Resources for Smart Manufacturing

TL;DR: • Real-time pass/fail and defect categorization belong on the edge – there’s no time budget for the cloud at 1,000–1,500 parts/minute and 40–50 …

TL;DR:The European Union’s Artificial Intelligence Act (EU AI Act, Regulation (EU) 2024/1689) is the world’s first comprehensive, horizontal AI law. It applies even to …

TL;DR: Dust, shadows, glare, reflections and vibrations are real – but solvable – environmental conditions on the shop floor. In production environments we protect …

Or Why AI Is No Longer Optional in Manufacturing In the guest post for AIJournal, “AI in Manufacturing: Competitive Advantage Today, Necessity Tomorrow,” Uli Palli, …

TL;DR: The smart-factory leaders aren’t “buying more tech”; they’re nailing six unglamorous fundamentals—clean, unified data; open platforms; frontline buy-in; strategy before tools; and security/governance …

TL;DR:In manufacturing, “move fast and break things” backfires. This piece shows how a “break nothing” mindset leads to sturdier AI—better foundations, clearer success metrics, …

In manufacturing, not all data is created equal. This one-slide summary compares the data needs and limitations of two common use cases: visual inspection …

TL;DR: We’re adding “Made with AI” labels to images to make our use of generative tools transparent without cluttering the design. The post explains …

TL;DR: Successful manufacturing AI isn’t about “more data”; it’s about the right data, captured consistently and owned end-to-end. This piece lays out a practical …