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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There was a time when “real-time” in energy operations meant something measured in minutes. A SCADA poll every few seconds. A historian recording values at fixed intervals. An operator watching a dashboard and making a call when something looked off. For the grid as it existed ten or fifteen years ago, that was fast enough.However, […]
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The phrase “garbage in, garbage out” has been used for decades, but it has new weight in manufacturing AI. An AI model used for predictive maintenance, quality analysis, or process optimization relies on data from machines, sensors, historians, files, inspection systems, maintenance platforms, and production environments. If that data is compromised, manipulated, or introduced through […]
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