Smart Systems in Business

Smart systems use historical data and data acquired continuously from multiple sources; they correlate this data and identify patterns that indicate important events; they predict probable futures; determine appropriate responses; and then respond. Smart systems help businesses by identifying and responding to changing situations rapidly and appropriately. This blog describes smart systems, its key foundational ideas, and their applications.

K. Mani Chandy

K. Mani Chandy is the Simon Ramo Professor at the California Institute of Technology in Pasadena, California. He received his B.Tech from IIT Madras in 1965, MS from the Polytechnic Institute of Brooklyn in 1966, and PhD at MIT in 1969. He worked at Honeywell and IBM, was a professor at the University of Texas at Austin from 1970 to 1987, and has been at Caltech since then. He developed commercial software for computer performance management for Boole and Babbage and he was a co-founder of a company, iSpheres, in the event detection space. Chandy has received numerous awards including the CMG Michelson, IEEE Kobayashi award, and several teaching awards. He is a member of the U.S. National Academy of Engineering. He has written four books on different aspects of computer science and he has edited several; his most recent book on Event Processing , coauthored with Roy Schulte appeared in October 2009. He does research on sense and response systems that acquire data from multiple sources, fuse the data, predict probable outcomes, and execute appropriate responses. View more

Subscribe

 Subscribe in a reader