Real-life use-case examples show where big data is headed

In two weeks, Gigaom brings its big data conference, Structure Data, back to New York City in a big way. Growth in the big data industry has moved beyond infrastructure to include intelligent data applications and products built on robust platforms with algorithms producing remarkable results. For many industries, this use of big data is not only useful, it has become vital to transforming everyday life.

Structure Data brings in not only major players like Cloudera, AWS and Google but also speakers from companies that we use everyday—adding a lively use-case component to the program. We’re excited to hear from the University of Chicago Crime Lab on how they’re using big data to predict social behavior, how Hampton Creek is categorizing naturally occurring plant substances to help combat future climate change impacts on agriculture, and how Spotify is building predictive analytics based on use of its services.

And that’s not all. Here’s a look at what else to expect at this year’s Structure Data:

  • How big data analytics is changing everything from the NFL to swimming with Krish Dasgupta, VP Data Platforms and Technology at ESPN and Bill Squadron, Executive VP, Pro Analytics at STATS
  • We’ll cover privacy and security with Julie Brill, Commissioner at the Federal Trade Commission.
  • Google Glass may be over, but hardware is alive and well. We’ll sit down with Naveen Rao, CEO at Nervana Systems and Anthony Lewis, Senior Director of Technology at Qualcomm, to talk about how hardware is getting smarter.
  • In a three-part series, we’ll explore data through diet, disease and healthcare with Dan Zigmond, VP of Data at Hampton Creek, Ahna Girshick, Senior Data Scientist at Enlitic and Steven Horng, Instructor of Medicine at Harvard Medical School.
  • Not to mention BuzzFeed, Twitter, Goldman Sachs, Hortonworks, Yahoo!, GE, IBM, NASA, and more (yes, there’s a lot more: check out the full schedule and speaker list).

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Structure Data is March 18th & 19th. Learn more at