Quality managing editor Michelle Bangert talked with Justin Newell, CEO of Inform North America, who recently wrote an article for Quality on trustworthy AI.

AI is revolutionizing quality control in manufacturing, driving us into Industry 4.0 and beyond. Manufacturers can streamline processes, boost efficiency, and deliver top-notch products globally. Embracing AI isn't just advantageous; it's essential for thriving in today's economy. Businesses must invest in AI to empower their workforce and stay ahead in the rapidly evolving manufacturing landscape.

Michelle Banger and Ed Goffin of Pleora Technologies discuss his recent article for Quality called “Cutting Through the Complexity of AI.” 

Discovering, evolving, and sometimes unsettling, artificial intelligence mirrors our human learning. Yet, as it integrates further, questions arise: Can it handle quality assurance? What's in the future? And crucially, how much control are we comfortable relinquishing to it?

Businesses aiming for growth must find skilled labor and have enough revenue to scale operations. Proactive strategies help companies meet challenges and avoid negative outcomes that impact the bottom line.

In the competitive electric vehicle (EV) industry, perfecting the battery tray's aluminum weld design is critical. It houses essential components and safety ensuring precise integration is crucial to prevent potential hazards such as torsion-induced bending of both the battery tray and the vehicle body due to thermal expansion of battery cells.

The robotics industry’s most prestigious award will be presented May 8 at Automate in Chicago.

Stephen Greene, Vice President, Global Marketing and Stratus Strategic Partnerships of Intelligent Platform Solutions answers five questions on quality.

ROME—Automation firm Comau and aerospace supplier Leonardo S.p.A. are working together to develop self-adaptive robotic technology that can autonomously inspect helicopter blades up to 7 meters long.

System integration strategies vary by industry and project scale. Success relies on thorough planning and execution, especially in machine vision technology. Here are key integration elements for success with vision technologies.