The state of AI and machine learning adoption in anti-money laundering compliance
Artificial intelligence (AI) and machine learning (ML) have been touted as a means to improve the efficiency and effectiveness of traditional financial crimes compliance practices.
While fraud practitioners have utilized these technologies for decades, the anti-money laundering (AML) industry has been slow to change, plagued by high false positive rates and manual processes intended to meet the letter and spirit of regulatory expectations.
Download this report to learn more about:
- Increasing the quality of investigations and regulatory filings
- Reducing false positives and resulting operational costs
- Detecting complex risks by finding the patterns that traditional/manual transaction monitoring rules can’t