Steve Spinazzola

Director, Inventor at Shumate Engineering

The Impact of AI on the Design of Data Centers

Wednesday, March 11th at 9:30 AM

This session explores how the rise of AI workloads is transforming data center design and operations. It explains how AI data centers differ from traditional facilities by operating at significantly higher power densities per cabinet, driving the need for new cooling strategies. The session highlights why direct liquid cooling, emergency power systems and advanced temperature control infrastructure have become critical components of modern data center design and examines the new challenges these shifts create for cooling performance and overall reliability.

Darryl Benson

Director of Development, entroCIM at Wesco

Sarah Monteleone

Enterprise Account Manager - IoT & Platform - entroCIM at Wesco

Achieve Greater Control of Your Distributed Digital Infrastructure

Wednesday, March 11th at 4:40 PM

This session explains how combining IT and OT systems, along with IoT devices, helps manage far-away sites like data centers, telecom rooms and utility huts from one place. You'll learn how tools like central monitoring, automatic fault alerts, self-starting equipment and IT asset tracking can make operations smoother, reduce downtime and improve security. It's especially useful for data center operators and anyone managing multiple locations.

Josh Lowe

Chief Solutions Officer & Co-Founder at AkitaBox

The One Thing AI Experts Won't Tell You About Your Data

Thursday, March 12th at 9:30 AM

AI can help facilities teams do things like predict maintenance issues and save energy, but only if the data behind it is good. If the data is messy, incomplete or inconsistent, even the best AI will not work well. This session explains why bad data holds AI back and highlights common data problems in facilities management, such as disconnected systems, old records and inconsistent data entry. Attendees will learn practical ways to check their data, improve how it is managed and prepare it for AI. The key message is that people and good data practices come first, and AI comes second.