News

  • Data Science and Prediction
    July 18, 2012 , Center for Digital Economy Research (CeDER)

    The use of the term “Data Science” is becoming increasingly common along with “Big Data.” What does Data Science mean? Is there something unique about it? What skills should a “data scientist” possess to be productive in the emerging digital age characterized by a deluge of data?

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  • Deep Blue Analytics Takes Businesses Across Oceans of Data
    July 2, 2012 , Killer Startups

    We all produce a tremendous amount of data, and our appetite for tweets, likes, shares, you name it, only suggests exponential growth. Businesses looking for a competitive edge in today’s tight markets are taking an ever more keen interest in gleaning an advantage from all the available data. That’s where other companies like Deep Blue Analytics (DBA) come in.

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  • Get Paid For Your Data on Facebook
    June 11, 2012 , Wired.com

    As the dust settles around the Facebook IPO, the important question becomes not what went wrong, but rather, how will Facebook create value to justify its lofty valuation? Internet platform businesses can scale very rapidly because adding customers is virtually costless. While there are several possible business models for Facebook to create value, each with its potential risk and reward, I propose that Facebook create the world’s first information market.

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  • Deep Blue Analytics Announces Launch of AmplifyD
    December 28, 2011 , PR Web

    Deep Blue Analytics is pleased to announce the public availability of AmplifyD, its proprietary analytics platform designed to develop and manage predictive and prescriptive analytics for data intensive business problems. AmplifyD fills the gaps created by industry leading analytics tools and platforms such as SAS and SPSS and is a great fit in circumstances where the time lag between prediction and action should be extremely minimal.

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Media

  • Watch Deep Blue Analytics Senior Advisor, Vasant Dhar, making an appearance on CNBC’s Squawk Box to discuss the ideas of turning Facebook into an “Information Market” where users receive monetary compensation for their

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