| | | | | | | | Twins have stepped out of the presentation room and into the control loop, with the market expected to boom by many billions of dollars by 2035. |
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| | | | | | Preparing such systems requires more than an individual AI model: Engineers need task-relevant simulations, product and factory models, operational data, and evidence from physical tests. |
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| | Billions have been invested in Industry 4.0, IoT, machine learning, advanced analytics, automation, and digital transformation. AI, however, is forcing whole industries to revisit the meaning of the word. |
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Sponsored | | Industrial automation has been around for many years, in one form or degree to another. The epicenter of such innovation these days has taken the form of the introduction of AI into the interactions between plant floor machines and humans who work there. This has come to be known as “physical AI,” which connects software intelligence to... |
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| | | | | | Awareness is significantly higher than it was 10 years ago and most operators understand that cybersecurity is important. The challenge, however, remains execution. |
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| | The companies are offering new technologies and software portfolios that aim to simplify automation technologies for manufacturers. |
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| | How can an organization move away from isolated assistance? How should it prepare for agentic AI that can coordinate work across multiple systems? |
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| | | | | Despite increased investments in cybersecurity and connectivity, operational resilience does not always result from those initiatives. |
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| At IMTS 2026, the company demonstrated its platform that manufacturers can use to build their own AI agents. |
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