Tag: Machine Learning

As financial institutions expand their use of artificial intelligence, a persistent question keeps resurfacing in anti-money laundering (AML) circles: does the requirement for explainability...

Financial institutions have long treated fraud and anti-money laundering (AML) as separate disciplines, run on separate timelines by separate teams. Fraud detection demands split-second...

Napier AI's Michael Joseph attended a recent ACAMS New Jersey chapter discussion on the shift from threshold-based transaction monitoring (TM) to AI-driven systems, alongside...

Key views on AI use case adoption across traditional FIs and FinTechs: The Cambridge Centre for Alternative Finance surveyed 203 FinTechs and 149 traditional...

Napier AI has weighed in on one of the thorniest debates in financial crime compliance: the gap between what artificial intelligence can theoretically do...

Insurers have invested heavily in customer data, segmentation and behavioural analytics to improve engagement. Yet many still struggle to turn those insights into personalised...

Building an AI-native foundation is only the beginning for compliance oversight; the harder battle is keeping machine learning models accurate, scalable and dependable over...

When alert queues grow faster than compliance teams can handle, genuine financial crime risk can vanish into the noise. According to ComplyAdvantage, the root...

Key views on Adoption of AI and Gen AI in asset management: Acuity Analytics surveyed 80 senior asset management representatives across the Americas, Europe...

Ortec Finance has been chosen by Ostrum Asset Management, an insurance and institutional investment specialist affiliated with Natixis Investment Managers, to strengthen the investment...