Integrating Machine Assistance into the Analyst’s Workflow

Overview

With an ever-increasing landscape of data, analysts require advanced capabilities to sift swiftly through large volumes of incoming data in near real-time. During this briefing we will discuss a successful approach to integrating artificial intelligence and natural language processing (NLP) into a user workflow to increase relevant search results for the analyst. Paramount to the success of this project is the integration of NLP in the data transformation stage coupled with an enhanced user interface. This design approach encourages wide-scale adoption, allowing exploitation of NLP enrichments without requiring advanced user training. I will conclude with a live demonstration of the proof of concept for this AI-integrated workflow.