About this talk
This talk, led by Stefano Tempesta, focuses on the utilization of machine learning (ML) in anti-money laundering (AML) efforts within the financial services sector. It examines how traditional AML methods, which relied on risk tables for event scanning, have evolved through the adoption of ML techniques, allowing organizations to analyze diverse data sources and transaction data in real time. The session addresses both the technical design of an AML solution and the ethical considerations involved, including the potential bias in ML approaches that can affect minority groups. Attendees will gain insights into data extraction and ingestion from watch lists and multiple sources to enhance detection accuracy and minimize the incidence of false alerts, all while adhering to responsible AI principles.
