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Predictive maintenance uses data analytics to anticipate and prevent equipment failures. Its benefits include fewer delays, less downtime, lower operating costs, higher customer satisfaction, improved brand reputation, and increased productivity. To implement predictive maintenance, follow these steps: Define a business use case, ensure data is relevant, audit the algorithm, and align skills with needs.

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