| | | | | | | | Software vendor reps use splashy debut at their Unleashed conference to showcase the ability of IFS Intelligence to pull information from assets, systems, and processes all over the plant and turn the information into insights in plain language, in one place. |
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| | | | | | Industrial software company’s index also shows gains in reliability and performance as industrial frontline teams tap operational data to solve critical challenges and achieve cost savings with AI. |
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| | Chuck Hull spoke with Smart Industry’s Dennis Scimeca about how he's seen additive manufacturing change over the years—and where he thinks it's headed. |
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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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| | | | | | ARC Advisory Group research lead Inderpreet Shoker brings the data and follows up her recent three-part Smart Industry series on connected worker platforms with more advice on making the most of these promising solutions that involve many variables to succeed in smart factories. |
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| | 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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| | 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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| | | | Sponsored | | AI alone won’t transform manufacturing. The real advantage comes from pairing AI with trusted operational data, processes and frontline expertise. Discover how MOM/MES can turn manufacturing context into smarter decisions and measurable outcomes. |
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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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