Machines can accomplish so much of what humans used to do. Now is the time to leverage technology while capitalizing on the unique qualities humans bring.
Quality 4.0 aligns quality management with Industry 4.0 to drive efficiencies, performance, and innovation. It's critical now more than ever to merge human skills with technology.
Determining liability and accountability for AI system actions is challenging. Organizations need a comprehensive approach addressing technical, ethical, legal, and organizational aspects of AI.
Generative AI and machine learning tools are particularly appealing as they offer insights into the underlying relationships within manufacturing processes.
Manufacturers face complex challenges, including attracting and retaining labor and adapting to a volatile market. Skilled human labor remains crucial despite advancements in automation.
The aerospace industry constantly seeks new technologies for a competitive edge and enhanced capability. AI and maching learning in additive manufacturing offer significant value for meeting industry needs.
OCR is a challenging field in image processing. The industry aims to improve accuracy and reliability, but what are the key factors in choosing an OCR system?
Clear Seas Research conducted a study on behalf of Quality in order to look at trends in compensation, work hours, and job constraints; overall job satisfaction; and quality improvements, as well as provide a demographic profile of industry professionals. How does your work compare?