Keeping up with increasingly demanding Anti-Money Laundering (AML) focus areas like beneficial ownership changes, enhanced sanctions screenings requirements, increased fraud losses, and cryptocurrencies in 2023 will likely mean doing more with less and figuring out where and when is the best place to use technology to aid compliance, experts say. The Anti-Money Laundering (AML), Cyber, and Fraud landscape will face a significant change in operations due to a perfect storm of events, from a looming recession, AML teams tightening hiring and key people 'quiet quitting,' combined with the US government's Anti-Money Laundering Act ("AMLA"). The new world of eager fraudsters and real time anti-fraud technology has created both problems and solutions.
Join our panel of speakers from Microsoft and Expero in a discussion about how Cloud and new technology approaches that can radically cut cost and time to implement.
The focus of this webinar is to highlight Machine Learning, Visualizations, and Graph technology trends in 2023 that will increase the accuracy and output of systems, and how including the 'Human in the Loop' can get your teams ahead of potential gaps in your anti-fraud solutions and government AML legislation.
Challenges in 2023: discuss the AML process changes; new fraud threat vectors, impact areas of audit & compliance and what is to be expected in 2023
Technology Innovations: how new techonologies like Microsoft 365 technology, master data matching, graph analytics, and ML are assisting in the reduction of false positives and increasing accuracy
AML and Fraud Outlooks: discuss available resources and what anti-fraud practitioners are doing to create solutions for new processes and how they are using technology; process trends in how banks and other institutions are preparing for 2023
Empower the Investigator: 2023 capabilities in visualization technology and human processes that increase throughput and provide valuable human intelligence, creating quicker and more efficient outcomes for difference roles like Fraud Management, Investigators, and Data and Analytics teams
Rise of ML & AI with Explainable ML: how to implement practical uses and methods of fraud identification, complex dependency and case management with 'humans-in-the-loop' for higher accuracy and process streaming