This session shows how organizations can move from experimental AI to production-ready fraud prevention by embedding machine learning models directly into real-time decisioning workflows. It highlights the shift from traditional rule-based systems to a hybrid model, where AI models generate probabilistic risk scores and business rules apply governance and final decisions. Using SAS Fraud Decisioning on Viya, organizations can integrate models, rules, and data into a single scalable platform that supports real-time decisions and regulatory compliance. The result is faster, more accurate fraud detection with improved customer experience and operational efficiency.
Presenter: Gareth Snook, SAS
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