CTS 093: DeMISTifying the Client Experience

Sudheer Matta, VP of Products, of Mist Systems joins the podcast to talk about how they are using machine learning and A.I. to build better wireless networks.

Service Level dashboards

Mist Systems

The intention of Mist is to add artificial intelligence and machine learning into the wireless networking stack. This provides a lot of insight into the Wi-Fi experience of a user.

Why do this now? Because there was no architecture for devops, programmability and automation for MSPs and for IT teams.

What is artificial intelligence (A.I.)?

A.I. at Mist is dynamically doing packet captures when an issue is occurring. It segments these problems and helps determine if a device is a victim of the problem or is it a systemic problem? Other things are identified as well such as, is it wired or wireless? If it is on wireless, what type of device is having an issue, what OS is it running, what channel is it on and on which AP, etc. For the wired side, some examples are is it DHCP, DNS, etc.

What about machine learning?

These insights are based on machine learning algorithms. It is about correlation intelligence. It is the foundation for A.I. driven insights. Machine learning comes in two flavors, supervised and unsupervised.

Mist has large clients utilizing their technology in the retail and education space. Within a matter of days both clients have been able to solve long outstanding issues that they weren’t able to successfully fix with their prior wireless vendor.

Even Managed Services can take advantage of Mist as they roll out wireless to multiple clients. You can see all service levels across the whole organization.

Listen to the episode to get the whole story!

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About the Author
Rowell, CWNE #210, is a network engineer in Higher-Ed. He enjoys working with wireless networking technologies and loves to share and engage with the community. You can connect with him on Twitter, LinkedIn, and Facebook.

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