Case Study: an international sports betting and gambling company improves compliance and curbs fraud with Persistent Systems' AWS-native MLOps framework

Creating a program to detect potential gambling addiction and fraud for the world’s largest sports betting and internet gaming operator

The client, an international sports betting and gambling company, faced the challenge of scaling its machine learning capabilities to proactively identify addiction and fraud across its 14 million players. With a fragmented, on-premises data infrastructure, the company needed to migrate to the cloud to gain the necessary performance and scalability, turning to vendor Persistent Systems for their expertise in AWS and data engineering.

Persistent Systems implemented an AWS-native MLOps platform, augmenting the client's ML models and creating streamlined data pipelines. This solution provided real-time behavioral insights, improved regulatory compliance through automated reporting, and reduced revenue loss by identifying fraud. The new scalable platform achieved 0% downtime and freed up the client's analysts to focus on innovation.