Real‑time data has always mattered, but historically it demanded specialized infrastructure, niche expertise, and a processing paradigm completely separate from conventional batch analytics. The result was predictable: real‑time capabilities stayed isolated, expensive, and under‑adopted.

That’s changing fast. Microsoft Fabric’s Real‑Time Intelligence (RTI) brings streaming ingestion, processing, and analysis into the mainstream, making real‑time workloads accessible to every analytics team. And in the age of AI agents—where systems must interpret signals and make decisions as events unfold—this shift isn’t just helpful, it’s essential.

In this session, we’ll walk through the core components of Fabric RTI, including Eventstreams, Eventhouses, real‑time dashboards, and operations agents. You’ll see how these pieces fit together, how to build practical solutions with them, and how they enable agentic implementations that can leverage them.

We’ll also explore Fabric ontologies, which provide the semantic grounding AI systems need to be more deterministic, more consistent and, ultimately, more accurate.

You will learn:

• How to capture and transform real‑time data with Fabric Eventstreams
• The creation, management, and optimization of Fabric Eventhouses
• Visualizing streaming workloads through real‑time dashboards
• Querying live data using Copilot, Operations Agents, and Eventhouse KQL