Artificial intelligence (AI) has been making waves in various industries, and the maintenance sector is no exception. Predictive maintenance, in particular, has seen significant improvements with the integration of AI technology. Predictive maintenance is the process of using data analysis to predict when equipment or machinery is likely to fail, allowing for maintenance to be scheduled before the failure occurs. This approach is more efficient than traditional reactive maintenance, which involves repairing equipment after it has already failed.
The use of AI in predictive maintenance has enhanced efficiency and reduced downtime for businesses. By analyzing large amounts of data, AI algorithms can identify patterns and predict when equipment is likely to fail.