This guide explores how artificial intelligence (AI) is transforming quality management in the electronics and high-tech (E&HT) industry. Companies face constant pressure to innovate rapidly while managing intense competition, supply chain disruptions, and component shortages. At the same time, maintaining high product quality is critical, as poor quality can lead to rework, product returns, increased costs, and damage to brand reputation. The guide highlights how AI helps organizations address these challenges by improving visibility, automation, and decision-making across the product lifecycle. By leveraging advanced analytics, connected data, and intelligent quality processes, companies can identify issues earlier, improve traceability, reduce defects, and enhance operational efficiency

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