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What if deploying MES didn’t require a massive budget, a year-long integration plan, or buy-in from every corner of the enterprise? A growing number of manufacturers are shifting away from all-in-one MES rollouts and embracing a more agile approach—building their

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

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 Most factory floors still rely on outdated systems, fragmented data, and manual workarounds that leave them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