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Zementis – Cool Vendor in Data Science, 2014


Zementis, named by Gartner a Cool Vendor in Data Science, provides a scalable, standards-based platform to rapidly deploy and execute predictive models.



In the era of Big Data, customers increasingly recognize the value that predictive analytics offers to differentiate their business. Zementis provides a scalable, standards-based platform which supports the flexibility to rapidly deploy and execute predictive models across a wide range of hardware and software installations.

Zementis, Cool Vendor in Data Science 2014

Zementis products offer full support for the Predictive Model Markup Language (PMML). This is the standard format used by the data mining community to exchange predictive models between applications. Gartner recognizes the power of PMML by naming Zementis a cool vendor - read the report "Cool Vendors in Data Science 2014".

Zementis is founded on the principle that data science teams and IT departments can collaborate seamlessly and efficiently. By leveraging the PMML standard, Zementis allows predictive models to rapidly move from development to deployment, and execute in various environments that inherently support Big Data - from real-time scoring on the cloud to massively parallel scoring on premise, in database or in Hadoop.

To learn how data mining standards can transform your organization:

 


Zementis Zementis, Inc. is a leading software company focused on the operational deployment of predictive analytics and data mining solutions. Zementis was recognized by CIO Review as one of the "Top 20 most promising Big Data companies in 2013" and named "Cool Vendor in Data Science" by Gartner in 2014. Its ADAPA(R) 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 www.zementis.com

Gartner "Cool Vendors in Data Science, 2014" by Lisa Kart, Alexander Linden, Neil Chandler, Rita Sallam, 23 April 2014

Disclaimer: Gartner does not endorse any vendor, product or service depicted in our research publications, and does not advise technology users to select only those vendors with the highest ratings. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.

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