Parking-spot real-time prediction at Parknav
Eyal Amir, Co-Founder CDO and CEO, Parknav; Data-science consultant; UIUC Adjunct Associate Professor in Computer ScienceAbstract: Finding parking is a known and painful problem for city drivers. Optimization and big-data based, Parknav is a server software and mobile application that helps drivers find available street parking 3x faster then traditional ‘hunting’ for a spot. It’s unique selling point is: city-wide coverage, 24/7, of all street parking, whether free, paid, or permit. Parknav scales to any number of cities in 3 months, and active users provide data maintenance. Cities are on boarded in weeks using partner’s data and data science. Its platform integrates garage and social parking on top of its street-parking prediction service.In this presentation I will talk about the data-science challenges at Parknav. Data sources, including data curation, data ecosystem, and the business behind obtaining data. Analytics and machine learning technologies used and developed in Parknav, as well as algorithms and technologies used off the shelf. I will describe a few places where data is presently available and is under-used in the data world.Bio:Eyal Amir is the co-Founding CEO and CDO of Parknav, a data-science consultant, and an Adjunct Associate Professor of Computer Science at the University of Illinois at Urbana-Champaign (UIUC). In Parknav Eyal leads the machine learning effort and the business efforts. In his consulting activities he helped companies such as Reflektion and 6Sense. His academic research focuses on AI, specifically computational reasoning, learning, and decision making. He received tenure and Associate Professor at UIUC in 2009, after joining UIUC in 2004. Prior to that he was a postdoctoral researcher at UC Berkeley, received his Ph.D. in Computer Science from Stanford University, and received B.Sc. and M.Sc. degrees in mathematics and computer science from Bar-Ilan University, Israel in 1992 and 1994, respectively. Eyal is a recipient of a number of awards for his academic research. Among those, he was chosen by IEEE as one of the "10 to watch in AI" (2006), received the CAREER Award from the National Science Foundation, and awarded the Arthur L. Samuel award for best Computer Science Ph.D. thesis (2001-2002) at Stanford University. He is the proud father of a 5-years old, and lives in San Francisco.