The benefits and challenges of AI network monitoring

Artificial intelligence as part of network infrastructure monitoring has been a popular topic for several years. But only recently has the development of AI network monitoring made it practical to deploy in production networks on a broader scale. With AI network monitoring, the main objectives are to sustain optimal service levels, gain accurate insight into potential infrastructure issues and get that data before business and network operations are affected. To help with this process, machine learning -- a type of AI -- applies algorithms to telemetry and other data streams to gauge a baseline for normal operations. Once the AI network monitoring service establishes that baseline, it can then look for deviations that might indicate a potential infrastructure problem.