Fraudsters are using sophisticated tools, organized networks, and stolen data at scale—so how can insurers keep up? In this fast-paced introduction to AI and machine learning, Dan McKenzie breaks down how modern analytics can uncover fraud that traditional rules miss. Using a real-world case study of abnormal doctor billing behavior, this session shows how machine learning can detect hidden patterns, prioritize investigations, and quantify risk—even with limited data. Designed for business leaders and practitioners alike, this practical session cuts through the hype and explains what AI can actually do today. Grab a coffee and start your day with a fresh perspective on fraud detection.