What are the benefits and challenges of AI network monitoring?

In a time where end users have little tolerance for downtime or subpar performance, keeping network operations running at an optimal level is essential. Outages are not only costly from a productivity perspective, but they can also expose an enterprise to security risks. Maintaining peak service levels in increasingly complex, highly distributed and virtualized enterprises requires effective network monitoring. But the capture of performance data from the physical layer to the application layer can be a complicated process hampered by a lack of visibility into end-to-end network activity. While many organizations are benefiting from advances in network monitoring, fueled in part by AI network monitoring, most organizations are still relying on outdated tools.