Microsoft Fabric: Real-Time Intelligence

Key insights

• Real-Time Intelligence (RTI): RTI ingests and processes live event streams so teams can analyze signals, trigger alerts, and take actions without batch delays.
  It covers ingestion, transformation, storage, analytics, visualization, tracking, AI, and real-time actions in a single flow.
• Fabric IQ: Fabric IQ adds a shared business context layer that interprets what live signals mean for the organization.
  It combines semantics, ontologies, plans, and graph relationships so humans and agents understand and act on events consistently.
• How RTI and Fabric IQ work together: RTI supplies the live data stream and Fabric IQ supplies the meaning, rules, and reasoning.
  Together they enable real-time decisioning—dashboards, alerts, and automated responses that follow a governed business model.
• Key use cases: Real-time monitoring of operations and assets, IoT and sensor analytics, immediate alerting and automated response, and AI agents that need business context before acting.
  These scenarios benefit most from combining streaming signals with semantic context.
• Technical approach and benefits: The solution favors an event-driven architecture over scheduled batches and reduces the need to stitch multiple systems together.
  It runs on governed Fabric data (OneLake + semantic models), supports KQL/SQL analysis, and feeds live dashboards and action pipelines.
• What to know for adoption: Components like Operations Agents and Graph are generally available, while Ontology and Planning continue to evolve.
  Data professionals should learn RTI patterns, Fabric IQ concepts, and related certification paths to design real-time, governed solutions.

Keywords

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