StrategyBRIX’s Post

It starts with labeling, not models. Before algorithms. Before feature engineering. Before tuning. If your labels are inconsistent, your model will fail. In this short read, Managing Director Jim Prevot breaks down why data labeling is the foundation of any successful AML machine learning initiative. #AntiMoneyLaundering #AML #MachineLearning #AIinCompliance #FinancialCrime #TransactionMonitoring #DataQuality #ModelRiskManagement #ComplianceLeadership #RegTech

View profile for Jim Prevot

Planning to implement Machine Learning for Transaction Monitoring this year? 🚩 Start with your labeling, not the algorithm. In my latest piece, I explain why data labeling is the real secret sauce behind successful AML ML models. We spend a lot of time debating supervised vs. unsupervised, but forget that the model’s foundation is entirely based on historical investigations output. If you want a strong engine, start with high-quality fuel. 🚀 The labeling journey starts now. Get in contact if you'd like advice to getting started. #AntiMoneyLaundering #AI #DataIntegrity #ComplianceOfficer #FinancialCrime StrategyBRIX

To view or add a comment, sign in

Explore content categories