The ability to determine intelligent, meaningful characteristics about mobile users by extracting data is central to the value propositions for many mobile platforms and the growing number of apps they support. The availability of real-time data via advances in algorithm performance, geodata collection and remote device management begs the question: What is needed to synchronize, analyze and utilize mobile user profiles to build better solutions for businesses and consumers? What are the difficult technical problems yet to overcome?
This workshop will address the technical ramifications of location-based services unique to various mobile platforms, including Android, iPhone, and the mobile Web. Supported by experiences and actual use studies from developers, participants will be presented with tested methods to help them ensure that the functionality and management of their apps yields the most useful data to drive business value and sustain user relevance.
With over two decades of experience in the mobile market is an industry visionary and the chief of innovation at Location Labs –- he specializes in launching massively scalable software implementing advanced algorithms. Prior to Location Labs, he was a lead architect at Silicon Graphics, Inc. where he spearheaded numerous enhancements to the SGI Irix operating system.
Scott was also a lead architect at the United States Department of Defense, where he implemented data mining and machine learning algorithms in Internet security and traffic modeling applications.
He has published in a wide range of disciplines from discrete mathematics and elementary particle theory to analytical chemistry and geo-physics. He has also at worked at three Department of Energy National Laboratories, including the National Institute of Science and Technology and the Los Alamos National Laboratory.
Scott has a Ph.D. in Mathematical Physics from the University of California and lives in Berkeley with his wife, artist Marylin Hotes.
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