The Microsoft Fabric Blog team details how AI-powered Real-Time Intelligence in Microsoft Fabric enables organizations to move from reactive to proactive operations, highlighting foundational features, new innovations, and real-world industry examples.

AI-Driven Operations with Microsoft Fabric Real-Time Intelligence

Organizations are increasingly seeking to harness the full value of their data to improve outcomes, efficiency, and competitive advantage. However, operational data often remains siloed or arrives too late for meaningful response. Microsoft addresses this challenge with Fabric Real-Time Intelligence, providing a unified, scalable platform for AI-powered, real-time operations.

The Role of Agentic AI

The article introduces the concept of “agentic AI”—systems that not only analyze data but can autonomously observe, adapt, and act. By integrating analytical and agentic AI within Microsoft Fabric, businesses can:

  • Detect critical signals in operations as they happen
  • Reason about cause and effect in real time
  • Trigger actions and alerts instantly

Microsoft Fabric Real-Time Intelligence Platform

Fabric Real-Time Intelligence provides a complete, event-driven architecture that includes:

  • Eventstream: Captures and transforms data streams from diverse sources
  • Eventhouse: Stores and queries petabytes of event data at scale
  • KQL Queryset: Enables reusable, real-time analytic queries
  • Real-Time Dashboard: Visualizes live key signals and insights
  • Copilot: Allows natural language querying, dashboard building, and insight discovery
  • Digital Twin Builder: Models assets, entities, and processes for operational intelligence
  • Activator: Detects conditions in data streams and automates responses
  • Real-Time Hub: Centralizes event management

Recent Innovations

The platform continues to evolve, with recent major feature releases:

  • Map: Provides intuitive geospatial analytics and live, location-based insights
  • Graph: Models and explores relationships and dependencies using graph analytics, based on LinkedIn technology
  • Anomaly Detector: Surfaces unusual, potentially actionable operational events using historical and real-time patterns

Other enhancements include better integration with Azure Monitor logs, expanded connectors, improved schema management, stronger workload security (private link), and richer no-code/low-code experiences.

Industry Impact and Use Cases

Fabric Real-Time Intelligence is already deployed across diverse industries, with examples such as:

  • Airlines and airports dynamically managing schedules and flows
  • Retail and commerce optimizing supply chain logistics
  • Hospitals improving patient flow
  • Manufacturers monitoring and optimizing production in real time
  • Industrial partners (with NVIDIA Omniverse integration) building advanced digital twins

Empowering Teams

Both business users and developers can leverage Real-Time Intelligence via Power BI, Teams, low-code automation, APIs, and pro-code tools. Over 40,000 consultants and 6,500+ partners are active in the ecosystem.

Resources

Further resources are available for learning, certification, community support, and technical documentation:

Conclusion

With Microsoft Fabric Real-Time Intelligence, organizations can achieve a 360-degree, AI-enhanced view of their operations. New capabilities such as Map, Graph, and Anomaly Detector, combined with existing event-driven infrastructure and seamless Microsoft 365 integration, help teams proactively identify risks, optimize outcomes, and stay ahead in the era of agentic AI.

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