Tag: Humans

Cover artwork for webinar Inside Scoop: The 'Oops!' and 'Ahas!' of Mastering AI in Manufacturing
nFlux News

Webinar Summary: Inside Scoop – The ‘Oops!’ and ‘Ahas!’ of Mastering AI in Manufacturing

Discover the transformative power of AI in manufacturing with nFlux.ai’s riveting webinar, “Inside Scoop: The ‘Oops!’ and ‘Ahas!’ of Mastering AI in Manufacturing.” Industry leaders unite in this dynamic discussion, unraveling how artificial intelligence and computer vision are revolutionizing operational efficiency and quality assurance. Engaging, informative, and sprinkled with moments of humor, the session illuminates the indispensable role of human creativity amidst technological advancements and explores strategic innovations across industries. This enlightening event not only showcases live demonstrations of AI in action but also tackles the challenges of technology adoption, offering a glimpse into the future of manufacturing innovation.

Thumbnail Nokia Whitepaper on Quality
Case Study

Whitepaper Published: How Nokia uses Computer Vision to transform Quality Management

Discover how Nokia revolutionized its quality management with nFlux’s cutting-edge AI and computer vision technology—read our latest whitepaper to see the future of telecom manufacturing today!” This exclusive collaboration highlights the transformation of traditional production lines into AI-powered factories of the future, dramatically improving quality standards and operational efficiency. Learn how the integration of artificial intelligence and advanced computer vision techniques is setting new benchmarks for the telecom industry, ensuring unparalleled reliability and reducing costs. Dive into our insightful whitepaper for a glimpse into the innovative processes that are defining the next era of manufacturing excellence.

robots rule and human worker
Future Manufacturing

Do robots ‘rule’​ and human workers ‘drool’​?

Elon Musk said: “It’s relatively easy to make a prototype but extremely difficult to mass manufacture a vehicle reliably at scale. … For cars it’s maybe 100 times harder to design the manufacturing system than the car itself.”