By Bismark SAKYIThe promise of artificial intelligence (AI) and machine learning (ML) to revolutionise anti-money laundering (AML) programmes has dominated headlines in recent years.From reducing ...

Overall we believe that a 50% reduction in the cost of AML analysis is a realistic objective using machine learning, due a substantial reduction in compliance workload. Rules-Engines Pros and Cons ...

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 ...

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 ...

Federated learning can also help reduce the costs of AML compliance, which are massively high, and increasing. An estimate published in 2018 in the Journal of Financial Crime showed that the direct ...

UBS is banking on machine learning to solve its know-your-customer (KYC) problem and is undertaking a project to use the technology to match information and find anomalies in customer information..