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

because they're being asked to do a couple of things, support more and more complex services, AI being one of those things, with more and more complex infrastructure, with incredible resilience.

But they're also being asked to do that efficiently.

So, you know, I haven't met a CIO yet that hasn't told me that they've got pressure on cost and operating costs.

So it's like there's this duality that's kind of it's competing priorities.

And so if you're going to play a role in supporting enterprise resilience, you've got to play a role in making sure that you help competitors.

customers use their infrastructure efficiently.

So that whole area of understanding and managing control for a cost for both on-prem or physical infrastructure as well as cloud infrastructure is a core part of our solution.

The only thing that we don't include is the business metrics because we're not bankers.

We don't run insurance businesses or whatever, but we can provide all of the cost analysis and metrics that then get combined with the business metrics to determine return on investment and payback and the like.

Yeah, it's interesting.

And I think that what's happening, Craig, is the kind of gold rush to be in the AI investment cycle is overriding some of the good governance principles that companies have.

I think that we'll see the equilibrium come back.

And in fact, that's why we published the study to show that there is a delta between what the business executives think and what IT operators think.

There is a huge failure rate for AI workloads and that we didn't publish the findings to be naysayers around AI because we're not.

But what we are saying is, hey, as we make these investments, we've got to catch up with the governance.

I think we'll see that happen quickly, Craig, especially as people see the data and are confronted with the data and the reality of putting governance and controls in place, particularly as it relates to AI, is not only in the public interest, but it's in the business interest as well.

Yeah.

I think there are, again, a couple of elements to that, Craig.

The first thing that I'd say is that what we're seeing in terms of the AI data centers that are getting deployed is that they are leveraging, as companies architect these solutions, they're leveraging what they believe is the best solution for every layer of that stack.

So you end up with this heterogeneous environment of different providers providing components, if you like, of the AI factory that come together.

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