Today I am happy to share a significant step forward for Open Data Group. Stu Bailey and Pete Foley will join ODG as CTO and CEO respectively. I will continue as Chairman and will also assume the role of Chief Data Scientist.
I have known Stu for more than 20 years. We worked together on data intensive computing at the National Center for Data Mining (NCDM) at the University of Illinois at Chicago for six years. In 1996, Stu left the NCDM and founded Infoblox. Stu was the CTO of Infoblox and guided it from a startup until it went public in 2012. I was a board member of Infoblox for several years, and have known Pete since 2002 when he became the CEO of Infoblox.
Open Data began operations in 2002, and ever since then has been providing analytic services to its clients that use machine learning and statistical algorithms to build analytic models over big data. Many of Open Data’s customers used an open source Python based application developed by Open Data called Augustus to build and deploy their analytic models. Augustus is compliant with the Predictive Model Markup Language (PMML), which is a vendor neutral standard for exporting and importing analytic models.
Over time, we realized that the data scientists could benefit from a new language for exporting and importing analytic models. For the last couple of years, we have been working to develop a language that supports: exporting and importing of analytic models, compositions of analytic models, user defined functions, and all the data pre- and post-processing required by data scientists. The new language is called the Portable Format for Analytics (PFA). PFA is JSON-based and designed for today’s big data and fast data environments. See www.dmg.org/pfa.
Over the past couple of years, Open Data has pivoted from a company focused on analytic services to a company with a complete offering that also includes products that can be integrated into a client IT infrastructure, and then import PFA models as needed. With this approach, Open Data today is focused on the infrastructure required for analytic operations, so that enterprises can quickly deploy analytic models into products, services and internal operations. This shortens the time required to get business value from data and maximizes data science ROI. We still provide analytic services based on over 14 years of experience, but these days we are just as likely to be helping clients deploy their analytic models, as we are to be building them.
Please join me in welcoming Pete and Stu. Their addition to our team starts the next chapter in Open Data Group’s history.
Written by Robert Grossman