Every enterprise has a version of the same story: the AI initiative that got funded, the pilot that never scaled, and the infrastructure that turned out to be the actual bottleneck.
Addison Snell of Intersect360 Research has observed that the stereotypical enterprise AI use case is more idealized than representative. Most organizations are dealing with something more complicated than the showcase examples. In this session, Snell brings data on where enterprises actually are in their AI journey: what's stalled, what's working, and what the fastest-moving teams have in common.
Gregory Kurtzer, founder of Rocky Linux and CEO of CIQ, brings 25 years of experience building infrastructure that handles exactly this kind of operational complexity, from national labs and HPC clusters to the AI workloads those same environments now run. He'll show how Fuzzball eliminates the specialized operational expertise that has historically made AI infrastructure inaccessible, and how sovereign AI becomes achievable when the orchestration layer handles the hard parts.
Together, they'll cover what the data shows about enterprise AI adoption, where organizations consistently get stuck, which problems are fastest to solve, and how intelligent infrastructure abstraction changes what's possible.
