Brian Taylor, Head of Electronics and Semiconductor US at Siemens, explains why semiconductor fabs costing tens of billions of dollars need a connected digital twin strategy that links chip design through equipment behavior to facility management,…
AI is changing how semiconductor fabs inspect wafers and maintain equipment. AI vision systems now train on as few as five images to distinguish real defects from acceptable variation, cutting false alarms and costly reworks. Predictive…
Industrial operations depend on data historians to record what’s happening on the line or in the field. But as systems evolve toward Industry 4.0, many teams find that their historians weren’t built for what’s next —…
AI agents embedded directly inside industrial data pipelines, rather than layered on top as analytics, are now operationally viable for manufacturers. At Cognite's 2025 event, SVP Laxmi Akkaraju outlined how this approach delivers autonomous root cause…
AI copilots in manufacturing embed expert knowledge directly into factory systems, giving operators real-time, human-expert-level diagnostics at the point of decision. According to a white paper published by Arch Systems, one high-volume facility using this approach…
Predictive maintenance has proven its value across most industrial asset classes, but a stubborn 10% of equipment remains nearly impossible to monitor with conventional sensor technology. These are the assets in extreme temperatures, corrosive environments, confined…
What Is the Manufacturing Expertise Gap? The manufacturing expertise gap refers to the shortage of skilled subject matter experts caused by workforce retirement. According to the National Association of Manufacturers, 1.9 million manufacturing jobs may remain…
At the MES & Industry 4.0 event in Porto, Jeff Winter, VP of Business Strategy at Critical Manufacturing, outlined a practical roadmap for manufacturers ready to move beyond experimentation and into scalable transformation. Start with a…
Traditional Manufacturing Execution Systems were designed for a world where data flowed in one direction, from the shop floor up to enterprise dashboards, in batch intervals measured in minutes or hours. That architecture cannot support the…
Every predictive maintenance model, every digital twin simulation, and every real-time dashboard in a modern factory depends on one thing: trustworthy time series data. Yet bad data, whether caused by sensor drift, network gaps, or timestamp…
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…
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…