Stop Managing Alarms: An Incident-First Blueprint for Telecom AIOps

Telecom operations can move from managing countless alarms to an incident-centric service assurance model using AIOps. This approach combats alert fatigue by consolidating floods of symptoms into single, explainable incidents with an identified root cause. An "incident factory" architecture transforms raw telemetry through stages of normalization, noise reduction, and impact-based prioritization. The system uses a combination of machine learning, graph methods, and generative AI to generate ranked hypotheses for root cause analysis and guide response. This creates a structured decision system that can observe, automate, or escalate incidents based on their actual business and customer impact.