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Advanced technologies have the potential to boost productivity and product quality while lowering operational expenses, which explains why so many manufacturing companies are adopting new trends. Organizations can analyze the massive amounts of production data that they are now able to collect using AI. With that analysis, they can much easier identify problems and make improvements in a timely manner with better data than before. AI for Manufacturing further cements this advantage by optimizing supply chains, predicting equipment failures, automating quality inspections, and improving resource utilization. Implementing AI in manufacturing is a powerful way to respond to the market more quickly with greater operational oversight and less downtime. Digital transformation is critical for keeping AI competitive, and continuing the use of AI in manufacturing with the goals of efficiency and resilience is well justified.