Zementis Announces Its Participation at DEMO Enterprise 2014 Conference

Delivering Real-time Predictive Analytics Leveraging SAP HANA® and Allowing Customers to Make Data-Driven Decisions

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"We are excited to partner with SAP, one of the world¹s leading enterprisesoftware companies, in our mission to transform predictivesolutions into dynamic assets."

San Diego, CA (PRWEB) April 03, 2014

Zementis, a provider of standards-based predictive analytics solutions, today announced its participation in the DEMO Enterprise 2014 conference being held April 3 at the Mission Bay Conference Center in San Francisco. The Zementis solution will be featured in the SAP® Startup Focus Pavilion at the conference. Zementis has also been invited to participate in a private breakfast session with the DEMO CIO Council, an exclusive community of enterprise CIOs who engage with emerging technology companies before, during and after they launch. In the session, Zementis is one of 20 startups that have been selected to present their solutions and receive strategic feedback from the council. The session is a unique opportunity for Zementis to connect with the buyer side of the enterprise computing industry and to receive feedback from the DEMO CIO Council on the company’s venture and product development strategies.

Zementis was founded on the principle to enable data science teams and IT departments to collaborate seamlessly, with predictive models moving rapidly from development to deployment. This allows businesses and other data-centric organizations to easily incorporate predictive analytics into their day-to-day operations. Agile deployment of predictive solutions is the cornerstone of the Zementis philosophy. Core solutions include ADAPA®, a decision engine for predictive analytics, and UPPI, a universal plug-in utility for industry-leading analytics and data warehouse platforms.

The SAP HANA® platform enables businesses to make smarter, faster decisions through real-time analysis and reporting combined with dramatically accelerated business processes. Zementis developed ADAPA to run on the SAP HANA platform and deliver real-time scoring for millions of transactional records while significantly reducing the cost and complexity of model deployment with Predictive Model Markup Language (PMML). As a cross-industry platform, ADAPA helps clients to extract business value from real-time data and transform it into actionable insights.

"With a focus on rapid deployment and integration of predictive algorithms through open standards, ADAPA embraces the real-time scoring paradigm," said Dr. Michael Zeller, CEO of Zementis. "Organizations increasingly recognize the value that predictive analytics can bring to their business. We are excited to partner with SAP, one of the world’s leading enterprise software companies, in our mission to transform predictive solutions into dynamic assets and enable customers to take advantage of smart, real-time decisions in their day-to-day operations as part of their overall decision management strategy."

Zementis is participating in the SAP Startup Focus program, which supports startups in developing new applications on SAP HANA. The SAP HANA platform streamlines analytics, planning and predictive and sentiment assessments to allow business to operate in real time. The SAP Startup Focus program is an accelerator for big data, predictive and real-time analytics startups. More than 1,000 startups are participating in the program to date that have developed distinct SAP HANA-based use cases from gaming to retail to finance and manufacturing.

About Zementis
Zementis, Inc. is a leading software company focused on the operational deployment of predictive analytics and was recognized by CIO Review as one of the "Top 20 most promising Big Data companies in 2013." Its ADAPA® and Universal PMML plug-in scoring engines are designed from the ground up to benefit from open standards and to significantly shorten the time-to-market for predictive analytics in any industry. For more information, please visit http://www.zementis.com.

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