Sunalini Sankhavaram
speaker
315 appearances
1 recordings
1 series
first heard Jul 2026
last heard 17 Jul
Sunalini Sankhavaram’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 1 in all, peaking in Jul 2026 with 1.
Appearances
It may not even be a Wi Fi problem, right?
But that being said, that Wi Fi sucks is what we are going after.
Before a user tells me Wi Fi sucks, I should already know.
The user's not happy.
The KPI of the network is knowing exactly what is going to make a user unhappy.
That's the journey we've been on for the last decade.
And that's where a fundamental aspect comes in of measuring efficacy.
When we came out with the service level experience metrics a decade ago when MIST was born back in 2016, Pop Friday, our CTO, when Sojay founded our CEO of MIST back then.
It was all about, no, why'd they leave their cushy jobs at at the big C company and start this this wireless company?
We didn't start a wireless company.
Their vision was to start a company that could s understand user experience and solve for user experiences.
And that's what led to starting from scratch a cloud architecture that could ingest elementary to understand and measure or good or bad experience.
Right.
Now when you understand a bad experience, you want to make sure it truly is a bad experience.
And that's where we then started the whole process of what we call AI-driven support.
If I am not helping my support team solve customer tickets, how am I going to help my customers solve network problems if if my support team can't use my product, if they can't do the intelligence I've built in my system to solve problems really quickly?
That fundamental organizational paradigm shift is what has built the efficacy for the last decade because every time an issue comes in,
The support team uses and we'll meet Marvus uh very quickly and as we go through a conversation, but the support team uses Marvus to answer that ticket and answer that question.
And they basically grade Marvus and have been grading it for the last ten years, every ticket, every hour, every day, every week on, yep, Marvus had the answer, Marvus had the data, Marvus had the data, but not the answer, or the data was not in Marvus, it was in the cloud.
That is the journey we've been on.
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