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

Recorded Webinar: Are you making the most of the business-critical structured data stored in your mainframes?

Fewer than 30% of companies think that they can fully tap into their mainframe data even though complete, accurate and real-time data is key to business decision-making, compliance, modernisation and innovation. For many in financial markets, integrating data across the enterprise and making it available and actionable to everyone who needs it is extremely difficult....

BLOG

Tracing Data’s Transformation is Key to Compliance and AI Effectiveness: Webinar Preview

Transparency and accuracy are characteristics of data that are equally important for financial institutions’ compliance processes and the rollout of artificial intelligence applications. Without those qualities, regulators will have little trust in the disclosures of firms’ compliance teams and any AI technology will be prone to misleading and potentially damaging outputs. To ensure these two...

EVENT

Eagle Alpha Alternative Data Conference, London, hosted by A-Team Group

Now in its 8th year, the Eagle Alpha Alternative Data Conference managed by A-Team Group, is the premier content forum and networking event for investment firms and hedge funds.

GUIDE

Regulatory Data Handbook 2025 – Thirteenth Edition

Welcome to the thirteenth edition of A-Team Group’s Regulatory Data Handbook, a unique and practical guide to capital markets regulation, regulatory change, and the data and data management requirements of compliance across Europe, the UK, US and Asia-Pacific. This year’s edition lands at a moment of accelerating regulatory divergence and intensifying data focused supervision. Inside,...