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Global transaction volumes are rising, and it’s becoming a challenge for financial institutions (FIs) to rely on traditional filtering systems to screen transactions against sanction lists. A significant portion of alerts are false positives, and this increases the operational overhead for FIs, who run the risk of missing genuine alerts as they review multiple sanction hits. Although FIs have implemented solutions to automate the false positive reduction process, these are mostly rule-based and do not scale well.

Join a fireside chat with our AI experts sharing how they helped some of the largest financial institutions automate their sanction screening with AI.

We will discuss:

• How to build a deep learning engine which detects and learns false positive patterns in transaction screening
• The solution approach to building an intelligent transaction screening process
• Ways to address regulatory and compliance concerns while automating an anti-money laundering process
• Best practices to develop a robust AI solution in a banking environment