Video by H2O.ai via YouTube
Deploying an AI system is the start of a responsibility, not the end of one. Once a model or agent is live, you need to know what it is doing and why.
Terms covered:
– Observability: understanding what is happening inside a system from what it produces. A design property, built in rather than added later.
– Monitoring: tracking defined metrics over time and alerting when something crosses a threshold
– Model Monitoring: prediction accuracy, confidence scores, output distributions, latency
– Agent Monitoring: what actions agents take, how they use tools, and whether they stay within their boundaries
– Telemetry: the continuous collection of logs, traces and metrics that feeds all of it
Without telemetry, monitoring is blind. Without monitoring, observability has nothing to analyze.
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AI Fundamentals Glossary | H2O.ai University
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