Reliable AI requires moving beyond simple observation. By shifting from detection to prediction, organizations can intercept failures before they impact critical systems. Helen Gu outlines a framework where automated, real-time responses and preventative controls turn standard monitoring into an active production defense layer. This strategy ensures mission-critical stability by not only identifying anomalies but executing the necessary recovery automation to maintain system integrity.
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