Tag: ML

Digital tools are becoming indispensable for Anti-Money Laundering (AML) compliance across gatekeeper professions, including lawyers, accountants, real estate agents and trust and company service...

GenAI has become one of the most talked-about technologies of recent years, driven by its ability to handle tasks that once required specialist skills....

AI is transforming AML systems, redefining how financial institutions detect and prevent illicit transactions. With the United Nations estimating that up to $2tn is...

The rapid rise of artificial intelligence has brought new opportunities and challenges to the world of regulatory compliance and risk management. Shwetha Shantharam, AVP and...

Document classification has become a vital component of modern document management systems, evolving far beyond manual sorting or basic automation. At its core, document classification...

In today's rapidly evolving digital world, the fight against financial crime networks demands both vigilance and innovation.

Okredo, a Lithuanian company specializing in open data solutions, has successfully secured €1.2m from the EU. According to Finextra Research, this funding marks a...

Money laundering continues to pose a significant challenge in Asia, exacerbated by the diverse economic landscapes, fragmented regulatory frameworks, and intricate financial systems.

The financial services industry is undergoing a transformation driven by artificial intelligence (AI) technologies, particularly machine learning (ML). These advancements are significantly enhancing anti-money laundering (AML), counter-financing of terrorism (CFT), and sanctions screening as part of customer lifecycle management (CLM).

In the dynamic landscape of anti-money laundering (AML) efforts, financial institutions are facing intensified scrutiny to stay a step ahead of increasingly sophisticated criminal tactics and rigorous regulatory demands.