Respect for UDM

Designed to extract high-value, hard-to-access text information about relationships between people, places and things, Attensity’s Relational Extraction Server 3.0 (RES) takes an unusual approach to unstructured data management and data analytics. The company says that unlike other data analytics solutions, which typically use a statistical method to analyze text, Attensity RES tackles the nuances, relationships and context of everyday language.

By analyzing the relationships between words, Attensity says, RES 3.0 delivers a rich and accurate picture of the data. The new version features a number of enhancements, including broader platform support, improved security and enhanced performance.

While other solutions simply associate unstructured content with a text field, the company claims, RES takes that data, extracts critical information from it and then combines it with structured information. That enables commercial enterprises and government organizations to respond quickly to critical issues and events based on knowledge gleaned from virtually all of their information, not just some of it.