Abstract
AI has moved from experiments to always-on systems that run core business operations. As adoption grows, one of the biggest challenges is no longer building models but running them reliably at scale. Data systems, cloud platforms, and production databases are now under constant pressure from machine-driven workloads, and many are not holding up.
In this 60-minute live roundtable, four practitioners will explore the current state of AI infrastructure, discussing how production AI systems are changing infrastructure design, what patterns are emerging, and where organizations are still unprepared.
How are teams identifying where their systems will fail before they actually do? What architectural decisions separate organizations that scale gracefully from those facing outages?
Join us for a conversation about what is working, what is breaking, and what engineering leaders need to rethink as AI becomes a permanent part of modern software systems.
