2026 Event Schedule

Data center electrical infrastructure is facing significant challenges with the rapid rise of AI workloads and increasing rack power densities pushing power systems harder than ever. At the same time, the demand for skilled electrical engineers far outpaces the available supply, creating a growing gap in expertise.

Traditional monitoring methods and manual fault detection are no longer sufficient in this environment, putting data centers at risk for costly downtime. Many facilities are finding it difficult to maintain the speed and coverage necessary to detect and fix issues promptly.

This session will explore how AI agents, designed as autonomous electrical engineers, continuously analyze synchronized, high-frequency waveform data to detect, diagnose, and resolve faults in real time.

Attendees will learn how these always-on AI agents serve as powerful allies for existing teams, helping to speed up fault detection and automate resolution. Through real-world case studies, this session will demonstrate how data centers can bridge the engineering skills gap and build greater operational resilience today, and prepare for the increased complexity of tomorrow.