Imagine the following scenario on an assembly line. A critical equipment component is about to fail. A traditional sensor misses it. But a multimodal AI sees a microscopic crack in the camera feed, hears the faint, anomalous whine in the audio stream, and feels the subtle vibration in the sensor data. It doesn’t just flag an alert—it diagnoses the problem, pinpoints the machine, and halts the line. A catastrophic shutdown and a million-dollar recall are averted not by hours,

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How companies can tap into machine learning predictive maintenance, and win big