Smart Manufacturing

  /  Smart Manufacturing (Page 6)

Despite years of digital transformation buzz, many manufacturers still rely on spreadsheets, paper-based records, and siloed systems to run critical operations. As Augusto Vilarinho, Head of Global Sales at Critical Manufacturing, bluntly put it during the recent MES & Industry

At the second edition of the MES & Industry 4.0 International Summit in Porto, Portugal, Lucian Fogoros, Co-founder of IIoT World, spoke with Francisco Almada Lobo, CEO and Co-founder of Critical Manufacturing, about how generative AI is evolving the role of Manufacturing Execution Systems

Modern manufacturers face a paradox: despite generating more data than ever, as much as 80–95% of valuable operational data remains unused. The result? Missed opportunities, fragmented visibility, and stalled digital transformation efforts. Our new executive booklet, based on the expert panel “The Connected

Manufacturers are under relentless pressure to adapt—fast. But while the demand for agility is everywhere, the reality on the ground tells a different story. Most factory floors still rely on outdated systems, fragmented data, and manual workarounds that leave them

Forget the hype. Generative AI isn’t replacing workers or designing entire factories — yet. But it is changing what happens on the factory floor, where complexity, variability, and labor shortages meet real-time decisions. From reducing assembly errors to preserving expertise

As manufacturers accelerate their digital transformation journeys, the limitations of fragmented data environments are becoming more visible—and more costly. The promise of smart manufacturing hinges on one capability: enabling data to move seamlessly from the factory floor to the cloud

Digital transformation is a top priority for manufacturers—but executing it without disrupting daily operations remains one of the toughest challenges in the industry. Downtime is expensive. Retraining teams is resource-intensive. And implementing new systems while maintaining output often feels impossible. IIoT

In today’s industrial landscape, there are only two kinds of manufacturing companies: those that turn data into value and competitive advantage—and those that don’t. Period. Yet many manufacturers remain stuck. Some are too focused on legacy processes and past decisions; others

Industry 5.0 will empower people by positioning them back at the center of manufacturing. This will be achieved by focusing on a more strategic collaborative relationship between humans and machines in addition to increasing sustainability and resilience. Getting there isn’t