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

For as long as technology's been supporting critical business services, there's been a need to monitor that infrastructure to make sure it stays available and performant.

But interestingly, if you think about...

observability what really is its purpose its purpose is to identify threats and risks in real time um you know identify what the cause of those was and remedy those so as a consequence we've been building deep ai and ml capabilities

for over a decade.

So AI is not new to us.

It's really part of our core reason for being streaming in all of that event data in real time and doing the mapping and correlation needed to identify risks and threats.

What we've done more recently, of course, is lean in heavily to a lot of agentic capabilities to support automating a lot of these IT operations.

But the other thing that we've done is recognize that as companies scale out, you know,

Yes, the true industrialization of AI with massive AI data center investments that the market loves to call AI factories is build full end-to-end observability for the AI.

So what we've essentially done is taken an incredible legacy of observability and

fully embrace this whole AI era to support the companies as they scale up their AI investments.

Correct, Craig.

And what I'd say is if you think about

Any critical business service, let's call it a trading platform or internet banking is something that is core to any retail bank.

We all do most of our banking online these days.

In fact, I do most of mine on my mobile phone.

And what supports our ability to interact with our bank is a really complex system, if you like, of data and applications and networks and compute and storage infrastructure, some of it potentially in the cloud, some of it in legacy infrastructure, some on-prem.

And really, what observability needs to be is something that views the whole system.

Because I like to think about it as a system that's incredibly, in most cases, heterogeneous, in most cases, hybrid, which is the reality for most companies today.

And the ability to dynamically observe that whole system and manage that system is where our class of software sits.

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