Artificial intelligence (AI) is rapidly transforming industries worldwide, and network management and monitoring is no exception.
AI is bringing a new level of automation and intelligence to NetOps, enabling teams to proactively identify and resolve issues before they impact users or business operations.
AI uses machine learning (ML) models to analyze network traffic and telemetry data from switching and routing hardware. ML models are trained on historical data to learn normal network behavior. Once trained, the models can be used to identify anomalies that may indicate problems such as performance bottlenecks, security threats, or configuration errors.
AI can also be used to automate routine tasks such as configuration validation, traffic rerouting, and root cause analysis. This can free up NetOps teams to focus on more strategic initiatives, such as planning and implementing new network technologies.
AI offers benefits like improved performance and reliability, reduced downtime, enhanced security, and reduced costs for network management and monitoring.
The sources for this piece include an article in NetworkComputing.