Creanord has launched its new Automated Recurring Anomaly Detection feature for the PULScore system. This powerful new functionality represents a significant step forward towards autonomous networks by automating the identification of infrequent anomalies caused by periodic congestion, hardware failures, and other network issues.
The Automated Recurring Anomaly Detection feature leverages advanced algorithms to proactively detect and highlight anomalies that happen repeatedly over time, even if they are rare or sporadic. This capability enables network operators to identify underlying issues that may otherwise remain undetected, resulting in improved network reliability and performance. By automating this analysis, the feature alleviates the workload on network operations teams, allowing them to focus on more strategic initiatives.
The key benefits of the Automated Recurring Anomaly Detection feature include:
- Proactive Problem Identification: Detects recurring anomalies before they escalate and cause widespread outages.
- Reduced Operational Costs: Automates anomaly detection, freeing up network operations teams for other tasks.
- Improved Network Reliability: Identifies and addresses underlying network issues, leading to increased uptime.
- Predictive Network Management: Enables proactive maintenance of the network.