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Practical Governance for Enterprise AI

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Telemetry

Telemetry refers to the automated collection and transmission of system performance data, usage metrics, and diagnostic information from AI systems and software applications. In enterprise AI governance, telemetry is critical for monitoring model behavior, detecting anomalies, ensuring compliance with data policies, and generating audit trails that demonstrate accountability. Organizations rely on telemetry data to track how AI systems perform in production, identify potential risks, and maintain visibility across distributed AI deployments for regulatory reporting purposes.

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