Title: Leveraging Big Data
Date: Wed Jul 26, 2017
Time: 4:00 PM - 5:20 PM
Moderator: Jim Pollock
Field to Market
Paul Hishmeh (speaker)
Data & Technology Director
Field to Market
Washington, DC, NA
Paul leads the strategic direction for the development of the Fieldprint Platform, including integration into other farm management tools and software to support the scaling of Field to Market’s program. He possesses more than 15 years of experience in IT project management, most recently overseeing millions of dollars in federal government contracts for several agencies. Prior to joining Field to Market, Paul served as Vice President of IT and Financial Programs at Macfadden & Associates where he led and managed a group focused on delivering technology and financial services in the federal government space. Paul holds a B.S. in Agricultural Engineering from the University of Maryland.
Length (approx): 40 min
IBM PAIRS - A Big Physical Data Service to Accelerate Analytics and Discovery

IBM's Physical Analytics Integrated Data Repository and Services (PAIRS) is a geospatial Big Data service. PAIRS not only contains a massive amount of curated geospatial (or more precisely spatio-temporal) data from a large number of public and private data resources of satellite imagery, weather data, soil properties, and agricultural surveys etc., but also supports user contributed data layers. PAIRS offers an easy-to-use platform for both rapid assembly and retrieval of geospatial datasets or performing complex analytics, lowering time-to-discovery significantly by reducing the data curation and management burden. In this talk, we review recent progress with PAIRS and showcase its application agriculture through a few exemplary analytics.

Siyuan Lu (speaker)
Manager, Data Intensive Physical Analytics Group
IBM T. J. Watson Research Center
Yorktown Heights, NY 10598
Siyuan Lu is a Manager and Research Staff Member leading the Data Intensive Physical Analytics group at the IBM T. J. Watson Research Center, Yorktown Heights, NY. He received the Ph.D. degree in Physics from University of Southern California (USC) in 2006. Dr. Lu’s current research interests include architectures of geospatial data services and the union of physics and data-driven approaches for modeling complex systems with applications in renewable energy forecasting, climate forecasting, and environmental monitoring. He technically leads the Department of Energy funded project on solar energy forecasting and the development of IBM PAIRS geospatial Big Data services. He has co-authored over 40 peer-reviewed articles and has served as members on multiple governmental committees.
Length (approx): 40 min