Telmai Launches Data Reliability Workload for Microsoft Fabric
Summary
Telmai has launched a data reliability workload for Microsoft Fabric that automates observability and quality across the Fabric ecosystem. The workload scans OneLake Catalog assets, prioritizes business-critical datasets, and deploys AI agent monitors for volume, schema, freshness, and completeness. It also exposes real-time MCP-compliant trust signals so Fabric data agents and external AI clients can check data health before acting. The integration pushes trust context into existing workflows like Jira and Microsoft Teams, reducing manual configuration and operational overhead. Enterprises using Microsoft Fabric can now evaluate a data reliability layer that supports analytics and AI use cases with less compute and fewer alerting issues.
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