6 in 10 Enterprises Can't Find the Root Cause When Their AI Workloads Fail | Paul Appleby, Virtana

Six and ten enterprises cannot automatically identify the root cause across AI infrastructure domains when AI workloads fail. Why root cause is so much harder in an AI factory than in traditional operational efficiency, ergo, cost. And business impact. You know, it might not just be a cost dynamic. The kind of gold rush to be in the AI investment cycle is overriding some of the good governance principles that companies have. We'll see the equilibrium come back. So let's start by having you introduce yourself to listeners. Thanks, Craig. Yeah. I'm Paul Appleby, the CEO of Vertana, and we're a company that exists really for for one really important purpose where, you know, companies across many industries, whether it's banking, telecommunications, health care, retail, airlines, whatever, are so reliant on their technology. In fact, you know, a lot of chief risk officers say that the single biggest point of catastrophic risk of failure for a business now is their technology and infrastructure. Vitan is in the world of trying to protect that. We live in this this world called observability, and that's all about business resilience, and operational efficiency. How do we make sure those services that are critical to your business and your customers stay performant and available? And even more relevant in this era of accelerated AI adoption, of course. Yeah. And how long have you been with Vertana, and and what was your background before coming? I've been here now for a couple of years. Inherited, an amazing business that, in the past, in fact, under, its prior name of Virtual Instruments, was run by John Thompson, the the former chairman of Microsoft. So the company's been around for some time and has, an amazing history with its core technology. But I came to the company two years ago, with a charter from the board to really lean into this this world of, you know, the broad digitization of services and the scale out adoption of AI. Prior to that, I'd I've been working in technology for years, sometimes in startups because I love, you know, that whole idea of the scale up. But sometimes in much larger companies, you know, trend, through through phases of transformation and growth like Salesforce, where, where I was for a number of years, and also, companies like Elasticsearch, more recently as their president. So I've got a a long background in in enterprise software and enterprise technology, and growth and and scale of businesses. Yeah. In Verintana, we were talking before we started recording is an observability platform Yes. For for, large scale operations or tech technology, operations, not necessarily AI. I mean, it it existed before the the the generative AI boom. Is that right? Yeah. I I think it's a a couple of really important things to say. I mean, this class of software, Craig's been around for a long time. For as long as as, you know, technology's been supporting critical business services, there's been a …