Chief compliance officers at financial institutions are eager to boost efficiency across their anti-money laundering programs by automating processes. Yet, they are constrained by ineffective risk scoring and the resulting high false positive rates; automated decisions are only as accurate as the data on which they are based.
In this webinar, experts from Oracle Financial Crime and Compliance Management and Quantifind, the leader in extracting risk scores from unstructured data, discuss how multi-dimensional risk scoring can increase efficiency and effective across anti-money laundering programs. They will explore:
- The challenges with current risk scoring approaches
- The technology and data behind multi-dimensional risk scoring
- How multi-dimensional risk scoring unlocks the potential of true automation
