AI Monitoring
The continuous observation and analysis of AI system performance to ensure reliability, safety, and compliance.
Definition
Live tracking of AI systems through automated dashboards and alerts—covering performance drift, bias metrics, security anomalies, and data-pipeline health—to detect and remediate issues before they cause harm.
Real-World Example
An online marketplace monitors its pricing-optimization AI for sudden spikes in price volatility. Upon detecting anomalous price swings, a real-time alert triggers data-engineering intervention, uncovering a misconfigured data feed that would have overcharged customers overnight.
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