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Entrigna’s Real-Time Expert System (RTES) is a platform for churning live-streams of data to extract real-time insights for actionable business decisions!!

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Entrigna developed a real-time decisions platform called RTES – Real-Time Expert System. RTES enables real-time decision capabilities by offering a full range of decision frameworks packaged in one technology that work together seamlessly; Rules Engine, Complex Event Processing, Machine Learning, Artificial Intelligence, Optimization, Clustering/Classification. Essentially, RTES platform exposes such decision frameworks as built-in modularized services that can be combined and applied on an organization’s business data on a real-time basis to identify intelligent patterns that can lead to real-time business insights. By packaging such decision capabilities in one technology, RTES enables seamless orchestration of higher-level decision services - meaning a hybrid decision service can be configured as a network of individual decision services, as in electrical circuit, in-series and in-parallel. Individual decision services can be rules-based, machine learning-based, classification-based, segmentation/clustering-based, predictive or regressive, real-time optimization-based.

To enable the derivation of intelligence, RTES makes it easy to combine different decision frameworks. For example, to implement a specific offer optimization requirement, RTES enables use of decision trees to determine customer value score, clustering to segment customers based on customer attributes, neural networks to assess purchase trends by customer segment, optimization to rank most-value-generating products, additional rules to further personalize offers to a specific customer and CEP to augment offers based on external events such as weather & national events - all of these orchestrated seamlessly within one single technology .i.e. RTES