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Seasoned venture investor, senior advisor to global corporations, and a recognized thought leader in big data, digital platforms, and corporate innovation. Author of the book The Big Data Opportunity In Our Driverless Future. Founder and Managing Director of Synapse Partners, a firm that invests in early-stage companies developing applications that combine artificial intelligence with big data. Previously Managing Director with Trident Capital and Apax Partners. Prior to his investing and advisory work, Evangelos had more than 20 years experience in high-technology industries, in executive roles spanning operations, marketing, sales, and engineering. He was the CEO of two startups. He is a member of Caltech’s advisory board, the Advisory Board of Brandeis International School of Business, and the advisory board of Center for Urban Science and Progress. In 2014, he was named a Power Player in Digital Platforms. Evangelos earned a Ph.D. in computer science from Brandeis University and a B.S. in electrical engineering from Caltech.

One response to “The Automotive Industry’s Big Data Challenge (Part 1)”

  1. Drue Freeman

    Great perspective. I do believe most OEMS very much WANT to to do exactly these. I think they understand that in the future there will be big $ to be found in mining all the data coming from EAC + MS. They will have to deal with privacy concerns in a big way, especially in the US and Europe, and as you rightly point out, all this assumes they can figure out HOW to do this well.