TTHE TISASep 29 · 13 min readAI in Manufacturing: Smart Factory ApplicationsA bearing on a packaging line starts to wear out on a Tuesday. Vibration creeps up by a fraction, the motor draws slightly more current, and nobody hears anything over the noise of the floor. By Fridathe-tisa-developers.hashnode.dev
MMyData InsightsAug 18 · 8 min readPredictive Maintenance: What Vendors Won't Tell You Vendor PdM demonstrations make it look straightforward. The labelled training data problem, the CMMS integration gap, and the asset selection mistake are what actually determine success or failure. Th1mydatainsights-blogs.hashnode.dev
AAkshay YadavAug 1 · 9 min readPredictive Maintenance for Industrial MachinesProblem Statement A manufacturing plant wants to predict machine failure before it happens using live sensor readings (air/process temperature, rotational speed, torque, and tool wear), so that mainteprojectsoncs.hashnode.dev
MManu ShuklaAug 1 · 13 min readAgentic predictive maintenance in 2026: the ROI, the governance gap, and a factory rollout checklistAgentic predictive maintenance in 2026: the ROI, the governance gap, and a factory rollout checklist Summary. Predictive maintenance forecasts that a bearing will fail; agentic maintenance orders the ecorpit.hashnode.dev
MMyData InsightsJul 31 · 9 min readPredictive Maintenance: What Works vs. What Gets Sold Unplanned downtime costs US manufacturers an estimated $50 billion a year (Deloitte / Aberdeen). Predictive maintenance can cut that — but the gap between vendor claims and shop-floor reality is signimydatainsights-blogs.hashnode.dev
MMyData InsightsJul 22 · 10 min readQuality Analytics: From Pass/Fail to Root Cause Intelligence Quality failures cost manufacturers 15–20% of revenue annually. Pass/fail reporting tells you what happened. Root cause analytics tells you why — and how to prevent it. The bottom line Pass/fail repomydatainsights-blogs.hashnode.dev
MManu ShuklaJul 15 · 17 min readManufacturing AI in 2026: downtime at $2.3M an hour and what to automate firstManufacturing AI in 2026: downtime at $2.3M an hour and what to automate first Summary. The most-quoted number in factory AI is Siemens' finding that an hour of unplanned downtime costs a large automoecorpit.hashnode.dev
MMyData InsightsJul 10 · 10 min readMicrosoft Fabric in a Live Manufacturing Estate Microsoft Fabric in a slide deck looks like a data platform. Microsoft Fabric in a live manufacturing estate looks different — it is the OEE alert that pages maintenance at 2am, the quality hold that mydatainsights-blogs.hashnode.dev
OOmnithiumJun 29 · 19 min readAgentic AI in Manufacturing: From Predictive Maintenance to Autonomous OperationsYou've spent three years wiring up every critical asset with vibration sensors, thermography, and oil analysis. Your CMMS spits out work orders the moment a bearing's RMS velocity crosses a threshold.omnithium.hashnode.dev
CCheryl D MahaffeyMay 4 · 4 min readAI-Driven Predictive Maintenance: Transforming Industrial Equipment LifecycleIn industrial equipment manufacturing, unplanned downtime remains one of the most costly operational challenges. A single production line failure can cascade into millions in lost revenue, missed delivery commitments, and damaged customer relationshi...technoai.hashnode.dev
