Webinar Overview
AI‑scale loads, liquid cooling, and hyperscaler SLAs are exposing the limits of polled monitoring and homegrown telemetry in modern data centers.
In this on-demand webinar, data center industry experts walk through real customer projects where they designed a real‑time data streaming backbone across power, cooling, and compute — and what broke along the way.
You will get practical patterns they can reuse to modernize data flow for improved outcomes and ROI.
What you’ll take away from this in-depth webinar:
- Lessons from the field: How operators hit the wall with legacy data collection methods, and what changed when they moved to an event‑driven backbone for AI‑heavy, liquid‑cooled sites.
- Reference architectures that scale: Concrete designs for a unified data platform, OT/IT segmentation, and patterns that serve clients, hyperscalers, and ESG/reporting systems.
- A realistic rollout playbook: Where to start (and what to avoid) when moving from first pilot to multi‑site deployment — including scoping, ROI framing, and the roles needed to get from architecture slide to a running system.
