Friday, April 12, 2013

The Zementis Partnership with Infocom in Japan


It is our pleasure to announce a strategic partnership with Infocom. If you missed out on our press release, here is the headline:

Zementis and Infocom partner to deliver predictive analytic solutions in Japan.

Partnership

Dedicated to the Japanese market, Infocom combines strong expertise in data mining and predictive analytics with extensive delivery and consulting capabilities.

Zementis offers software solutions that enable scalable, real-time execution of predictive analytics across a variety of platforms based on the PMML standard. These include the ADAPA Scoring Engine available for on-site deployment or in the cloud, and UPPI, the Universal PMML Plug-in for in-database scoring and Hadoop (available for IBM Netezza, Teradata/Aster, EMC Greenplum, SAP Sybase IQ as well as Hadoop and Datameer).

Infocom will market, distribute and support Zementis's predictive analytics software in Japan.

To take a look at the press release, click HERE.

Additional Online Resources

Thursday, April 11, 2013

Predictive Model Markup Language (PMML) Workshop at KDD 2013 in Chicago

Please join us for a Predictive Model Markup Language (PMML) workshop at KDD 2013 in Chicago on August 11, 2013, to exchange exciting new developments, leading practices, and high impact applications in big data, knowledge discovery and data mining which utilize the PMML standard. 

The annual ACM SIGKDD conference on Knowledge Discovery and Data Mining (KDD) is the premier international forum for data mining and big data researchers and practitioners from academia, industry, and government to share their ideas, research results and experiences. We invite submission of papers describing implementations of the Predictive Model Markup Language (PMML). Submitted papers will go through a competitive peer review process. Please consult the workshop website for full details regarding paper preparation and submission guidelines. 

PMML workshop website 
http://kdd13pmml.wordpress.com/ 

KDD conference web site 
http://www.kdd.org/kdd2013/

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