WEBINAR: Predictive Analytics Deployment to Mainframe or Hadoop - 3 March 2016

Predictive Analytics Deployment to Mainframe or Hadoop

Thursday, March 3, 2016 7:00:00 PM GMT - 8:00:00 PM GMT

The big challenge for analytics-driven organizations today is closing the gap between deriving an analytic result and getting the ROI. Organizations need a consistent and efficient way to deploy analytic results into everything from systems of record like mainframes to modern big data infrastructure. 

Join James Taylor, CEO of Decision Management Solutions and Michael Zeller, CEO of Zementis, in this live webinar to learn how the Predictive Model Markup Language (PMML) provides an XML standard that streamlines the deployment of predictive analytic models. With PMML a model can be developed in one tool or language, whether open source like R or commercial predictive analytics products, and easily migrated to a wide range of operational systems including mainframes like IBM zSystems and new data infrastructure like Hadoop with Spark / Storm / Hive. 

You will learn:
• The challenges of an increasingly complex analytic environment.
• How analytics increase the value of legacy systems of record, mainframes and big data infrastructure.
• Why PMML is the critical glue between heterogeneous analytics environments.

The presenters will use case studies to outline this proven, standard-based approach to analytics deployment in today's complex predictive analytics environments.

All registrants will receive a copy of the new paper by James Taylor, "Standards-based Deployment of Predictive Analytics - Using a standards-based approach to deploy predictive analytics on operational systems from mainframes to Hadoop."

Register today! This is a live webinar with a Q&A following. If you would like to attend but can't make the webinar time, please register to receive a copy of the white paper, presentation and a link to the recording.

Presenters:

James Taylor and Michael Zeller



James Taylor is the CEO of Decision Management Solutions, experts in decision management and decision modeling. He provides strategic consulting, working with clients to adopt decision modeling, predictive analytics and business rules. James is the author of multiple books and articles and writes a regular blog at JT on EDM.  James is a contributor to the BABOK® Guide on decision modeling and is a co-submitter of the new Decision Model Notation (DMN) standard. 

Michael Zeller is the CEO and Co-Founder of Zementis. Mike has extensive experience in strategic implementation of technology, business process improvement and systems integration. He strives to provide customers with innovative business solutions tailored to their unique needs. He also serves on the Board of Directors of Tech San Diego and as Secretary/Treasurer on the Executive Committee of ACM SIGKDD, the premier international organization for data mining.

Register HERE