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Robert Grossman is also the Founder and Managing Partner of Open Data Group. Open Data helps companies develop and improve their analytic strategies and provides outsourced analytic services so that companies can increase revenues, decrease costs, and improve business processes.
Grossman is also the Director of the National Center for Data Mining (NCDM) at the University of Illinois at Chicago (UIC), which he founded in 1998. The NCDM is an acknowledged leader in data mining, high performance networking, and internet technologies. He has led the development of new software tools for data warehousing, distributed computing and high performance networking. The NCDM hosts the working group that is developing the Predictive Model Markup Language, an open XML-based standard for data mining and statistical modeling. The NCDM also hosts the Teraflow Testbed, a wide area, high performance network that provides a platform for next generation applications in data mining, data intensive computing and e-science. Grossman currently holds a part time appointment at UIC where he teachers courses in data mining and related areas.
Prior to founding the Open Data Group, in 1996, he founded Magnify, Inc. Magnify provides data mining solutions to the insurance industry. Grossman was Magnify's CEO until 2001 and its Chairman until it was sold to ChoicePoint in 2005. In addition, he founded Magnify Research, which provides data mining solutions to the federal government. Magnify Research was sold to Baesch Computer Consulting in 2002, and is now part of Unisys.
He is a Member of the Board of Directors of the ACM Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) for the term 2005-2009.
Since 1998, Grossman has been the Chair of the Data Mining Group (DMG), an industry consortium responsible for the Predictive Model Markup Language (PMML), an XML language for data mining and predictive modeling.
Before starting Magnify in 1994, Grossman led two technology consortia. He was co-founder and co-director of the National Scalable Cluster Project, a consortium of three universities and four industrial partners that pioneered the use of cluster and grid computing. He was also co-founder and co-director of the PASS project, a consortium of two universities and three national laboratories that developed next-generation data warehousing and data mining technology for scientific data.
Grossman is a frequent speaker and often participates on panels at conferences and trade shows about data mining, business intelligence, knowledge discovery, data warehousing, e-business, and web and grid computing. He has written over 120 papers and edited four books on these and related subjects. He earned his A.B. degree in mathematics from Harvard University, Cambridge, Mass., and his doctorate in mathematics from Princeton University, Princeton, N.J.