MQTT can connect the data. But scaling a Unified Namespace across plants requires shared structures, clear ownership and governance across IT and OT.There is no universal standard for the Unified Namespace. But without an internal standard, it cannot remain unified. That apparent contradiction captures one of the most important realities of industrial data architecture.A Unified […]
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I started out as a control systems engineer, working in plants where everything important happened in one place. There was just one site, one control room, and one process to watch. You could stand right in the middle of it all.The energy systems being built now have none of that. A single operator’s portfolio might […]
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Manufacturing is the most targeted sector for ransomware, with attacks rising 56% year over year, according to OPSWAT. Verizon’s 2025 Data Breach Investigations Report recorded 1,607 confirmed breaches in manufacturing, an 89% increase. Up to 80% of new ransomware is now AI-generated, according to industry estimates cited by OPSWAT, and smart factory technologies adopted in […]
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EDF Power Solutions North America manages 16 gigawatts of power across wind, solar, and battery energy storage systems, with equipment from dozens of OEMs that was never designed to interoperate. To bring all of that data into a common format, the company deployed an edge solution across more than 50 sites and adopted the IEC […]
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Sensors, cloud infrastructure, and algorithms keep improving, but the hardest input to capture for any manufacturing AI system is the knowledge held by a maintenance engineer who has been watching, listening to, and repairing the same equipment for 15 years. That engineer knows which vibration pattern means a bearing is failing versus which one is […]
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Most manufacturers know they need to start with AI. The common advice, “start small” with a use case, prove value, and scale, is incomplete on its own. Starting small without first thinking big leads to a collection of disconnected experiments that never compound into enterprise capability.At IIoT World’s AI Manufacturing Day 2026, a panel featuring […]
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Most plants were built to make products, not to feed AI agents. The operational knowledge that AI needs is locked in formats that were never designed to be searched, structured, or consumed by machines.During a session at IIoT World’s AI Manufacturing Day 2026, Chris Huff and Anthony Vigliotti of Adlib Software, alongside Mathias Oppelt of […]
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Manufacturers are paying more attention to AI, cloud connectivity, and advanced cyber threats, but one of the most common OT security gaps is still very practical: what gets carried into the plant.Vendor laptops, USB drives, phones, and other portable devices move in and out of manufacturing environments every day. They support maintenance, troubleshooting, software updates, […]
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Standard predictive maintenance was built for steady-state machines. A duty-cycle crane behaves nothing like one, and that mismatch is exactly where the failures hide.The Short VersionA crane is the most consequential moving asset on your floor, and it’s often the one your monitoring system understands least. Battery-sampled predictive maintenance (PdM) sleeps through the moments that […]
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Industrial companies want AI systems that can predict failures, optimize production, reduce energy consumption, and improve operational visibility across facilities. Many already have sensors, connected equipment, cloud platforms, and years of historical operational data.Yet a growing number of manufacturers are discovering the same issue: AI initiatives are advancing faster than industrial data infrastructure.Hugo Vaz, CEO […]
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Monitoring one pump with a vibration sensor and catching a failure two weeks early is straightforward. Doing the same thing across hundreds of assets in multiple plants, with different machine types, different maintenance histories, and different data systems, is where most predictive maintenance programs stall. During a panel at IIoT World’s AI Manufacturing Day 2026, […]
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Manufacturing competition used to center on the mechanical speed of production lines and the efficiency of output. The advantage now belongs to organizations that react to data faster, catching a quality drift, a mechanical failure signal, or a process deviation before it becomes scrap, downtime, or a safety event. Reacting faster, though, requires trusting the […]
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