Thomson Reuters Adds Machine Learning Media Check to World-Check One

Blog entry

Thomson Reuters has upped the fight against financial crime with the addition of Media Check to its World-Check One platform. Media Check provides media screening and processing powered by machine learning and delivering increased efficiency and accuracy by filtering unstructured content from over 11,000 global print and web sources.

Benefits of World-Check One’s Media Check include enhanced compliance workflow and assurance that only relevant content is presented to compliance professionals. This is achieved through intelligent searching, a unique Anti-Money Laundering taxonomy informed by 15 years of World-Check experience, and machine learning algorithms developed by the World-Check research team. The result is a reduction in false positives and improved content navigation for better and more informed decision making. Media Check also provides continuous, up-to-date media and data monitoring.

Phil Cotter, managing director, Risk Segment, Thomson Reuters, says: “Adding a machine learning dimension to our World-Check One platform gives clients an exceptional means to help pinpoint the most relevant media information, thereby maximising the efficiency of their due-diligence processes.”

World-Check One was introduced in 2014 as a screening solution and has since been enhanced, most recently in March 2018 with the addition of a Customer Risk Screener app that integrates World-Check data into the Salesforce AppExchange. Also released this year is a Watchlist Screening functionality that enables users to upload and manage internal and public third-party lists for screening alongside the World-Check data in one simple workflow.