About a-team Marketing Services
The knowledge platform for the financial technology industry
The knowledge platform for the financial technology industry

A-Team Insight Blogs

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

Subscribe to our newsletter

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.

Subscribe to our newsletter

Related content

WEBINAR

Upcoming Webinar: The ROI of Data Trust: Quantifying the Business Value of Data Observability

Date: 8 July 2026 Time: 10:00am ET / 3:00pm London / 4:00pm CET Duration: 50 minutes Data is the fuel that keeps modern financial institutions’ motors running but if that data can’t be trusted then the decisions made based upon it, or the uses to which its put, will be compromised. That’s especially important for...

BLOG

ThetaRay Extends Agentic AI into AML Investigations with Ray

As regulatory expectations around anti-money-laundering (AML) effectiveness continue to rise, many financial institutions are finding that the greatest operational pressure now sits in investigations rather than detection. While transaction monitoring models have advanced, the downstream work of reviewing alerts, assembling evidence and documenting decisions remains labour-intensive and difficult to standardise. ThetaRay is addressing this challenge...

EVENT

AI in Data Management Summit New York City

Following the success of the 15th Data Management Summit NYC, A-Team Group are excited to announce our new event: AI in Data Management Summit NYC!

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...