10 ML Integration with Customer Screening

Oracle’s customer screening process generates alerts that indicate whether an entity or individual matches with an entity in any global sanctions lists.. The matches are dependent on the quality of input data and match configurations. However, the system typically generates a large volume of false positive alerts. To minimize the efforts of analysts, machine learning capability helps in the automatic disposition of events.

The Machine Learning (ML) integration with OFS customer Screening feature allows the user to enhance its compliance capabilities. ML models employ various techniques to aid the compliance users in adjudication of matches, reducing false positives, and enabling more efficient identification of potential risks. This integration allows organizations to streamline their compliance workflows, improve productivity, and maintain robust defenses against financial crimes. it enables compliance professionals to take quicker and accurate decisions.

This chapter provides step-by-step instructions to integrate ML with customer screening.