Financial crimes remain a major ongoing cost to businesses. Whether perpetrating credit card fraud and money laundering in the banking industry, or fraud, waste, and abuse in the healthcare field, financial criminals relentlessly devise new attacks that batter against old defenses and all too often slip past undetected.
Analytic techniques that leverage artificial intelligence can result in dramatic improvements in financial crime detection and interdiction across diverse attack modalities. But the deployment of AI models in highly regulated industries is fraught with challenges. AI predictions must comply with relevant regulation and must integrate with existing operational systems.
In this webcast you will learn: how AI has been effectively used to strengthen responses to criminal attacks, with examples from banking and healthcare; best practices for ensuring that AI models comply with relevant industry regulations; and approaches to integrating AI models with pre-existing analytics and rules platforms