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Solutions for SAS Users - Zementis

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Zementis ADAPA for real-time scoring and UPPI for big data scoring provide additional value to all your predictive assets. Both solutions are complimentary to SAS and extend your modeling environment into the IT operational domain. ADAPA and UPPI are compatible with SAS due to their use of PMML, the Predictive Model Markup Language, which is the de facto standard for representing predictive models. PMML allows for models to be developed in one application and deployed within another, as long as both applications are PMML-compliant. Once a model built in SAS is saved as a PMML file, it can be directly deployed in ADAPA for real-time or batch scoring or in UPPI for scoring in-database or Hadoop.


Cloud Computing Services Providers Zementis

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With ADAPA in the Microsoft Cloud, you benefit from the power of Zementis' real-time PMML-based scoring engine and the trusted performance and reliability of Microsoft's Azure Cloud. This is the same engine that Zementis' customer use on-site. The only difference is that instead of installing ADAPA on your own servers, ADAPA in the Microsoft Cloud comes pre-installed on a virtual server in the cloud. We call this an "ADAPA instance". When an ADAPA instance is launched in the cloud, it is ready for your organization to use to support its predictive analytics needs.


Amazon Cloud Computing Services Zementis

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The ADAPA Scoring Engine is an extremely fast, standards-based deployment platform for predictive analytics. As a central solution for today's data-rich environments, it delivers precise insights into customer behavior and sensor information. ADAPA in the Amazon Cloud gives you the predictive modeling capabilities of ADAPA with the flexibility and scalability of cloud computing. With ADAPA in the Amazon Cloud Computing Services, you benefit from the power of Zementis' real-time PMML-based scoring engine and the trusted performance and reliability of Amazon's Elastic Compute Cloud (EC2). This is the same engine that Zementis' customers use on-site.


White Papers Archives - Zementis

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Zementis ADAPA is a standards-based predictive analytics scoring engine. It is predominantly used as an analytics platform for rapid operational deployment and execution of predictive models. In addition, the Zementis ADAPA scoring platform can add significant value as a general purpose analytics server for development and testing of machine learning models. In the context of the R data mining tool, this white paper will discuss how to leverage ADAPA as a development and testing framework in the data science team. ADAPA as an "R Server" is not limited by the size of the data and will take full advantage of available compute resources to provide high-performance analytics.


ADAPA Decision Engine on Microsoft Azure Marketplace

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With ADAPA in the Microsoft Cloud, you benefit from the power of Zementis' real-time PMML-based scoring engine and the trusted performance and reliability of Microsoft's Azure Cloud. This is the same engine that Zementis' customer use on-site. The only difference is that instead of installing ADAPA on your own servers, ADAPA in the Microsoft Cloud comes pre-installed on a virtual server in the cloud. We call this an "ADAPA instance". When an ADAPA instance is launched in the cloud, it is ready for your organization to use to support its predictive analytics needs.