ai

Post-Deployment Monitoring

A systematic process for continuously tracking an AI system's performance, fairness, and security after its launch into a live environment. It is crucial for detecting risks like model drift and bias, ensuring long-term reliability and compliance with frameworks like the NIST AI RMF and ISO/IEC 42001.

Curated by Winners Consulting Services Co., Ltd.

Putting this into practice

Winners Consulting helps organizations turn this concept into workable policies, processes and audit readiness.

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