Explore how machine learning and artificial intelligence can revolutionize anti-money laundering efforts in this 34-minute conference talk by Mark Lokanan from Royal Roads University. Delivered as part of the Fields-CFI Workshop on the Mathematics and Statistics of Anti-Money Laundering, the presentation delves into cutting-edge automated techniques for detecting and preventing financial crimes. Gain insights into the latest technological advancements being applied to combat money laundering and enhance the efficiency of AML processes.
Using Machine Learning and AI to Automate Anti-Money Laundering Efforts
Overview
Syllabus
Using Machine Learning and AI to Automate Anti-Money Laundering Efforts
Taught by
Fields Institute
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Reviews
5.0 rating, based on 1 Class Central review
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Very helpful The Anti-Money Laundering (AML) course was comprehensive and well-structured, offering a deep dive into identifying and preventing financial crimes. It covered essential topics such as AML regulations, typologies, and risk management strategies. The real-world case studies and interactive modules made the learning experience engaging and practical. By the end, I felt confident in understanding compliance requirements and implementing effective AML measures in a professional setting. Overall, the course is highly recommended for anyone looking to enhance their knowledge and skills in financial crime prevention.
