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Want to learn practical approaches to apply artificial intelligence (AI) and machine learning (ML) to your anti-money laundering (AML) program? In this webinar recording, Catherine Lu from DataVisor and Keith Furst from Data Derivatives delved into real applications of how AI and ML help AML programs. They also demystified why traditional transaction monitoring system (TMS) are struggling to keep up, and the real strengths and limitations of AI and ML.
DataVisor is the leading fraud and risk management platform powered by transformational AI technology. Using proprietary machine learning algorithms, DataVisor restores trust in digital commerce by enabling organizations to proactively detect and act on fast-evolving fraud patterns, and prevent future attacks before they happen. Combining advanced analytics and an intelligence network of more than 4B global user accounts, DataVisor protects against financial losses and reputational damage across a variety of industries, including financial services, insurance, marketplaces, ecommerce, and internet platforms.