Data Science

The rapid pace of product innovation, evolving manufacturing methods, and skilled labor shortages are putting increasing pressure on traditional Quality Assurance/Quality Control (QA/QC) approaches. At EWI, advanced QA/QC has been an ongoing focus, leveraging our expertise in manufacturing processes, sensor integration, and data science to develop real-time, automated solutions that can: Enable 100% inspection  Provide...

The Future of QA/QC in Advanced Manufacturing Speed, smarter sensors, and the human-in-the-loop advantage As reshoring, reinvestment, and rapid innovation reshape North American manufacturing, one area is emerging as a cornerstone of competitiveness: quality assurance and quality control (QA/QC). Manufacturers are facing unprecedented pressure to get products to market faster, operate efficiently, and ensure uncompromising...

Data-based tools and techniques can significantly improve manufacturing efficiency and productivity. To date, however, there have been challenges – both real and perceived – to full-scale adoption of data science across industrial sectors. To address these obstacles, EWI Director of Data Science Alex Kitt has written Data Science: New Approaches to Address Manufacturing Challenges. This...