Real-time intelligence has moved from a competitive edge to an operational necessity. A logistics team getting a delay alert six hours late has already missed the rerouting window. A fraud system running hourly batch jobs has already processed thousands of transactions through the gap. Microsoft Fabric’s Real-Time Intelligence stack is built to close that gap. Eventstream connects event sources, KQL
Poor data quality costs organizations at least $12.9 million a year on average, according to Gartner. Most teams trace it to the same root cause, which is analysts building on the wrong data because they had no reliable way to find the right data. A financial analyst joins a new team, opens Microsoft Fabric, and sees 340 tables across 12 workspaces
Most enterprise AI agents hit a ceiling within months of going live. The model stays the same, the prompt gets longer, and the team spends more time patching the system than the system saves them. It is a context problem. Static instructions cannot absorb what an agent learns from thousands of real-world tasks, so performance stays flat and maintenance costs
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