Case Study: AT&T reduces fraud by 80% with Databricks

AT&T cuts fraud attacks by 80% with Databricks

AT&T, a major communications company, faced significant challenges in proactively protecting its 182 million wireless customers from fraud using a legacy on-premises data architecture. Their rule-based systems were reactive, inefficient, and struggled to handle the scale and sophistication of modern fraud attempts like robocalls and identity theft. To transform their approach, they turned to the Databricks Data Intelligence Platform.

By migrating to the Databricks Data Intelligence Platform and leveraging Delta Lake, AT&T unified its data and AI workloads in the cloud. Databricks enabled them to build over 100 machine learning models for real-time fraud detection, replacing their old rules-based system. This solution allowed AT&T to decrease fraud attacks by 80%, saving millions of dollars in potential fraud costs and empowering employees with real-time alerts.

AT&T