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

Six in ten enterprises cannot automatically identify the root cause across AI infrastructure domains when AI workloads fail. You know, it might not just be a cost dynamic.

It goes beyond the title with direct discussion of know, think, it's, including: Why a root cause is so much harder in an AI factory than in traditional enterprise IT to discover?.

1. 01What you're saying, we're entering our phase where AI ROI will be judged, or AI will be judged less by model performance and more by operational efficiency, ergo cost
2. 02I'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 former
3. 03For 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