Discover how to enhance Anti-Money Laundering (AML) fraud detection using Azure Machine Learning in this 49-minute conference talk. Explore the AML domain and typical detection workflows before delving into machine learning algorithms that improve detection accuracy and prioritization of flagged activities. Learn to implement these enhancements using Azure Machine Learning, achieving both qualitative and quantitative improvements. Gain insights into applying similar machine learning approaches to other financial services areas, such as insurance claims fraud detection. Through demonstrations and practical examples, master techniques like data visualization, model training, experiment execution, and web service deployment to create more effective AML solutions.