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AI‑scale loads, liquid cooling, and hyperscaler SLAs are exposing the limits of polled monitoring and homegrown telemetry in modern data centers. Watch this on-demand webinar, where data center industry experts walk you through real customer projects, where they designed a real‑time data streaming backbone across power, cooling, and compute, and what broke along the way. 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.