Prior to 2018, regulators resisted recommending the use of Machine Learning (ML) based Artificial Intelligence (AI) for AML compliance. There was a mindset shift in mid 2018 indicating that proceeding ...
We have been asked to explain the differences between rules-engines and machine learning for anti-money laundering/banking secrecy act applications on numerous occasions. This question typically ...
New Anti-Money Laundering (AML) Solutions Help Financial Services Companies Screen Applicants to Mitigate Risk of Regulatory Penalties and Reputational Damage ...
Researchers have developed the first computer machine-learning model to accurately predict which patients diagnosed with acute myelogenous leukemia, or AML, will go into remission following treatment ...
HOBOKEN, N.J.--(BUSINESS WIRE)--NICE Actimize, a NICE (NASDAQ: NICE) business, has been named a leader in Aite-Novarica Group’s “2021 Aite Matrix: Leading Fraud & AML Machine Learning Platforms" ...
A recent report released by the Hong Kong Monetary Authority (HKMA) has outlined various case studies and insights from banking institutions that have implemented different technologies to improve the ...
What sets SAS apart as the best-in-class leader in Aite's #fraud and #AML machine learning platforms matrix? Find out. Aite-Novarica Group is renowned for its vast expertise across all subsectors of ...
As part of @Nasdaq’s Singapore Fintech Festival coverage, Darren Innes, Head of AML Technology at Nasdaq, spoke about why advanced machine technology matters to the operation of FCC teams, the ...
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