How can AI forecast potential failures in OT systems to enable proactive maintenance and reduce downtime?
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How can AI forecast potential failures in OT systems to enable proactive maintenance and reduce downtime?
Predictive maintenance using AI in OT systems involves analyzing historical data, monitoring real-time data, and using machine learning algorithms to detect patterns that indicate potential failures. AI algorithms can identify anomalies, predict when equipment is likely to fail, and recommend proactive maintenance actions. By continuously analyzing data from sensors and systems, AI can provide early warnings of potential issues, allowing maintenance teams to address problems before they cause downtime.