Artificial Intelligence for IT Operations (AIOps)

An AIOps tool must provide Explainable ML. The models need to be easier to interpret, so users can trust the analysis and recommendations from the application.

Effective AIOps solutions require a large pool of anonymous network telemetry data to create effective ML models. Cloud-based network management captures data across the entire base of attached devices. This facilitates better analysis at multiple levels for identifying anomalies.

CoPilot analyzes data at multiple levels to establish a broader view of what is “normal”. It identifies trends and generates dynamic baselines, so it can apply a contextual approach to anomaly detection.

CoPilot facilitates network assurance by allowing network devices to be virtually staged (a digital copy/twin) and simulated before deploying them. This helps to reduce potential errors and risk.