At the Industrial AI Summit 2026, attendees asked questions about supplying context to industrial AI agents that the panel did not have time to answer live. Peter Sorowka, CEO of Cybus, provided answers covering how factories should structure context for AI, the role of MCP servers in connecting LLMs to plant data, the transition from […]
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Manufacturers investing in AI, advanced analytics, and autonomous systems face a recurring problem: the data underneath these initiatives is not ready to support them. Amazon Web Services and HighByte published a 25-page white paper, “A Maturity Model for Industrial Data Management,” that gives manufacturing organizations a structured way to assess where they stand and what […]
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A cement manufacturer using AI to optimize a flame that changes in fractions of seconds cannot wait for data to travel to a cloud server and back. This gap was a key topic covered at the Industrial AI Summit 2026, where David Purón of Barbara identified three factors that determine whether AI runs at the […]
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A pharmaceutical regulatory response team spends 30 days on a single agency question. Most of that time goes to finding documents. At the Industrial AI Summit 2026, Kristen Sauter, President and General Manager of Life Sciences, Adlib Software, and Adam Procopio, Scientific Associate Vice President, Merck, explained why: every time a contract manufacturer’s electronic batch […]
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HiveMQ launched HiveMQ Platform, expanding the MQTT infrastructure it has operated in mission-critical environments for more than 12 years into an industrial data platform that prepares operational data for agentic AI. The platform moves beyond data streaming into four capabilities: connecting across OT and IT systems, contextualizing with consistent governance rules, analyzing in real time […]
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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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