Robert Grossman
     

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Robert Grossman is the Founder and Managing Partner of Open Data Group.

He has over twenty years of experience developing predictive analytics for a variety of applications, including applications in banking, insurance, direct marketing, online advertising, and defense.

More information about him is at the web site www.rgrossman.com.

Prior to founding Open Data Group, he founded Magnify. Magnify's software, services and hosted solutions provide highly scalable data mining to clients in financial services, insurance, and related markets. Grossman was the CEO of Magnify from 1996-2001 and its chairman until it was sold to ChoicePoint in 2005.

Grossman is the Chair for the Data Mining Group (DMG), an industry consortium responsible for the Predictive Model Markup Language (PMML), an XML language for data mining and statistical modeling.

Before starting Magnify in 1996, 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.

Grossman is also the Director of the National Center for Data Mining at the University of Illinois at Chicago (UIC), which he founded in 1998. The Center is an acknowledged leader in data mining, high performance networking, and grid technologies. He led the development of new open source software tools for distributed data mining, data warehousing, distributed computing and high performance networking; introduced standards in data mining; and ran a testbed for a next generation internet. Grossman currently holds a part time appointment at UIC where he teachers courses in data mining and related topcis.

Grossman is a frequent speaker at conferences and trade shows about data mining, direct marketing, business intelligence, e-business, risk management, data warehousing, knowledge discovery and grid computing. He has written over 100 papers and edited four books on these subjects. He earned his A.B. in mathematics from Harvard University and his Ph.D. in mathematics from Princeton University.