Pharmaceutical counterfeiting is a global crisis with significant human and financial impact, requiring organizations to detect and disrupt increasingly sophisticated illicit trade networks. In this session, a healthcare data science team shares how they evolved from siloed analytics and dashboards to a unified, agentic AI-driven framework that integrates multimodal data—ranging from supply chain signals to computer vision insights. By combining predictive modeling, generative AI, and coordinated agents, the solution accelerates detection, improves signal confidence, and enables faster investigation of high-risk patterns. While still maturing, this approach demonstrates how advanced AI systems can transform how organizations protect patients, secure supply chains, and combat complex fraud ecosystems.
Presenter: Kevin Babyak
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