While manufacturers invest in AI and digital twin programs, the Adlib ebook “AI-Powered PLM in Manufacturing” reveals that most of the data required for those initiatives is buried in documents that machines can’t read. Across the industry, 80% of operational data is unstructured, and 90% of it is never used because it sits inside PDFs, CAD […]
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For more than a century, our factories have been powered by automation—machines tirelessly repeating the same motions, churning out parts, and, occasionally, chewing up a wrench if something went wrong. Automation gave us the Industrial Revolution and, eventually, affordable toasters. But as powerful as automation has been, it has one fatal flaw: it can’t think.Today, […]
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In most industrial operations, digital reliability still means one thing: predicting failures before they happen. But as systems mature, that’s no longer enough. The next evolution is about using machine data to drive performance, not just prevention.Seeing What Limits the SystemThe future of reliability depends on two capabilities: understanding residual life and identifying bottlenecks.Residual life assessment estimates how long a […]
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In most plants, data visibility has improved dramatically. Modern time series databases connect seamlessly with SCADA systems, historians, and operational dashboards, giving teams real-time insight into production. This foundational layer—basic monitoring—has become table stakes in manufacturing.But visibility alone isn’t enough. According to a study by Aberdeen Research, unplanned downtime in manufacturing can cost up to […]
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The industrial sector is in the midst of a seismic shift. With the market for digital transformation in manufacturing projected to reach $440 billion in 2025, leaders are rightly focused on harnessing the power of the Industrial Internet of Things (IIoT), AI, and advanced analytics to build the factories of the future. The ambition is […]
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In a few short years, the most visible change inside industrial plants won’t be new machinery—it will be silence. No more scribbled shift logs, no frantic data reconciliation between operators, and no confusion over what happened last night. By 2028, AI-driven plants will explain themselves.From Data Entry to Data FluencyAt the Honeywell User Group in The […]
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Every plant in a multi-site network ends up with its own stack: different sensors, dashboards, line apps, and even naming conventions. When you start planning for agentic AI—software that can coordinate and recommend actions across operations—the tempting move is a rip-and-replace. The smarter move is the opposite: standardize signals and require interoperability, then let agents work […]
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Walk into any modern factory and you’ll see walls of dashboards. Vibration graphs, torque curves, temperature plots, even “traffic-light” alarms glowing red or green. It looks sophisticated — until a critical press fails and the line stops anyway.That gap between visualizing and acting on data was the central theme of the panel “Predict, Prevent, Optimize: Real Results from Augmented Industrial […]
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At the Siemens Electronics Factory in Erlangen, Artificial Intelligence is not an experiment—it’s part of everyday production. The facility shows how industrial AI can improve how machines sense, analyze, and act, helping teams turn factory data into measurable results. From assembly to inspection, every dataset contributes to higher process quality, shorter cycles, and smarter energy use.From Connected Data […]
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At the AI Frontiers event, the session “Agentic AI & Integrated Data Workflows: Extracting Value from Existing Manufacturing Systems” drew an engaged audience eager to probe real-world challenges. Their questions cut straight to the heart of manufacturers’ struggles with IIoT and agentic AI — from wrangling messy data to bridging IT/OT divides.Here are five of […]
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Every industrial company is under pressure to “go digital.” But not every investment creates value—and in manufacturing, complexity can spread faster than clarity.According to Amit Khanna, Vice President of Business Excellence at Tata Steel Thailand, the real challenge isn’t adopting digital tools; it’s making sure they lead to meaningful outcomes.The Boardroom Test for Digital ReliabilityAmit Khanna believes […]
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When manufacturers discuss predictive analytics, the focus often jumps straight to machine learning models or AI. But as the panel “Predict, Prevent, Optimize: Real Results from Augmented Industrial Data” made clear, the biggest challenge isn’t the math—it’s the plumbing. Data has to move quickly, cleanly, and at scale. Without that foundation, even the smartest model will […]
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Virtual • Dec 10–11, 2025
Free registration now open — limited tickets!