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Puja Mitra

Siemens and AMC Bridge discuss KineoWorks in webinar

AMC Bridge and Siemens Digital Industries Software are expanding their collaboration by hosting a free webinar on Siemens' KineoWorks software and its use in robotics and industrial automation development. The online session is aimed at professionals building automation software and focuses on ways to speed up that development work. For readers in the sector, it signals how the two companies are positioning robotics tooling within the broader industrial software stack.

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Jim Anderton

Siemens aims for 80 percent automation in German plant

Siemens is targeting roughly 80 percent automation at one of its German manufacturing sites, leaning on robotics to lift productivity. The move comes as European manufacturers face mounting pressure from demographic labor shortages and intensifying competition. For industry watchers, the plant serves as a test case for how far automation can offset a shrinking workforce without sacrificing output.

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Puja Mitra

ABB Robotics and NVIDIA launch physical AI education program

ABB Robotics has launched an education program built on NVIDIA AI technologies, aimed at teaching physical AI and the associated skills needed for industrial applications. The two companies released a white paper alongside the program that examines corporate readiness for AI, noting that 53% of companies are actively building AI fluency. For professionals in manufacturing and automation, the pairing signals a push to close the skills gap as AI moves from software into robots and factory-floor systems, where practical training is scarce.

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Lisa Eitel

From condition monitoring to safeguarding: How AI is changing industrial safety

Industrial operators are moving beyond conventional condition monitoring toward what's being called condition safeguarding, which uses AI-driven predictive maintenance to catch equipment problems before they become catastrophic failures. The approach is pitched as a way to extend asset life, improve overall equipment effectiveness and reduce maintenance labor while keeping plant personnel safer. The practical payoff is more uptime and fewer disruptive breakdowns, making it relevant to maintenance and reliability teams weighing where to apply AI.

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