Databricks launches AI Coworker, an anti-fraud analyst that detects telecom fraud in real time on a single platform.

Databricks has launched AI Coworker, an anti-fraud analyst designed to detect fraud in real time across a single platform. The article notes that telecom fraud causes annual losses reaching $418.2 billion, while traditional detection still relies on overnight batch processing with signals scattered across six or seven systems including CDR, CRM, billing, and device/SIM data. The solution addresses cross-system correlation and batch processing delays by providing a unified, real-time, and governable data foundation.