This ebook describes the shift from traditional predictive maintenance to intelligent, AI-driven approaches using real-time data, advanced analytics, and machine learning. It provides statistics on global downtime costs and outlines essential components such as analytics databases, sensor data collection, data cleaning, high concurrency, and real-time processing. It highlights benefits including reduced downtime, lower maintenance costs, extended equipment lifespan, resource optimization, and improved reliability. Sustainability is emphasized as a major outcome, reducing waste and energy use. The ebook shows how modern predictive maintenance delivers substantial ROI and positions organizations competitively.

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