PODCAST: Industrial-Grade Reliability: Why Data Centers Are Rethinking Measurement Infrastructure

In this episode of the Data Center Frontier podcast, Matt Vincent Editor in Chief  speaks with Steve Grundmeier, VP of Data Centers at Emerson.
Listen on Apple buttonListen on Spotify buttonListen on iHeartRadio buttonListen on Podbean button

As data centers race to support AI workloads, liquid cooling, and accelerated construction timelines, operators are facing new challenges around reliability, efficiency, and infrastructure visibility. Many facilities still rely on commercial-grade instrumentation across critical cooling and utility systems, creating blind spots that can increase operational risk and reduce confidence in performance.

In this episode, we explore why leading operators are adopting industrial-grade instrumentation to gain more accurate insight into flow, temperature, pressure, and fluid quality across their facilities. The conversation covers the critical measurement points that impact uptime, how liquid cooling is changing infrastructure requirements, and the role measurement technology plays in helping operators commission faster, reduce risk, and confidently scale for future growth.

Listeners will walk away with practical guidance for evaluating instrumentation strategies, selecting technology partners, and preparing their facilities for the next generation of data center demands.

Sponsored by:

Sign up for our eNewsletters
Get the latest news and updates
Getty Images, courtesy of Schneider Electric
Source: Getty Images, courtesy of Schneider Electric
Mark Ortiz, Head of Segment Solution Consulting at Schneider Electric, explains why an energy park should be treated as long-term infrastructure, not just a temporary bridge to...
Nimbus Advanced Process Cooling
Source: Nimbus Advanced Process Cooling
Vamsi Krishna Mokkapati, Technical Director of R&D at Nimbus Advanced Process Cooling, explains why design-point water consumption should not be the only important specification...