The leading knowledge platform for the financial technology industry
The leading knowledge platform for the financial technology industry

A-Team Insight Blogs

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

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.

Related content

WEBINAR

Recorded Webinar: Best practices for metadata management

Metadata has become central to financial firms as a means of enriching, discovering and effectively using both business and technical data. Its management is equally important, particularly in capital markets applications such as data lineage and data governance, which require a clear view of data and its provenance, and the ability to scale and support...

BLOG

Everything You Need to Know About How to Get Value from Unstructured Data

Unstructured data has huge potential to help financial institutions better understand their customers and markets, gain greater business insights, and develop revenue generating products. It also raises significant challenges, including managing vast volumes of data, sorting the wheat from the chaff, ensuring data quality and consistency, and protecting data privacy. Despite these challenges, firms are...

EVENT

Virtual Data Management Summit London (Redirected)

Now in its 8th year, the Data Management Summit (DMS) in London explores the shift to the new world where data is redefining the operating model and firms are seeking to unlock value via data transformation projects for enterprise gain and competitive edge.

GUIDE

ESG Handbook 2021

A-Team Group’s ESG Handbook 2021 is a ‘must read’ for all capital markets participants, data vendors and solutions providers involved in Environmental, Social and Governance (ESG) investing and product development. It includes extensive coverage of all elements of ESG, from an initial definition and why ESG is important, to existing and emerging regulations, data challenges...