Case Study: an international sports betting and gambling company achieves scalable behavioral intelligence and compliance with Persistent Systems on AWS

Developing an AI Model to Predict Addiction and Fraud Among 14 Million Online Players

The customer, an international sports betting and gambling company, faced a significant challenge in scaling its on-premises data systems to proactively identify player addiction and fraud for its 14 million users. With a fragmented, siloed data landscape, they struggled to build the necessary machine learning pipelines. They partnered with vendor Persistent Systems and migrated their operations to Amazon Web Services (AWS) to achieve the required scale and performance for their ML engines.

Persistent Systems implemented a cloud-native AWS data platform with automated pipelines to cleanse and validate data for ML models. They rewrote algorithms in Python and embedded new rules to detect behavioral anomalies. This solution provided the client with end-to-end visibility into player behavior, resulting in 0% downtime, improved regulatory compliance through automated reporting, and reduced revenue loss by proactively identifying fraud.