Machine Learning for Transaction Monitoring in the Anti-Money Laundering Framework: Challenges and Opportunities

Explore the challenges and opportunities of applying machine learning to transaction monitoring within the anti-money laundering framework in this 50-minute conference talk by Uyen Trang Nguyen from York University. Delve into the complexities of using advanced algorithms to detect suspicious financial activities and enhance compliance efforts. Gain insights into the potential of AI-driven solutions to revolutionize the fight against money laundering while understanding the obstacles that need to be overcome. Learn about cutting-edge techniques, regulatory considerations, and the future landscape of AML technology in this presentation, part of the Complex Networks series at the Fields Institute.