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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AI already produces summaries, recommendations, and reports across manufacturing. Few manufacturers trust those outputs enough to act on them.Searching a document library or summarizing a maintenance file is a support function. Recommending a process change, flagging a quality risk, supporting supplier approval, or triggering a production workflow sits in a different category. The consequences are […]
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Industrial environments have been built one use case at a time, leaving most large manufacturers with fragmented IT and OT infrastructure. A manufacturer with 10 sites might run four different home-grown MES platforms, three different ERPs, and entirely custom data connections between them. As organizations deploy artificial intelligence, that absence of standardized data architecture has […]
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Close to 80% of power generation deployments in ABB’s global electrification and power install base run on-premise at the edge. That figure, shared by Cody Falcon of ABB Energy Industries during IIoT World Energy Day 2026, is not an aspiration. It is the current state of how power gets managed. The reasons are practical: battery […]
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In manufacturing, the window between a small deviation and a costly event can be measured in seconds. A vibration pattern shifts, a batch parameter drifts, a temperature moves outside its normal band. The data exists, but by the time it reaches the person who can act, the window has closed. Response speed for AI in […]
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