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.