ScaleOut Software Joins Digital Twin Consortium to Share Streaming Analytics Expertise
Summary
The company’s “real-time digital twin” software architecture for streaming analytics across industries provides more informed decision making in the moment for applications that track thousands of data sources. Real-time digital twins create a “model” of each individual data source as they track the specific characteristics relevant for the goals of streaming analytics, such as detecting anomalous conditions or predicting failures. This generalization of the modeling concept allows digital twins to analyze not only physical devices but also a wide array of data sources that would not be typically considered, such as ecommerce shoppers for a recommendation system. When run on a scalable, in-memory computing platform, real-time digital twins dramatically increase the amount of analysis that can be performed as telemetry arrives, and they avoid the delays incurred by offline, big-data analytics. ScaleOut Software’s in-memory computing platform enables operational intelligence by storing, updating, and analyzing fast-changing, live data so that businesses can capture perishable opportunities before the moment is lost.
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