R Resources
Insights & Library
Insights on manufacturing data and AI, proven case studies, and product documentation — all in one place.
A Insights
Industrial Cybersecurity 2026 — The Era of IEC 62443 and NIS2
In 2025, 60% of organizations experienced an OT security incident, yet only 52% have dedicated monitoring in place. An outlook on industrial cybersecurity in 2026, the era of IEC 62443 and NIS2.
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Data Mesh and Manufacturing — The Era of Domain Data Products
As the Data Mesh architecture proposed by Zhamak Dehghani reaches manufacturing, the era of domain data products is opening.
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Industrial Agentic AI — How to Make Manufacturing Operations Autonomous
Copilots give answers, but agents take action. An overview of industrial agentic AI, which in 2026 has entered the decision loop of manufacturing operations.
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MQTT Sparkplug B — The Common Language of Manufacturing Data
The Eclipse Sparkplug 3.0 specification has become a formal international standard as ISO/IEC 20237. This article traces how MQTT Sparkplug B is becoming the common language of manufacturing data.
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Manufacturing AI Governance — How the EU AI Act Is Changing Operations
The EU AI Act's high-risk AI system provisions begin to apply in August 2026. An analysis of how manufacturing AI governance affects operations.
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Industrial Data Mesh — How Distributed Domains Are Changing Manufacturing
Data mesh is not a technology but an organizational operating model. We examine how distributed domain ownership is changing manufacturing data architecture.
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OT Cybersecurity — How IEC 62443 and NIS2 Are Reshaping Manufacturing
Manufacturing accounted for more than two-thirds of industrial ransomware victims in 2025. This article maps the OT cybersecurity landscape being reshaped by IEC 62443 and NIS2.
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Industrial Time-Series Databases — What the 2026 Benchmarks Really Tell Us
The choice of an industrial time-series database determines migration costs for years to come. An analysis of the realities of industrial TSDBs, centered on the 2026 benchmark results.
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Industrial RAG — How to Connect Plant-Floor Knowledge to LLMs
The central issue for enterprise LLMs has shifted from bigger models to how to connect an organization's knowledge to the LLM. This article covers industrial RAG, which connects plant-floor knowledge to LLMs.
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Edge AI 2025 — The New Era of Jetson Orin and K3s
Gartner forecasts that by 2026, 75% of enterprise data will be generated and processed at the edge. Here is an overview of the new era of Edge AI, led by Jetson Orin and K3s.
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Industrial MLOps — How Models Survive in Production
67% of what takes industrial AI models out of production is data quality, not algorithmic defects. This post covers Industrial MLOps strategies for helping models survive the production stage on the factory floor.
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Unified Namespace — Industrial Data Beyond ISA-95
The Unified Namespace (UNS), popularized by Walker Reynolds, is a shift in operating philosophy that unifies industrial data into a single namespace, moving beyond the ISA-95 layered model.
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