Enterprise data teams are watching a shift in how pipelines get built, run, and repaired. Agentic AI data engineering describes systems where autonomous software agents plan, execute, and verify data work with limited human direction, instead of running fixed scripts on a schedule. These agents read intent, inspect the current state of the data, decide on an action, and check
Enterprise AI has moved past the question of whether to build. Most organizations are already running pilots, funding proofs of concept, and reporting early wins to leadership. The harder question is why so few make it to production. It was the defining theme at Microsoft Build 2026 last week, where Microsoft shipped Foundry updates built specifically around moving agents from
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
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Enabling Faster Insights with Informatica to Microsoft Fabric Migration
How Microsoft Fabric Improved Sales & Financial KPIs for a Leading Pharma Manufacturer
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Informatica to Talend: How AI Reduces Migration Time by 50%
