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  "documentTitle": "Rethinking the course to manufacturing’s future",
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      "text": "But poor and inconsistent data quality is the main cause.",
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      "text": "Percentage of factory managers: 66%",
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      "text": "To make that shift, factory managers will need to ramp up their AI use. And yet, 38% of factory managers are still hesitant about applying gen AI in their factories. What's driving their reluctance? Lingering mistrust and the need for more awareness about how effective this technology can be in manufacturing are a few of the reasons. But poor and inconsistent data quality is the main cause. Factory managers need reliable data to drive real-time analytics and AI-driven insights; without it, factories can't be proactive. So to build the factory of 2040, factory managers need to focus on data now. They need to strengthen the company's digital core so that it can support better data gathering, integration and use. For example, they need to be sure they can deploy edge computing and industrial IoT (IIoT) to process data directly on the factory floor, enabling immediate process adjustments to prevent quality defects, optimize workflows and improve cycle times.",
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