AI in network monitoring: catching anomalies early
By analysing the history of traffic, latency and signal power, AI builds a model of normal behaviour. Anything outside it triggers an early warning.
The key point
This can predict fibre degradation or device faults. To reduce false alarms, feed engineers’ responses back into the model.
This is a sample post, written to explain a general idea.
Editor
Chief editor and administrator of Global Desk.


