Example Concept: Predictive maintenance in manufacturing involves using AI models to analyze sensor data from machinery. These models, often based on machine learning techniques like regression or classification, learn from historical data to predict when a machine is likely to fail. By continuously monitoring equipment performance, AI can alert maintenance teams to potential issues before they result in costly downtime, allowing for timely interventions.