Use Cases for Natural Language Processing, Machine Learning, Cognitive Search

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Today’s business users don’t search for documents that may have the information they seek buried within, instead they ask their systems for answers. This shift in attitude is a key driver behind the move to cognitive search. 

Any large enterprise is packed with disparate sources of data coming from any of a variety of different systems. Cognitive search is about creating connections between this data so that employees can get answers quickly, so they spend more time on core activities, and they make better informed decisions.  

From a business perspective, this means creating experiences that match how a user interacts with information.

Cognitive Search Webinar Details

Mike Gualtieri, VP & Principal Analyst at Forrester Research, will be the guest speaker in our webinar on Thursday, October 26: The Top 5 Use Cases for Cognitive Search. In this preview video, he outlined several business drivers for cognitive search, which is defined by Forrester as

“The new generation of enterprise search solutions that employ AI technologies such as natural language processing and machine learning to ingest, understand, organize, and query digital content from multiple data sources.”

To learn more about matching technology and business uses cases for cognitive search, register for the webinar with Forrester’s Mike Gualtieri.

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