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An accessible primer on AI-powered observability: explains the shift from dashboards to intelligent telemetry, how ML analyzes logs, metrics, and traces to detect anomalies, cut alert noise, and speed root-cause analysis. Covers data pipelines, model choices, governance, and costs, with tools, pitfalls, and a step-by-step plan to pilot, measure ROI, and scale safely.