Despite what is often considered to be a conservative approach to business, IBM has no shortage of big thinkers who use their skills both internally and externally to influence the way the company thinks about technology and how it applies to business processes.
This week I met with Jeff Jonas, chief scientist, IBM Entity Analytics, to talk about how predictive analytics is moving into new realms of big data and how companies are using software to deal with the deluge of information.
Jonas joined IBM in 2005 when Big Blue acquired SRD, a company he founded to develop so-called extraordinary systems with specific data analysis tasks, such as facial recognition and analysis systems casinos use to catch cheating gamblers.
The main thrust of Jonas' research right now is trying to figure out ways to better take advantage of as much data as possible as fast as the transaction is happening--with an eye toward real-time predictive analytics. This is basically pattern detection in real-time, based on patterns that may or may not exist already.
Jonas explained that you may not know of a pattern, but you want to find one, and that many might be interesting but they don't always matter. In the casino example, bad guys are looking to perform channel separation by mixing and matching, people, places, and things, but the casino needs to do channel consolidation to aggregate information and determine an immediate course of action.… Read more