Enterprise networks are becoming larger and more complex, with hundreds or even thousands of access points, switches, users and sites generating data every day. Managing this infrastructure is no longer simply about knowing whether the network is up or down.

IT teams need to understand what is happening across the network, how it is affecting users, and how issues can be identified and resolved quickly.

In this episode, we explore how AI is changing enterprise network management and how IO Canvas, HFCL’s AI-powered unified network management platform, brings network infrastructure and user experience visibility together on a single platform.

The conversation looks at how AI can help enterprises move from reactive troubleshooting to proactive monitoring, root-cause analysis and actionable recommendations — and where the industry is heading as networks become increasingly automated and autonomous.

• How IO Canvas provides centralized visibility and management across access points, switches, sites and users
• How AI can proactively identify network and user-experience issues instead of waiting for users to report them
• How root-cause analysis and actionable recommendations can help IT teams troubleshoot issues faster
• Why understanding user experience is as important as monitoring network infrastructure
• How remote diagnostics such as AP snapshots, packet captures and debug information can simplify troubleshooting across distributed environments
• How AI can help networks move from monitoring and understanding to recommendation and automation
• What the future of enterprise networking could look like as capabilities such as dynamic channel selection, adaptive power control and intelligent client steering become increasingly automated

Tune in to explore how AI is helping enterprises move from managing individual network devices to managing the overall network experience — and towards a more proactive and autonomous network.