Predictive maintenance using AI involves using data-driven techniques to anticipate equipment failures and optimize maintenance schedules. By leveraging machine learning algorithms, sensors, and historical data, AI systems can analyze patterns and predict when a machine is likely to malfunction. This proactive approach helps businesses reduce downtime, extend asset lifespan, and lower maintenance costs compared to traditional reactive maintenance strategies. AI can process large volumes of data in real-time, improving accuracy in predictions and enabling timely interventions. Overall, predictive maintenance enhances operational efficiency and reliability by shifting maintenance from fixed schedules to data-informed decisions.

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