Paul Appleby

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246 appearances 1 recordings 1 series first heard Jul 2026 last heard 15 Jul

Paul Appleby’s voice in public audio — every appearance, attributed to the second.

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Eye On A.I. · 6 in 10 Enterprises Can't Find the Root Cause When Their AI Workloads Fail | Paul Appleby, Virtana · 15 Jul 2026 podcast

So how do you make sure you're maximizing utilization and throughput to get great ROI?

And then the final thing is we're all aware of the massive energy consumption and environmental implications of AI data centers.

So if we're actually operating them efficiently, we can actually

significantly reduce the energy requirements and ultimately the footprint and impact that AI data centers have.

So it's really at multiple levels that we need to be thinking about this whole system.

And unfortunately, right now, Craig, what exists for many companies is, you know,

bits of telemetry out of each level of the stack that they're trying to stitch together to identify, hey, what's really going on and how do we actually better manage this environment?

And that's not the answer.

Well, they're not just holding their breath.

There's clearly data coming from certain elements of that AI factory stack.

And what it's left to is that the IT professionals whose job is to run and operate these data centers to try and stitch that data together.

That's why when you have a service failure or service disruption, you end up with a group of people.

Historically, it would have been physically in a NOC, but now it's a combination of people in the NOC and a bunch of people on a call like this trying to work out.

What the hell is the problem and how do we fix it?

And it's trying to stitch together all of this data.

Now, that's the reality for most companies today.

In fact, they've got four or five, sometimes six different sources of data that they're somehow trying to weave together.

And I think the clear message moving forward as we think about

critical services at scale in this AI world is that you need visibility into the full system.

You have to be capturing rich telemetry and doing that dynamic mapping and correlation in real time to be able to really truly govern these systems.

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