What if industrial equipment could self-diagnose failures before they occur? With global operational expenditures (OPEX) in manufacturing reaching $1.2 trillion annually (McKinsey 2023), AI-driven predictive maintenance emerges as the ultimate disruptor. But how exactly does artificial intelligence transform reactive repair cycles into proactive efficiency engines?
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