A machine shop lays out $300,000 on a new machine and waits roughly two months before it cuts a single part. At IMTS 2026, Brent Kephart of Siemens explained what causes the delay and how the company’s “Meet at the Machine” initiative cuts that delay: a digital copy of the machine, delivered the day after […]
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When the AI model runs on the sensor, anomaly detection happens without a cloud round-trip. At IMTS 2026, Tim Gicewicz of TDK SensEI explained how edgeRX collects vibration and temperature data from motors, pumps, and gearboxes, builds a baseline of normal equipment behavior on the device, and flags deviations locally.Why Run AI on the Sensor […]
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Manufacturers have been disconnecting hard drives full of production data for years because their SCADA databases ran out of capacity. AI models now need exactly that data, full-resolution sensor readings and process histories, for training and real-time inference. Doug Pagnutti of Tiger Data, a former automation engineer who lived this cycle firsthand, explains how the […]
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In July 2026, a coordinated cyberattack targeted operational technology at more than 30 community water systems in Minnesota, prompting the FBI and EPA to issue a broader warning that water and wastewater utilities in at least seven states had reported incidents involving internet-facing PLCs. Attackers changed IP addresses and passwords, and the FBI reported operational […]
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Physical AI systems that interpret sensor telemetry, predict equipment behavior, and trigger automated responses require two data capabilities that traditional historians were not designed to provide: high-resolution historical datasets for model training and continuous real-time telemetry for inference. In a new article, Conrad Chuang of InfluxData identifies four specific gaps between what historians deliver and […]
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Manufacturers generate enormous volumes of data from machines, equipment, and enterprise systems, yet 84% of companies report that data access is slowing them down, according to a panel discussion at IIoT World featuring experts from HighByte, HiveMQ, CrateDB, and Deloitte. The session, moderated by Hamish Mackenzie, examined why data usability, governance, and architecture are the […]
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This article is part of an awareness campaign. Editorially Independent, Sponsored by TDK SensEI.Manufacturers testing AI agents for maintenance face a dependency most teams overlook: the agent is only as reliable as the prediction feeding it. When a diagnostic agent pulls machine manuals, checks parts inventory, and schedules a technician based on a false alarm, […]
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Historian renewal notices show up as a procurement line item, usually larger than the previous year, and most teams sign and move on. Ryan Nelson, Director of Product Marketing at InfluxData, explains that the renewal moment is worth using to ask whether the current architecture can carry what the business needs over the next three […]
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When an AI system recommends a quality action and the recommendation turns out to be wrong, the model does not carry the production loss, answer to the customer, sign the quality record, or explain the safety event. The people who relied on that recommendation do. And as AI moves beyond answering questions toward routing supplier […]
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Manufacturers are adding more digital connections to production environments. AI programs, remote monitoring, predictive maintenance, asset analytics, and cloud platforms all depend on some level of connectivity between OT, IT, and external systems.That creates a practical question for manufacturers: how should the OT environment be built so one failure, one misconfiguration, or one compromised system […]
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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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