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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

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

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 Most factory floors still rely on outdated systems, fragmented data, and manual workarounds that leave them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

Modern industrial operations are redefining their relationship with data. No longer just a historical record, data now shapes real-time decisions and future outcomes. Systems across the factory floor continuously collect temperature, vibration, and motor speed readings through PLCs, IoT devices, 

At the Automate Show in Detroit, Christine Bush, Director of the Robotic Center of Excellence at Schneider Electric, shared a forward-looking perspective on how industrial robotics is evolving to meet the needs of a changing manufacturing landscape. The conversation focused

Data is more than a byproduct in today's industrial landscape—it’s the backbone of smart operations.  From sensors and Programmable Logic Controllers (PLCs) to building management systems (BMS) and cloud platforms, manufacturers generate an enormous amount of data every second. But