What’s Really Needed For Advanced Test?

The article discusses the importance of data quality in advanced testing within the semiconductor industry. It highlights the challenges related to data plumbing and the need for clean, complete, and correctly associated data. The article emphasizes the significance of good data infrastructure, particularly in metadata consistency and direct data collection at the point of measurement. It also touches on the application of machine learning in test operations, pointing out the current limitations in real-time model inference. Overall, the article underscores the critical role of data quality in enabling intelligent testing and the need for investments in data infrastructure.