Anomaly Detection

CETIN Case study

CETIN Slovakia transformed its telecom operations by using BitSwan to move from reactive troubleshooting to proactive, real-time monitoring. By processing massive volumes of network data from multiple vendors and technologies, BitSwan detects anomalies before users are affected, enables smarter alerting, and supports faster root cause analysis. With machine learning, feedback loops, and interactive dashboards, CETIN now resolves issues faster, plans more effectively, and lays the groundwork for a self-organizing, AI-driven network.