AI Monitoring
The continuous observation and analysis of AI system performance to ensure reliability, safety, and compliance.
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.
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.
