The “Red Pill” Realities of Anti-Money Laundering

Let’s put these numbers in perspective. 99% of laundered money is not caught. 90% of the resources spent catching suspicious actors are wasted. 100 % of US banks have known this for years. How did we get here? Modern technology, specifically data analytics, is well-suited to address this problem. Why hasn’t this problem been solved? […]

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About Shirish Netke

Shirish has worked with Fortune Global 1000 companies in 35 countries to solve problems related to business process and technology. His recent work focuses on business oversight, compliance and process automation based on emerging technologies including AI/machine learning. He has closely worked on operational risk management for banks related to BSA/AML/CFT compliance using self-learning models for anomaly detection and business process improvement. Shirish has extensive leadership experience in running high-growth businesses with general management responsibilities.

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