Quality organizations will be the front line in adopting artificial intelligence (AI) in electronics manufacturing organizations. Quality leaders and engineers own challenges that impact the business’s throughput and product margins – and those challenges are often well-defined and great use cases for AI.

Today, quality leaders implement quality control (QC) processes with functional tests, visual inspection, and reliability or strife testing. For visual inspection, the latest technology advancements are very old news. Machine vision cameras have been around for decades. Camera sensors have improved resolution. X-rays and CT scans have become more cost-effective, expanding their viable application. But there’s not been anything new for quite a long time. AI has already changed that.