How can AI-driven analytics support OT capacity planning by predicting resource needs?
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How can AI-driven analytics support OT capacity planning by predicting resource needs?
AI-driven analytics can support OT (Operational Technology) capacity planning by predicting resource needs through the utilization of historical data, real-time monitoring, and machine learning algorithms. By analyzing patterns and trends in operational data, AI can forecast future resource requirements based on factors such as production demands, equipment performance, and maintenance schedules. This helps in optimizing resource allocation, preventing downtime, and ensuring efficient operation of OT systems.