With an ever increasing regulatory demand for broader AML coverage through increased deployment of scenarios, financial institutions are faced with the choice of continuing to throw bodies at unproductive alerts or improve their use of analytics to remove the noise produced by today’s AML models. Machine learning can and should be used to remove the noise and allow your human intelligence to focus on higher value more productive issues. Some techniques to be discussed include:

• Advanced analytics in customer segmentation
• Reconsidering the sole reliance on inherent risk - including transactional risk
• Working alerts based upon presumed productivity
• Robotic process automation.