Tuesday, July 22, 2014

Alpine Data Labs/Zementis Webinar - Breaking Down Barriers for Predictive Analytics

If you are interested in learning about how PMML, the Predictive Model Markup Language standard, is being used by Alpine Data Labs and Zementis to instantly move predictive analytic models from the scientist's desktop into the IT operational environment, be sure to join us for the upcoming Alpine Data Labs/Zementis webinar on July 30th, featuring Steven Hillion, CPO of Alpine Data Labs, and Michael Zeller, CEO of Zementis.

Register here!



This will be an engaging, fast-paced and informative presentation and discussion of the latest tools and trends in predictive analytics. The webinar will include a demo of the PMML capabilities in Alpine Data Labs Chorus 4.0 and instant deployment of predictive models via Zementis solutions.

Title:

Breaking Down Barriers for Predictive Analytics


When?

Wednesday, July 30 2014 at 1 pm ET / noon CT / 11 am MT / 10 am PT / 5 pm GMT

Register here!

Thursday, July 17, 2014

ADAPA with PMML 4.2 support now available on the AWS Marketplace

Zementis has been offering its ADAPA decision engine as a service on the Amazon Cloud for a few years now. With ADAPA on the Amazon Cloud, companies all over the world benefit from fast deployment and execution of predictive analytics via Web-services and PMML, the Predictive Model Markup Language. You can even launch your own ADAPA instance in the cloud through the AWS Marketplace with a single click.



ADAPA and its sister product, the Universal PMML Plug-in (UPPI) are PMML-based scoring engines. That is, they can consume predictive models built in any data mining tool as long as the model is represented in PMML, the Predictive Model Markup Language standard. PMML is supported by most commercial and open-source data mining tools, including FICO, IBM SPSS, KNIME, RapidMiner, R, SAS, and SAP. With PMML, one can simply move a predictive model from the scientist's desktop where it was built to the IT operational environment with no need for custom code.

Zementis was the first company to announce compatibility with PMML 4.2, the latest version of the PMML standard. PMML 4.2 introduces extensive text mining capabilities into the standard and now Zementis is bringing these exciting new PMML features to its AWS customers. Learn about all the new cool features introduced in PMML 4.2.

It is really super simple to deploy and score your models using ADAPA. And now, with PMML 4.2 support on the Amazon Cloud, predictive analytics as a service has just become amazingly powerful.

Visit the Zementis website for details





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