As a trader using AI, I see defect detection the same way I approach market analysis: data first, decisions second. You start by collecting and cleaning solid data (like price action in trading), label and train your model, then stress test it in real world scenarios. Once integrated, you keep refining it just like tweaking a trading strategy. The real edge is in continuous feedback loops: the AI keeps learning, spotting defects faster and with more accuracy over time, which is exactly how I stay ahead in the markets too.