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From Detroit to Germany, Japan, and Korea, within the incumbent automotive industry there is amplifying conversation about the magnitude, extent and timing of the disruption that will result from the introduction of autonomous and driverless vehicles. This disruption will in turn result from innovations in technology and business models and changing attitudes toward car ownership. Catalyzed by the development of Autonomous, Connected and Electrified (ACE) vehicles and Mobility Services, the emerging hybrid mobility model will blend car ownership with on-demand car access. Big data generated inside and outside ACE vehicles and the exploitation of that data by machine intelligence technologies are key ingredients in this next generation of mobility. Together they offer a unique and still overlooked value creation opportunity. The book presents a strategy for capitalizing on the opportunities presented in our driverless future through the combination of startup innovations with corporate innovation efforts.
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978-0-9980677-0-4 (9780998067704)
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Evangelos Simoudis is a recognized expert on big data strategies and corporate innovation. He has been working in Silicon Valley for 25 years as a venture investor, entrepreneur, and corporate executive. Evangelos is the co-founder and Managing Director of Synapse Partners, a venture firm that invests in early stage startups developing big data applications, and an advisor to global corporations on big data strategies and Startup-Driven Innovation. He has also served as Managing Director at Trident Capital, and Partner at Apax Partners. In 2012 and 2014 he was named top investor in online advertising. Prior to his venture and advisory career Evangelos served as President and CEO of Customer Analytics, and as Vice President of Business Intelligence at IBM.
Evangelos serves on advisory boards for the Center for Information Science and Technology at Caltech, the International School of Business at Brandeis University, the Center for Urban Science and Progress at New York University, and the Autonomous Vehicle Task Force of SAFE. He earned a PhD in computer science from Brandeis University, and a BS in electrical engineering from Caltech.
