A Big Data and Big Computer Approach to Smarter Agricultural Decisions
Chid Apte, Director, Mathematical Sciences and Analytics
IBM Research Division, Thomas J. Watson Research Center, New York
Friday, March 6, 2015
Brickyard (BYENG) 210, Tempe campus [map]
Data is transforming industries in unprecedented ways. This is a major area of focus in IBM Research. This talk will present an overview of IBM’s industry solutions research agenda and then discuss initiatives underway for one of the newest industries benefiting from this transformation, Agriculture. The confluence of large-scale remotely-sensed and locally-instrumented spatio-temporal data is driving advances in our capabilities to achieve new levels of efficiencies in agricultural productivity. Apte will discuss examples of such applications along with principles of the underlying big data and high performance computing methods. The problems being presented to us in this industry represent huge opportunities for Computer Science research and novel applications.
Chid Apte is Director of Mathematical Sciences and Analytics in the IBM Research Division, at the Thomas J. Watson Research Center in Yorktown Heights, New York. Chid has over twenty five year’s experience as a research scientist and technical leader in the data sciences industry with significant experience in predictive analytics solutions for insurance, finance, retail, manufacturing, healthcare, and agriculture. Chid has led several projects to develop capabilities for IBM’s Information & Analytics product portfolio and advanced analytics solutions for IBM’s clients. He received his Ph.D. in Computer Science from Rutgers University, and a B. Tech. in Electrical Engineering from the Indian Institute of Technology (Bombay).