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IBM Unveils Real-Time Software to Find Trends in Vast Data Sets


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Steve Mills and John Kelly of IBM Research

Steve Mills, left, and John Kelly of I.B.M. Research view new software that makes it possible to gather and analyze vast amounts of information at a record pace.

IBM

IBM has unveiled System S, stream processing software capable of receiving huge volumes of data from numerous sources and quickly identifying correlations within that data. Swedish Institute of Space Physics scientist Bo Thide has been testing an early version of the software in his effort to study how gas clouds and particles cast off by the sun can disrupt communication networks on Earth. System S enables Thide to gather and analyze massive amounts of information at unprecedented speeds. "For us, there is no chance in the world that you can think about storing data and analyzing it tomorrow," Thide says. "There is no tomorrow. We need a smart system that can give you hints about what is happening out there right now."

IBM believes that a commercial version of System S will encourage breakthroughs in fields such as finance and city management by helping users better understand data patterns. IBM's Steven A. Mills says System S could really benefit financial companies. Instead of creating separate large databases to track specific types of financial information, System S can meld all of the information together, and could theoretically add on databases that track current events to determine how such factors affect financial data.

From The New York Times
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Abstracts Copyright © 2009 Information Inc., Bethesda, Maryland, USA


 

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