Eye on A.I. · Wednesday, July 15, 2026
A new study by Virtana reveals that 60% of enterprises cannot automatically identify the root cause when their AI workloads fail. This lack of observability makes it difficult to implement effective remediation, leading to a high percentage of AI workloads failing.
“Six and ten. Enterprises cannot automatically identify the root cross across AI infrastructure domains when AI workloads fail.”
“Why a root cause is so much harder in an AI factory than in traditional enterprise IT to discover.”
“Now, that problem with that, of course, is if you don't know what causality is, you can't take remediation.”