The rising tide of financial crime challenges organizations to modernize their anti-money laundering (AML) practices. Advanced analytics, machine learning, and generative AI offer exciting opportunities to move away from legacy rules-based approaches and enhance existing financial crime detection, streamline operations, and elevate effectiveness as well as efficiency. However, many firms are still navigating the complexities of leveraging these powerful technologies while also ensuring model risk governance. Our panel explores strategies for modernizing AML frameworks using AI and advanced analytics, emphasizing the critical role of transparent and explainable models. Learn how to unlock the full potential of your AML strategies while ensuring regulatory compliance and driving more informed, risk-based outcomes.