Janya Webinar: Addressing the Unstructured Component of Big Data

Addressing the Unstructured Component of Big Data

There is a growing recognition within government and commercial markets of the importance of extracting information locked away in unstructured data. In recent years, over $10 billion in government efforts have required some form of text analytics as a key component of the desired solution.  

The range of programs across the US Government include varied efforts such as financial fraud identification, epidemiological analysis, scientific and technical information gathering, human socio-cultural and behavioral modeling, command and control, and open source monitoring.
 
While retrieval, storage, and indexing the volume of Big Data are important challenges, that data remains of little value until you can understand and act upon it. An information enterprise also requires context and semantics for that data to be truly valuable. 
 
Join us to learn how Janya can help tame the Big Data problem through a range of domain and language-specific solutions based upon its flexible Semantex™ text analytics platform.
 
In this live webcast, presenters Dr. Rohini Srihari, Janya CEO and expert in information retrieval, and John Weaver, VP of Business Development at Janya will:

• Discuss the unstructured component of the Big Data problem and the role it plays in the government information enterprise

• Demonstrate several applications designed to empower information managers trying to tackle elements of the Big Data problem

• Discuss new state of the art technologies and tools Janya has developed to support user-driven customization of Semantex™, and interfaces for integration into analytical environments