May 4 · 5 min read · Starting an AI-driven predictive maintenance program can feel overwhelming. Between selecting the right assets, collecting quality data, choosing algorithms, and gaining organizational buy-in, many teams struggle to move beyond proof-of-concept pilot...
Join discussionMar 5 · 3 min read · MQTT is the backbone of modern IoT communication. It's lightweight, efficient, and perfect for devices with limited resources. In this guide, we'll walk through connecting your first device using MQTT and Iotellect — a low-code IoT platform that make...
Join discussionJan 9 · 1 min read · The Tablet Press Machine from Karnavati Engineering (Rimek brand) is a high-precision compression system designed to convert powders and granules into uniform tablets for pharmaceutical, nutraceutical, veterinary, food & confectionery, chemical and i...
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Dec 16, 2025 · 4 min read · The Industrial Internet of Things (IIoT) continues to reshape the global industrial landscape as organizations race toward digital transformation, automation, and data-driven efficiency. According to QKS Group, the Industrial Internet of Things Platf...
Join discussionDec 14, 2025 · 3 min read · 1. Introduction: Why Intelligence Alone Is Not Enough Advanced analytics and predictive models often dominate discussions around industrial digitalization. However, in real factory environments, intelligence without reliability introduces operational...
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Dec 4, 2025 · 4 min read · 1. Background: From Fragmented Logs to Causal Insights After architecting the core data pipeline—aggregating cycles, downtime, operator sessions, and shift KPIs (as covered in Blog 13)—we faced a challenge familiar to anyone working in industrial IoT...
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Dec 3, 2025 · 5 min read · After building machine-level analytics in Blog #12, I hit the next major problem developers face in industrial systems: Machine data is granular. Factory decisions are not.Production managers don’t want 400 spindle events — they want answers for Shi...
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Dec 1, 2025 · 10 min read · The call came at 5:14 AM. A bearing on production line 7 had failed, and the plant manager wanted to know why our "predictive maintenance system" hadn't caught it. I spent the next four hours tracing data from the dashboard back through our pipelines...
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Dec 2, 2025 · 4 min read · How I transformed raw CNC machine events into utilization metrics, downtime insights, performance dashboards, and predictive indicators. Introduction — When Clean Data Isn’t Enough Anymore After fixing signal noise, stabilizing PLC inputs, and build...
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