Mycom introduces AInsights fault-correlation capability

Mycom introduced a capability in its AInsights application to detect correlations among network faults, a change intended to help communications service providers reduce alarm volume and prioritize operational issues.

The company said the capability helped communications service providers identify relationships between fault events and supported a move from reactive to predictive operations by providing AI-based predictive insights for performance and Root Cause Analysis (RCA) as they expanded 5G and FTTx networks.

The enhancement applied Machine Learning (ML) for event correlation to analyze historical network events, uncover hidden patterns, identify relationships among events, and determine root causes, supplementing AInsights functions for performance forecasting, anomaly detection, and pattern detection for RCA.

Mycom added the event-correlation feature into the AInsights application to correlate faults between network elements in real time, detect hidden fault patterns within high volumes of alarms, and align those outputs with existing forecasting and anomaly-detection capabilities.

“We are delighted to enhance AInsights with this new capability to support CSPs in identifying fault correlations,” said Mounir Ladki, Co-founder, President and CTO at Mycom. “With this, networks with high volumes of alarms can reduce alarm noise and prioritize the most business impacting issues to optimize costs and reduce downtime in their networks.”

Mycom provided contact details and links in the release for discussions and further information about its service assurance and AInsights offerings.