Robert Grossman
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 financial services, insurance, risk modeling, direct marketing, online advertising, and defense.
More information about him is at the web site 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. He is also the Chair of the Open Cloud Consortium (OCC), a consortium that develops standards, interoperability frameworks, and infrastructure for cloud computing.
Before starting Magnify in 1996, Grossman led the National Scalable Cluster Project, a consortium of three universities and four industrial partners that pioneered the use of cluster and grid computing.
Grossman is also the Director of the Laboratory for Advanced Computing at the University of Illinois at Chicago (UIC), which he founded in 1998. The Laboratory is a 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 topics.
Grossman is a frequent speaker at conferences and trade shows. He has written over 100 papers and edited four books. He earned his A.B. in mathematics from Harvard University and his Ph.D. in mathematics from Princeton University.
- A new model consumer, Ruleset, has been added to the scoring engine.
- Details regarding the model specification can be found here.
- Optional garbage collection in the model consumer has been disabled, driving significant performance improvement.
- Improved data reads from Standard I/O
- Metadata collection improved.
Recent News
Summer Augustus Release
August 2010
Open Data released a new version, 0.4.2 of Augustus. It is written in python and is free and readily available at our project site. The latest version of our PMML compliant coring engine includes feature and performance enhancements.
At the project site you will also find a new regression tests. Regression tests are now easier to run and cover Augustus components, PMML models and statistical scenarios.
Robert Grossman featured on American Public Media
July 2010
Do you listen to NPR? Never mind, we already know. American Public Media reporter Stacey Vanek Smith explores just how much interested parties know about her, and how they know it. A two part series for Marketplace features Open Data Managing Partner, Robert Grossman as they discuss the digital footprint of “savvy single Stacey“.