While attending the Business Rules Forum 2008 in Orlando, it was apparent that many of the rules engine vendors have discovered the value of predictive analytics and consider supporting the Predictive Model Markup Language (PMML) standard. As part of the Enterprise Decision Management track of the conference, Zementis presented on open source, open standards, and cloud computing under the title of Agile Deployment of Predictive Analytics Using Amazon EC2.
The synergies of rules and predictive models form the foundation for an Enterprise Decision Management strategy. While rules describe explicit knowledge, predictive analytics leverages implicit knowledge that is embedded in your data.
At Zementis, we have long combined rules and predictive models for better decisions. Our ADAPA decision engine is available as an Enterprise Edition which seamlessly integrates the Drools rules engine. If you are already using Drools, you can effectively deploy predictive models in your business process with minimal effort.
Even if you are using a rules engine from Ilog, Corticon, or another rules engine vendor, ADAPA provides an easy, SOA-based integration via web services. Predictive analytics does not have to be complex or costly to deploy, if you follow open standards and leverage best-of-breed solutions.
Want to learn more about combining rules and predictive analytics? Please contact us!
Comprehensive blog featuring topics related to predictive analytics with an emphasis on open standards, Predictive Model Markup Language (PMML), cloud computing, as well as the deployment and integration of predictive models in any business process.
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