production and quality data to improve their performance. Quality Control (47%) – An excellent example of data-driven quality control is in-process inspections, which are forced by the quality control ...

Quality control methods help standardize production and reactions to quality ... QC can involve training personnel, creating data-driven tools, testing products, and setting standards.

In this landscape, data-driven ... traditional quality assurance methods were no longer sufficient. In the past, reliability testing often involved physical stress tests and post-production ...

By Stacy Feeley, Product Manager at Plex by Rockwell Automation Key takeaways: Food manufacturers face significant financial ...

AI is revolutionizing corporate decision-making by enhancing predictive analytics, automating processes and fostering a ...

storing and labeling data is expensive. In manufacturing, labeling defect images for AI-driven quality control can take months. Synthetic data is a strategic tool that should complement ...

The advent of artificial intelligence (AI) and data-driven methodologies has triggered a wave of transformation in regulatory compliance and quality assurance for the development of medical devices.

A recent MIT Technology Review survey revealed that 64% of manufacturers are exploring AI to enhance product quality. With ...