GYAN™, which stands for knowledge in Sanskrit, signals the arrival of applied Big Data technology that will enable Real Time Intelligent Business Operations.
Much more than adding a layer of standalone "analytics on top", GYAN™ with its underlying RAGE Enterprise™ engine is set up to fundamentally transform Enterprise Operations by integrating structured and unstructured content, transactional and analytics functions, internal and external sources, in one integrated platform.
Highly contextualized analysis based on precision interpretation of millions of global events on a real time basis can be directly incorporated into operations in real time. For example, beyond one-time underwriting of a customer in a Commercial Lending process, GYAN™ credit risk monitoring can be turned on to continuously assess the impact of external events on the ever changing credit situation of the customer. In this example GYAN™ does the monitoring and the underlying RAGE Enterprise™ engine does the underwriting, blending external insights with internal operations in real time.
"We are pleased to formally launch GYAN after four years of rigorous validation with several highly successful, deep linguistics based, tractable/traceable, enterprise class semantic intelligence applications. GYAN does not rely at all on probabilistic machine learning but applies deep linguistic analysis at the complete document/discourse level [not just words or even sentences] to generate its insights and conclusions. Every component of the engine is a leader in its class. GYAN results are completely tractable/traceable so the user/analyst can precisely understand why the engine reached the conclusions it did. Experts can easily enrich GYAN's auto-discovered knowledge or interpretation with their knowledge. GYAN is seamlessly integrated with the other powerful knowledge-based components of the RAGE Platform to enable an easy and comprehensive implementation of enterprise class semantic intelligence applications that integrate with business operations. RAGE is a pioneer in combining Business Process Automation with applied Big Data," said Dr.
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