James Taylor (@jamet123) is remarkable in capturing the nuances and mood of the data analytics and decision management industry and community.
PMML and our Universal Plug-in can easily take care of that. In turn, this enables an analyst to reduce the time to insight required in most businesses today." Zementis is a proud contributor to the PMML package which was featured on an article we wrote for The R Journal (to download article, click HERE). James Taylor (@jamet123) is remarkable in capturing the nuances and mood of the data analytics and decision management industry and community. Real-time or big data scoring made easy with R, PMML, and Zementis.
4 May 2010 The PMML upload uses the Zementis PMM Converter to normalize the rule sets specified are executed and the results are downloaded as a 30 Jun 2014 PMML, Ensembles and KNIME are three hot topics, each one including Zementis, SAS, IBM, and of course KNIME, which oversees the PMML has become the imperative for companies wanting to extract value and insight from Big Data. In the Big Data era, the agile deployment of predictive models is imperative. Building on the heritage of its Adapa Decision Engine, Zementis launched the Universal PMML Plug-in (UPPI), a highly optimized, in-database scoring engine for predictive models, fully supporting the PMML standard. PMML and our Universal Plug-in can easily take care of that.
But, when combined with in-database scoring, they take a new and powerful meaning. It is then no wonder that Zementis is thrilled to announce its partnership with Teradata, a global leader in data warehousing and analytics. knime_beginners_luck_3.5_052818_sample.pdf - Free download as PDF File (.pdf), Text File (.txt) or view presentation slides online. James Taylor, CEO of Decision Management Solutions, and Dr. Alex Guazzelli, VP Analytics at Zementis, recently presented a webinar focusing on decision management and predictive analytics deployment, real-time use, and integration. In-database scoring is one of the most straightforward ways to gain insights from Big Data. It is no surprise then that the Zementis Universal PMML Plug-in (UPPI) is now being offered for a variety of database platforms. Zementis also offers in-database scoring via its Universal PMML Plug-in, which is also available for Hadoop. In this way, a process that could take 6 months, now takes minutes. And, whenever represented in PMML, it could be easily understood. Given that PMML is XML-based, it contains a verbose but accurate representation of all model details. If you are interested in contributing code for the package, please contact us.
James Taylor, CEO of Decision Management Solutions, and Dr. Alex Guazzelli, VP Analytics at Zementis, recently presented a webinar focusing on decision management and predictive analytics deployment, real-time use, and integration. In-database scoring is one of the most straightforward ways to gain insights from Big Data. It is no surprise then that the Zementis Universal PMML Plug-in (UPPI) is now being offered for a variety of database platforms. Zementis also offers in-database scoring via its Universal PMML Plug-in, which is also available for Hadoop. In this way, a process that could take 6 months, now takes minutes. And, whenever represented in PMML, it could be easily understood. Given that PMML is XML-based, it contains a verbose but accurate representation of all model details. If you are interested in contributing code for the package, please contact us. These include the Adapa Decisioning Engine and the Universal PMML Plug-in. Besides providing a predictive analytics engine, Adapa also encapsulates a rules engine which allows for predictive models to be seamlessly integrated with business…
3 Nov 2011 In-database Scoring with PMML, Zementis, and Sybase IQ: Big Data PMML Plug-in for Sybase IQ, contact Zementis, or download the product
