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

You're absolutely correct.

So you think of any system, you know, even for large retailers, some of their most important systems aren't just the customer facing systems, their website or their point of sale environment, but it's their whole distribution supply chain infrastructure as well.

All of the back office functions of a retailer are

The same with an airline.

Obviously, we experience the airline through baggage handling and ticketing and all of those things.

But there's all of the crew scheduling and flight scheduling and everything else that exists.

And the thing that obviously makes that even more complex is this world of remote and hybrid work.

So supporting huge remote and hybrid workforces is key as well.

So when we look at a large company, we're thinking about all of these critical systems that are key to the operation of the business.

And, you know, you think about, you know, healthcare companies, you know, the way we experience healthcare today, you know,

digital medicine and remote diagnostics and remote visits and all the rest of it.

It's wonderful as a consumer to be able to do that.

But the medical practitioners are consuming all of that as well as they're able to access your electronic health records and collaborate with other practitioners.

So it's being able to support all of that infrastructure for a big healthcare org or a big airline or a big bank.

That's where we sit.

Yeah, I think that's a great way of putting it, Craig.

I think we'd all agree that there's been a wild explosion of investment in AI infrastructure and AI data centers.

And even above and beyond these AI platforms that we're all very familiar with,

As we think more about large enterprises and governments adopting AI, the clear narrative is that most of this AI infrastructure or a lot of it is going to be built on-prem to support these huge AI use cases for these companies.

And what our study has found is that whilst companies are leaping into investing in AI data centers

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