Read "Driving the acceptance of AI for financial crime prevention" to learn how to:

• Generate stakeholder buy-in from the start
• Document decisions and testing throughout the model development process to satisfy regulatory examination and committee reviews
• Keep model validation up-to-date and understand why staying current is important
• Continuously monitor AI models for a detailed understanding of estimations and metrics

Between regulatory, operational and financial crime challenges, firms can’t afford to launch haphazard AI modeling. You’ll need to leverage the right tech and approach to improve performance and efficiency.