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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Manufacturing AI deployments often fail when all intelligence sits in a single layer, either pushed entirely to the cloud or crammed into the sensor level. Intelligence needs to sit where it can operate reliably, respond in time, and remain secure. During a panel at IIoT World’s AI Manufacturing Day 2026, experts from TDK SensEI, AWS, […]
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The industrial sector is flooded with claims about fully autonomous operations, but for manufacturing executives, separating marketing from operational reality is critical. Despite the billions projected for artificial intelligence this year, the factory floor remains a complex, physical environment that does not easily bend to software trends. Only 20% to 25% of manufacturers have reached […]
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Predictive maintenance (PdM) delivers measurable returns, but building a credible ROI case requires more than vendor estimates. IIoT World created this executive guide to help plant leaders, operations directors, and CFOs quantify the financial impact of condition-based monitoring programs. From avoided downtime costs and spare parts optimization to labor efficiency and insurance premium reductions, this […]
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Manufacturers are investing in AI to improve maintenance, quality, production visibility, asset performance, and decision-making. Most of these use cases pull data from sensors, historians, machines, SCADA systems, MES platforms, engineering workstations, and other operational sources. Some of that data moves to enterprise systems, some to cloud platforms, some to analytics tools or AI models. […]
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I’ve been involved in distributed and embedded computing for about 30 years now, and one of the things I see again and again in the energy sector is how a successful AI pilot fails to become a successful deployment. The model works. The proof of concept proves what it was designed to do. Leadership approves […]
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Most industrial AI systems on the factory floor are limited to monitoring: they read sensor data, populate dashboards, and trigger alerts without ever sending an instruction back to the machine. Coreflux, a company based in Porto, Portugal, co-founded by CEO Hugo Vaz and CTO Paulo Mota, has embedded an AI agent directly inside its MQTT […]
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For decades, the promise of the digital factory was simple: more data equals more efficiency. Yet, as discussed at the ARC Industry Leadership Forum 2026, many manufacturers find themselves trapped in a productivity paradox. Despite having more sensors and dashboards than ever, teams are spending more time reconciling information than building products.To break this cycle, […]
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A predictive maintenance system flags that a motor will fail in three weeks. What happens next usually involves three to four people, spans up to two weeks, and touches the CMMS, ERP, workforce scheduling, and production planning systems before a single wrench turns. Agentic AI compresses that entire coordination chain into roughly 30 seconds. During […]
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Agentic AI will bring thousands, potentially tens of thousands, of AI agents to the factory floor. Every one of them will need data, and not all data. Agents do not perform well when exposed to massive amounts. They need focused, usable data scoped to their task. So, how much should manufacturers let them do without […]
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