Tag: data quality

AML trends: The FinCrime Frontier 2025–26 report captured insights from 250 senior financial crime and compliance leaders across banking, insurance, and FinTech worldwide Nearly...

Financial crime risk assessments are often discussed as exercises in methodology: the right framework, the right scoring model, the right template. But the real...

Data now sits at the centre of how financial institutions operate. Every transaction, customer interaction, risk assessment and AI-driven decision relies on the quality...

Early insights from the 2026 Sanctions, Watchlist & PEP Screening Trends Survey are beginning to take shape, with 149 responses collected so far by...

The rapid adoption of AI across financial services has brought an old warning sharply back into focus: “garbage in/garbage out.” As organisations pour more...

The financial crime compliance sector is entering one of its most significant periods of change in over a decade. As regulators raise expectations and...

Artificial intelligence is rapidly reshaping how financial institutions manage regulatory change, but its success depends far less on the sophistication of the model and...

A new survey by Dun & Bradstreet has uncovered how financial services and insurance (FS&I) leaders are confronting rising threats and data challenges while pursuing AI...

In the battle against financial crime, technology like artificial intelligence (AI) and analytics often take centre stage. Yet, the effectiveness of any anti-money laundering...

As financial institutions move from experimentation to practical implementation of generative AI, a critical question emerges: how can this technology be responsibly integrated into financial crime compliance frameworks without creating new risks?