Thomson
Reuters has enhanced its World-Check One platform with the launch of
Media Check, a unique media screening and processing feature powered
by artificial intelligence (AI) that helps address the regulatory and
reputational consequences of overlooking key data in the fight
against financial crime. Media Check’s machine learning capability
increases efficiency by filtering unstructured content from over
11,000 global print and web sources, giving financial institutions
more accurate and relevant data faster.
Thomson
Reuters is committed to innovative solutions to assist its customers
in the global fight against financial crime, and alleviate the
considerable challenges associated with risk screening.
“Institutions
need to digest an increasing amount of relevant information to help
prevent financial crime. The next-generation AI technology in Media
Check lets them navigate this crowded environment to help comply with
regulatory and other requirements and avoid the reputational risk of
missing critical information that could result in criminal activity,”
said Phil Cotter, Managing Director: Risk Segment, at Thomson
Reuters. “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 maximizing the efficiency of
their due-diligence processes."
World-Check
One’s Media Check has many benefits that include enhanced
compliance workflow, and the assurance that only relevant content is
presented to compliance professionals. This is achieved through
intelligent searching, a unique AML taxonomy informed by 15 years of
industry leading World-Check experience, and machine learning
algorithms honed by the World-Check research team. The result
is a reduction in false positives and improved content navigation
leading to better and more informed decision-making. Media Check also
provides continuous, up-to-date media and data monitoring.
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