AI Use Cases in Electronics: Lessons From the Factory Floor
The most valuable lessons about AI Use Cases in Electronics rarely arrive in a polished strategy presentation. They emerge during an NPI build when a substitute capacitor behaves differently in reflow, an AOI program floods the line with false calls, or a field-return investigation stalls because design, supplier, test, and service records cannot be reconciled. Having worked alongside electronics engineering and manufacturing teams through situations like these, I have learned that AI creates value only when it is attached to a specific decision, grounded in traceable product data, and designed around the realities of the factory floor. A practical view of AI Use Cases in Electronics begins with those decisions rather than the algorithms. Component engineers need to know whether an alternate is genuinely compatible. Test engineers need to distinguish fixture variation from product failure. Supplier quality engineers need to identify which incoming lots deserve attention. NPI leaders n...