As AI infrastructure becomes increasingly dense, interconnected and operationally complex, success depends on moving beyond managing individual components to taking a holistic, lifecycle approach to infrastructure operations. This series explores how operators can improve resilience through system-level design, predictive operational intelligence and effective thermal management. From using analytics to anticipate issues before they impact performance, and maintaining the long-term health of liquid-cooled environments, the discussions will examine the operational strategies that enable AI infrastructure to remain reliable, efficient and adaptable as workloads continue to evolve.