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      "text": "ISSUE/OPPORTUNITY: Industrial equipment failure can trigger substantial costs; yet, traditional maintenance is often reactive or rigidly scheduled, leading to unexpected breakdowns or wasteful over-maintenance. Critical factors such as labor shortages, weather events, and the move toward electrification are all increasing the need for AI-powered predictive maintenance of industrial equipment and more dynamic, data-driven asset maintenance planning.",
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