Data Startup Showcase

As part of New York City Big Data Week, a startup showcase is being offered. It will consist of 14 startups. Each startup will get to give a quick demo/presentation. Then Tim O’Reilly and Fred Wilson will select 3 winners. Also, numerous investors and journalists will be present. A complete list of the startups presenting is available on the Startup Showcase page.

Which ones do you think will win?

Without seeing any of the presentations, here are my 3 picks.
This might be my darkhorse pick, but I think InfoActive has my vote. I also like Placed for location analytics, and TempoDB is very intriquing as it is simply a time-series database.

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3 Secrets for Aspiring Data Scientists | Software Advice

Michael Koploy wrote 3 Secrets for Aspiring Data Scientists about what it takes to enter a career as a data scientist. He lays out 3 steps:

  1. Sharpen Your Scientific Saw – Hone your math and science skills
  2. Learn the Language of Business – Data Scientists need to explain the data in business terms
  3. Keep Adding to Your Technical Toolbelt – Learn all the tools you can (NoSQL, Excel, Hadoop,…)

The article is a nice read. http://blog.softwareadvice.com/articles/bi/3-career-secrets-for-data-scientists-1101712/

Real-Time Machine Learning for Industry

Michael Cutler, cofounder of TUMRA, gave a nice talk to the University of Oxford Computer Science Department. The following quote from his talk sums up his idea.

Given a choice between a “best guess” now, and a “marginally better” answer later, I’d take the best guess every time.

Many times, academic people focus a lot of attention on improving the accuracy of an algorithm, when the resulting solution is too slow for industrial purposes.

reference: TUMRA Blog

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