There are obviously print, TV, and radio budgets that operate orthogonally from your budget. Those are areas that are still largely manual. Bill Simmons: That is true. SM: What about the big data problem in general? What other areas are you tracking that
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