Author: Paul Viorel

At the MES & Industry 4.0 Summit in Porto, May Yap, Senior Vice President and Chief Information Officer at Jabil, offered a clear message for manufacturers navigating global digital transformation: technology isn’t the hard part—alignment is. Across dozens of production sites and

Data plays a critical role in shaping operational decisions. From sensor streams in factories to API response times in cloud environments, organizations rely on time-stamped metrics to understand what’s happening and determine what to do next. But when that data

Learn how integrating a time series database with your historian helps industrial teams detect issues faster, act in real-time, and build predictive strategies that reduce downtime. Modern industrial systems continuously generate time-stamped data from sensors, PLCs, SCADA systems, and other connected

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 Most factory floors still rely on outdated systems, fragmented data, and manual workarounds that leave them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

The thought of digitalization can be overwhelming. When we first started talking about IIoT or digitalization about a decade ago, the concepts were prescribed as an all-encompassing, top-down approach taking the industrial world from Industry 3.0 to Industry 4.0. However, that