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Make Data Work
Oct 15–17, 2014 • New York, NY

Geo local conference sessions

Bradley Voytek (UC San Diego )
Uber has created an AI city simulation framework to optimize its dispatching system, minimize user wait times, and maximize driver partner earnings. Based on agent-based and swarm intelligence models, this framework generates plausible optimizations across many interacting, dynamic, non-linear parameters on a city-by-city basis.
Mansour Raad (ESRI)
GeoSpatial BigData and types are special "animals" when it comes to storage, discovery and processing. This session will explore the various non-traditional ways to stream, extract, batch and visualize GeoSpatial Information for deeper geo-insight, such as "Where are the 3 nearest facilities to each of my customers based on current traffic conditions...nationwide ?"