AML Innovators: Unsupervised Machine Learning - ThetaRay - Mark Sully and Yaron Hazan (UK/Israel, recorded on 7 April 2020)

ThetaRay - Mark Sully and Yaron Hazan discuss with Marie and Sam the use of unsupervised machine learning and AI to detect patterns of illicit activity, detecting unexpected activity related to terrorist financing, illegal gambling networks and working on the Russian laundromat case.

Om Podcasten

This podcast was inspired by the evolving Covid-19 restrictions and how it has impacted compliance professionals working in financial crime prevention. Reaching out to individuals across the globe, hosts Samantha Sheen and Marie Lundberg look at how people are adjusting to remote working from home while still keeping up efforts to detect, prevent and disrupt financial crime. The topics covered range from governance, KYC, transaction monitoring to cyber security and accountability.Taking a plain speaking approach, Marie and Sam analyse notable cases involving financial crime, epic “compliance fails” and lessons learnt along the way. And to help fellow compliance professionals keep on top of their CPD, case studies with illustrative slides are also included – a bit like story time for adults – so enjoy.