From Data to Decisions:

As the AI infrastructure buildout accelerates, electronics systems are becoming increasingly complex and performance demands continue to rise. Quality challenges now carry higher cost and risk, especially in AI server environments where failures can disrupt compute, drive expensive model re-training, and repeat across an increasingly competitive and fast-moving value chain.

This first webinar in the series provides a high-level look at the trends and challenges shaping electronics manufacturing today, while introducing modern quality solutions and measurement technologies emerging to address them. Using AI server quality challenges as examples, we will explore how increasing power density, thermal demands, and tighter tolerances are influencing new approaches to R&D, manufacturing, and quality expectations across the value chain.