R Resources
Insights & Library
Insights on manufacturing data and AI, proven case studies, and product documentation — all in one place.
White Paper
The Industrial AX Data Infrastructure Guide
A five-stage roadmap from connectivity to AI — download the manufacturing data infrastructure white paper, free.
A Insights
Logistics Center OT Architecture — Layers and Best Practices, from PLC to WMS
We dissect the logistics center OT stack — where conveyors, sorters, and AMRs intertwine — into four layers (equipment, WCS, WES, WMS) and lay out five best practices covering integration, standards, metrics, predictive maintenance, and security.
Read morePhysical AI in Manufacturing — When AI Steps Off the Screen and Moves the Factory
Beyond chatbots and copilots, Physical AI — AI that directly moves robots, equipment, and logistics — is emerging as manufacturing's next battleground. We examine world models, digital twins, and the prerequisite they all share: a real-time plant data infrastructure.
Read moreSmart Factory on a Budget — A Practical Roadmap for SME Manufacturers (From PLC and HMI to IIoT)
Large-enterprise smart factory blueprints do not fit small and mid-sized manufacturers. This post lays out a realistic four-stage roadmap that climbs with stage-by-stage ROI — starting from a single pilot line, with no equipment replacement.
Read morePost-Quantum Cryptography, AI, and Blockchain — How to Read the Future Factory Tech Stack
From post-quantum cryptography (PQC) to agentic AI and blockchain-backed traceability — we break down the technologies of the future-factory discourse without the hype, separating what to prepare now from what to keep watching.
Read moreHow to Evaluate UNS, OPC UA, and IIoT Architecture in Practice
What should you ask to evaluate an IIoT architecture by field-tested criteria rather than vendor slides? From the distinct roles of OPC UA and the UNS to eight practical evaluation axes and a checklist.
Read moreThe Gap Between IIoT Sensor Data and AI Training Data — The Real Factory AI Problem Nobody Names
Factories are overflowing with data, so why do AI projects stall for lack of training data? We break down the six gaps that keep sensor data from becoming training data, and how to close them starting at the collection stage.
Read more12 Data Architecture Patterns for 2026 — How to Read Them from the Factory Floor
We reread the 12 architecture patterns that circulate as standards in data engineering, this time from the perspective of manufacturing and industrial data. Which patterns actually hold up for factory data?
Read moreBeyond the Purdue Model — A New Architecture for OT/IT Convergence
The Purdue model remains a useful reference architecture, but problems arise when it is mistaken for a physical boundary. A look at the new architecture for the era of OT/IT convergence.
Read moreIndustrial Carbon Data — How CBAM Is Reshaping Manufacturing Emissions Management
With the EU Carbon Border Adjustment Mechanism (CBAM) entering full force in January 2026, managing manufacturing emissions data has become a matter of competitiveness. This article covers strategies for managing industrial carbon data.
Read moreWhy Does Manufacturing Data Standardization Matter?
With the regulatory landscape shifting — including the EU Data Act entering into force in September 2025 — manufacturing data standardization is no longer optional but essential. This post lays out why standardization matters.
Read moreThe Digital Twin Lineage — NASA, GE, Siemens
The digital twin is often presented as the latest technology, but the concept's roots go back more than 20 years. This article traces the digital twin lineage from NASA through GE to Siemens.
Read moreWhat Is an AI-Ready Manufacturing Data Platform?
AI Ready means data AI can understand, not just data that runs AI. This article covers what it takes for a manufacturing data platform to be AI Ready.
Read moreB Case Studies
Lotte Chilsung Beverage — real-time OEE system
Real-time OEE calculation and monitoring from availability, performance, and quality data on beverage lines.
Read moreHanwha Ocean — large-scale OT data pipeline
A real-time pipeline for large-scale OT data from shipyards.
Read moreSelected to build an AX pilot industrial complex
Chosen as the implementer for an industrial digital transformation pilot complex.
Read moreSee it live on real operating screens
A 15-minute demo walks you from ingest to AI. Check the fit for your plant with an expert, right away.