AI and ML are transforming real-time system operations by shifting from reactive monitoring to predictive and adaptive control. These technologies enhance situational awareness, automate decision-making, and optimize resource allocation across sectors like energy, transportation, and manufacturing. Key applications include anomaly detection, demand forecasting, and dynamic load balancing, all critical for system reliability and efficiency. Challenges remain around data quality, integration, and governance, requiring strong MLOps practices and continuous validation. For executives, embedding AI into real-time operations offers competitive advantage, resilience, and the ability to manage complexity at scale.

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