Why Is AI Needed for Quality Assurance?
Quality Assurance (QA) professionals deal with vast sums of data stemming from various manufacturing operations and customer complaints. Even with a Quality Management System (QMS) software solution, it is very time-consuming for QA teams to capture and document data, ensure complete traceability, and log product errors. Much of the challenge stems from the fact that legacy quality data are siloed.