AI Ops and Quality

These terms focus on operational discipline and measurable behavior rather than model hype.

Observability

Observability is the ability to understand a system's behavior from signals like logs, metrics, and traces to diagnose issues and improve reliability.

Drift Monitoring

Drift monitoring tracks whether data distributions or model outputs change over time in ways that could degrade performance or safety.

Human-in-the-Loop

Human-in-the-loop is a design where a person reviews, approves, or corrects an AI system at key steps to improve accuracy and reduce risk.

Incident Response

Incident response is the process of detecting, triaging, mitigating, and learning from outages or security events using defined procedures and roles.