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Cognitive Business Assistant

Applies near-human logic and reasoning to assist research and decisions !​ Truly understands complex queries, leverages semantic information and then answers in natural language.

A Truly End-to-End Cognitive Assistant

A truly cognitive assistant must have two essential components – the ability to process unstructured information into semantic form (NLU), and to give a user cognitive access, via natural language query (NLQ), to this information. Deep understanding is required using knowledge-based AI, not just intent determination or statistical language analysis.

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  • The solution drills down into unstructured information and understands
  • Use of proprietary semantic methods, reasoning and logic.
  • Mimics an industry analyst compiling extracted semantic knowledge, assisting decision support​.

Solution Differentiators

Semantic Timeline​

The solution develops an interactive semantic representation of business events on a timeline.​
It applies entity extraction, pronoun replacement, inferencing and knowledge-references to Understand incoming unstructured information and merges it with available structured information​
An analyst can now interact with information synthesized across time and topics of interest​

Semantic Analysis Drilldown​

An analysis relies on the ability to establish relationships and possible reasons for an occurrence.​
The solution Understands context and meaning of incoming unstructured information, and stores it appropriately.​
The result is an ability to explore causal relationships via complex questions.​

Business Value

Deep insights based on semantic understanding​, lead to granular insights and lower risk​

Increase Revenue

Improve Productivity


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