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    <title>PlantPulse® News &amp; Resources</title>
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    <description>News, insights and case studies from PlantPulse, the industrial AX data infrastructure</description>
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      <title>G1 vs Generational ZGC on a Time-Series Cassandra — A 100-Million-Row Benchmark</title>
      <link>https://kopens.com/resources/cassandra-timeseries-g1-vs-generational-zgc/</link>
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      <pubDate>Thu, 30 Jul 2026 13:56:11 GMT</pubDate>
      <description>We loaded 100M rows into our Cassandra-based time-series DB and ran 17 queries under both collectors. ZGC won all 17 — 20–50% faster on aggregate reads. The numbers, the why, and the honest caveats.</description>
    </item>
    <item>
      <title>Why Industrial IoT Runs on Cassandra — and Why We Built Our Own</title>
      <link>https://kopens.com/resources/cassandra-industrial-iot-why-and-how-we-built-our-own/</link>
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      <pubDate>Thu, 30 Jul 2026 13:39:44 GMT</pubDate>
      <description>Why general-purpose databases collapse under write-heavy telemetry at tens of thousands of points per second, why industry standardized on Apache Cassandra — and why 'just Cassandra' was not enough, so KOPENS built its own time-series engine on top. With public evidence and field-measured numbers.</description>
    </item>
    <item>
      <title>Tag Intelligence — Diagnosis Changes When AI Knows What Every Tag Means</title>
      <link>https://kopens.com/resources/tag-intelligence-ai-that-knows-your-tags/</link>
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      <pubDate>Sun, 26 Jul 2026 23:07:22 GMT</pubDate>
      <description>Diagnosis quality is decided not by the model but by whether the system knows what each tag means. This article explains how PlantPulse AI's Tag Intelligence is actually built: statistical profiling, one LLM meaning-card call per equipment unit, and confidence-graded injection that refuses to invent what it does not know.</description>
    </item>
    <item>
      <title>A Complete Guide to Industrial DataOps — From Tag Hell to the Unified Namespace</title>
      <link>https://kopens.com/resources/industrial-dataops-complete-guide/</link>
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      <pubDate>Sat, 25 Jul 2026 23:12:18 GMT</pubDate>
      <description>Everything you need to evaluate Industrial DataOps in one guide: definition, the four-layer architecture, the UNS, a four-stage maturity model, an eight-step implementation playbook, and a solution checklist.</description>
    </item>
    <item>
      <title>Hanwha Engine — Commissioning Measurement Data Collection &amp; Monitoring</title>
      <link>https://kopens.com/news/hanwha-engine-commissioning-data-monitoring/</link>
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      <pubDate>Fri, 24 Jul 2026 21:10:19 GMT</pubDate>
      <description>KOPENS delivered a commissioning (trial-run) measurement data collection and monitoring system for Hanwha Engine.</description>
    </item>
    <item>
      <title>Lotte Fine Chemical — Climate-Control Unit Alarm System</title>
      <link>https://kopens.com/news/lotte-fine-chemical-climate-alarm/</link>
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      <pubDate>Fri, 24 Jul 2026 20:33:14 GMT</pubDate>
      <description>KOPENS delivered a climate-control (constant temperature &amp; humidity) unit alarm system for Lotte Fine Chemical.</description>
    </item>
    <item>
      <title>PlantPulse AI to Support NVIDIA DGX Station — On-Site AI Inference, Dramatically Faster</title>
      <link>https://kopens.com/news/plantpulse-ai-nvidia-dgx-station/</link>
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      <pubDate>Wed, 22 Jul 2026 18:37:13 GMT</pubDate>
      <description>PlantPulse AI is preparing an on-premises version for NVIDIA DGX Station (GB300, 20 petaFLOPS, 748 GB). The Time-Series Insight Server, RAG and copilot all accelerate, making on-site AI inference dramatically faster — with the cost advantage to match.</description>
    </item>
    <item>
      <title>A Digital Twin Is Only as Real as Its Data</title>
      <link>https://kopens.com/resources/digital-twin-needs-live-data/</link>
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      <pubDate>Wed, 22 Jul 2026 18:27:54 GMT</pubDate>
      <description>A digital twin without live data is just an elaborate 3D drawing. The three kinds of data that keep a twin alive, and why data infrastructure comes before the 3D model.</description>
    </item>
    <item>
      <title>Kafka and Manufacturing Sensor Data — A Spine Isn't Enough</title>
      <link>https://kopens.com/resources/kafka-manufacturing-sensor-data/</link>
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      <pubDate>Wed, 22 Jul 2026 18:08:08 GMT</pubDate>
      <description>Kafka is the great artery of manufacturing data, but getting data out of equipment, storing it, and judging it aren't Kafka's jobs. What the industrial acquisition, time-series storage and real-time layers before and after Kafka must provide.</description>
    </item>
    <item>
      <title>Predictive Maintenance Starts With Data, Not Sensors</title>
      <link>https://kopens.com/resources/predictive-maintenance-starts-with-data/</link>
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      <pubDate>Wed, 22 Jul 2026 17:48:57 GMT</pubDate>
      <description>Bolting on a vibration sensor doesn't give you predictive maintenance. Predicting failures requires accumulated data with baseline, trend and context — the three stages of maintenance, what to collect, and how to manage by metrics.</description>
    </item>
    <item>
      <title>Manufacturing AI Needs an IIoT Backbone</title>
      <link>https://kopens.com/resources/manufacturing-ai-needs-iiot/</link>
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      <pubDate>Wed, 22 Jul 2026 17:18:19 GMT</pubDate>
      <description>AI is the brain, IIoT is the nervous system. Just as a brain does nothing without nerves, manufacturing AI fails without an IIoT backbone — three ways AI collapses without it, and what a good backbone requires.</description>
    </item>
    <item>
      <title>Why Sensor Data Collection Decides Physical AI</title>
      <link>https://kopens.com/resources/physical-ai-sensor-data/</link>
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      <pubDate>Wed, 22 Jul 2026 15:01:03 GMT</pubDate>
      <description>Training, perception and judgment in physical AI all run on sensor data. You can buy robots, but you can't buy your plant's data history — four quality conditions to meet before the robots arrive.</description>
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    <item>
      <title>Is Your Factory Ready for Physical AI?</title>
      <link>https://kopens.com/resources/physical-ai-ready-factory/</link>
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      <pubDate>Tue, 21 Jul 2026 18:37:06 GMT</pubDate>
      <description>Robots can't read paper logs. Success with physical AI is decided by your plant's data infrastructure, not the robot's spec sheet — five marks of a ready factory, and why the investment pays back early.</description>
    </item>
    <item>
      <title>Why Korean Manufacturing Needs OEE Now</title>
      <link>https://kopens.com/resources/why-korean-manufacturing-needs-oee/</link>
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      <pubDate>Tue, 21 Jul 2026 18:27:31 GMT</pubDate>
      <description>90% utilization is an illusion. With labor shortages, high-mix production and cost pressure converging, OEE is how you recover capacity without capital expansion — starting from just three signals.</description>
    </item>
    <item>
      <title>Want Manufacturing AI? Start by Collecting Your Data</title>
      <link>https://kopens.com/resources/manufacturing-ai-data-first/</link>
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      <pubDate>Tue, 21 Jul 2026 14:52:23 GMT</pubDate>
      <description>The bottleneck in manufacturing AI is not the algorithm — it's the data. Why PoCs keep failing, the four kinds of data to collect, and a realistic six-month roadmap.</description>
    </item>
    <item>
      <title>Lotte Chilsung Beverage — Real-Time OEE System</title>
      <link>https://kopens.com/news/lotte-chilsung-realtime-oee/</link>
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      <pubDate>Mon, 20 Jul 2026 08:34:38 GMT</pubDate>
      <description>KOPENS delivered a real-time OEE system for Lotte Chilsung Beverage.</description>
    </item>
    <item>
      <title>Lotte Fine Chemical — Alarm Management System</title>
      <link>https://kopens.com/news/lotte-fine-chemical-alarm-management/</link>
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      <pubDate>Mon, 20 Jul 2026 08:19:05 GMT</pubDate>
      <description>KOPENS delivered an alarm management system for Lotte Fine Chemical.</description>
    </item>
    <item>
      <title>Hanwha Aerospace — Bringing LS Division Navigation Systems Online</title>
      <link>https://kopens.com/news/hanwha-aerospace-ls-navigation-online/</link>
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      <pubDate>Mon, 20 Jul 2026 08:19:03 GMT</pubDate>
      <description>KOPENS delivered an online monitoring system for navigation equipment at Hanwha Aerospace's LS division.</description>
    </item>
    <item>
      <title>Logistics Center OT Architecture — Layers and Best Practices, from PLC to WMS</title>
      <link>https://kopens.com/resources/logistics-center-ot-architecture-best-practices/</link>
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      <pubDate>Sun, 19 Jul 2026 23:56:51 GMT</pubDate>
      <description>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.</description>
    </item>
    <item>
      <title>Physical AI in Manufacturing — When AI Steps Off the Screen and Moves the Factory</title>
      <link>https://kopens.com/resources/physical-ai-manufacturing/</link>
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      <pubDate>Sun, 19 Jul 2026 19:05:54 GMT</pubDate>
      <description>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.</description>
    </item>
    <item>
      <title>Post-Quantum Cryptography, AI, and Blockchain — How to Read the Future Factory Tech Stack</title>
      <link>https://kopens.com/resources/quantum-safe-ai-iiot-future-factories/</link>
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      <pubDate>Sun, 19 Jul 2026 17:41:55 GMT</pubDate>
      <description>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.</description>
    </item>
    <item>
      <title>Smart Factory on a Budget — A Practical Roadmap for SME Manufacturers (From PLC and HMI to IIoT)</title>
      <link>https://kopens.com/resources/sme-smart-factory-budget-roadmap/</link>
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      <pubDate>Sun, 19 Jul 2026 17:41:55 GMT</pubDate>
      <description>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.</description>
    </item>
    <item>
      <title>How to Evaluate UNS, OPC UA, and IIoT Architecture in Practice</title>
      <link>https://kopens.com/resources/evaluating-uns-opcua-iiot-architecture/</link>
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      <pubDate>Sun, 19 Jul 2026 17:39:42 GMT</pubDate>
      <description>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.</description>
    </item>
    <item>
      <title>The Gap Between IIoT Sensor Data and AI Training Data — The Real Factory AI Problem Nobody Names</title>
      <link>https://kopens.com/resources/iiot-sensor-data-training-gap/</link>
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      <pubDate>Sun, 19 Jul 2026 17:38:45 GMT</pubDate>
      <description>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.</description>
    </item>
    <item>
      <title>12 Data Architecture Patterns for 2026 — How to Read Them from the Factory Floor</title>
      <link>https://kopens.com/resources/data-architecture-patterns-2026/</link>
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      <pubDate>Sun, 19 Jul 2026 17:34:16 GMT</pubDate>
      <description>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?</description>
    </item>
    <item>
      <title>Announcing the Renewed KOPENS Website</title>
      <link>https://kopens.com/news/plantpulse-io-website-launch/</link>
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      <pubDate>Sun, 19 Jul 2026 16:02:53 GMT</pubDate>
      <description>The KOPENS website has been given a fresh new look. With a new design and an improved menu structure, you can now explore our industrial AI and IIoT platform and solution information more easily.</description>
    </item>
    <item>
      <title>Hanwha Ocean - KOPENS Wins High-Volume OT Data Pipeline Project</title>
      <link>https://kopens.com/news/hanwha-ocean-ot-pipeline-win/</link>
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      <pubDate>Mon, 13 Jul 2026 07:07:09 GMT</pubDate>
      <description>KOPENS has been selected to deliver Hanwha Ocean's high-volume OT data pipeline project.</description>
    </item>
    <item>
      <title>Beyond the Purdue Model — A New Architecture for OT/IT Convergence</title>
      <link>https://kopens.com/resources/beyond-purdue-model-ot-it-architecture/</link>
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      <pubDate>Mon, 13 Jul 2026 00:25:53 GMT</pubDate>
      <description>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.</description>
    </item>
    <item>
      <title>Industrial Carbon Data — How CBAM Is Reshaping Manufacturing Emissions Management</title>
      <link>https://kopens.com/resources/industrial-carbon-data-cbam-emissions/</link>
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      <pubDate>Mon, 06 Jul 2026 00:16:05 GMT</pubDate>
      <description>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.</description>
    </item>
    <item>
      <title>Why Does Manufacturing Data Standardization Matter?</title>
      <link>https://kopens.com/resources/why-manufacturing-data-standardization-matters/</link>
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      <pubDate>Wed, 01 Jul 2026 08:26:42 GMT</pubDate>
      <description>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.</description>
    </item>
    <item>
      <title>The Digital Twin Lineage — NASA, GE, Siemens</title>
      <link>https://kopens.com/resources/digital-twin-lineage-nasa-ge-siemens/</link>
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      <pubDate>Wed, 01 Jul 2026 08:03:18 GMT</pubDate>
      <description>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.</description>
    </item>
    <item>
      <title>What Is an AI-Ready Manufacturing Data Platform?</title>
      <link>https://kopens.com/resources/ai-ready-manufacturing-data-platform/</link>
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      <pubDate>Wed, 01 Jul 2026 07:58:43 GMT</pubDate>
      <description>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.</description>
    </item>
    <item>
      <title>Industrial Cybersecurity 2026 — The Era of IEC 62443 and NIS2</title>
      <link>https://kopens.com/resources/industrial-cybersecurity-2026-iec-62443-nis2-era/</link>
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      <pubDate>Wed, 01 Jul 2026 07:54:53 GMT</pubDate>
      <description>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.</description>
    </item>
    <item>
      <title>Data Mesh and Manufacturing — The Era of Domain Data Products</title>
      <link>https://kopens.com/resources/data-mesh-manufacturing-domain-data-products/</link>
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      <pubDate>Wed, 01 Jul 2026 07:51:21 GMT</pubDate>
      <description>As the Data Mesh architecture proposed by Zhamak Dehghani reaches manufacturing, the era of domain data products is opening.</description>
    </item>
    <item>
      <title>Industrial Agentic AI — How to Make Manufacturing Operations Autonomous</title>
      <link>https://kopens.com/resources/industrial-agentic-ai-autonomous-operations/</link>
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      <pubDate>Mon, 29 Jun 2026 00:13:37 GMT</pubDate>
      <description>Copilots give answers, but agents take action. An overview of industrial agentic AI, which in 2026 has entered the decision loop of manufacturing operations.</description>
    </item>
    <item>
      <title>Smart Factory Demo Plant Built for the Korea Electrotechnology Research Institute (KERI)</title>
      <link>https://kopens.com/news/keri-smart-factory-demo-plant/</link>
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      <pubDate>Sun, 28 Jun 2026 15:47:04 GMT</pubDate>
      <description>KOPENS built an industrial data platform for the smart factory demo plant at the Korea Electrotechnology Research Institute (KERI).</description>
    </item>
    <item>
      <title>MQTT Sparkplug B — The Common Language of Manufacturing Data</title>
      <link>https://kopens.com/resources/mqtt-sparkplug-b-common-language/</link>
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      <pubDate>Mon, 22 Jun 2026 00:30:02 GMT</pubDate>
      <description>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.</description>
    </item>
    <item>
      <title>Manufacturing AI Governance — How the EU AI Act Is Changing Operations</title>
      <link>https://kopens.com/resources/manufacturing-ai-governance-eu-ai-act/</link>
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      <pubDate>Mon, 08 Jun 2026 00:14:53 GMT</pubDate>
      <description>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.</description>
    </item>
    <item>
      <title>Industrial Data Mesh — How Distributed Domains Are Changing Manufacturing</title>
      <link>https://kopens.com/resources/industrial-data-mesh-distributed-domains/</link>
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      <pubDate>Mon, 01 Jun 2026 01:14:56 GMT</pubDate>
      <description>Data mesh is not a technology but an organizational operating model. We examine how distributed domain ownership is changing manufacturing data architecture.</description>
    </item>
    <item>
      <title>OT Cybersecurity — How IEC 62443 and NIS2 Are Reshaping Manufacturing</title>
      <link>https://kopens.com/resources/ot-cybersecurity-iec-62443-nis2/</link>
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      <pubDate>Sun, 31 May 2026 20:38:27 GMT</pubDate>
      <description>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.</description>
    </item>
    <item>
      <title>Industrial Time-Series Databases — What the 2026 Benchmarks Really Tell Us</title>
      <link>https://kopens.com/resources/industrial-timeseries-db-2026-benchmark/</link>
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      <pubDate>Fri, 22 May 2026 02:01:18 GMT</pubDate>
      <description>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.</description>
    </item>
    <item>
      <title>Industrial RAG — How to Connect Plant-Floor Knowledge to LLMs</title>
      <link>https://kopens.com/resources/industrial-rag-connecting-plant-knowledge-to-llm/</link>
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      <pubDate>Fri, 22 May 2026 01:57:20 GMT</pubDate>
      <description>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.</description>
    </item>
    <item>
      <title>Edge AI 2025 — The New Era of Jetson Orin and K3s</title>
      <link>https://kopens.com/resources/edge-ai-2025-jetson-orin-k3s/</link>
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      <pubDate>Fri, 22 May 2026 01:53:25 GMT</pubDate>
      <description>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.</description>
    </item>
    <item>
      <title>Industrial MLOps — How Models Survive in Production</title>
      <link>https://kopens.com/resources/industrial-mlops-surviving-production/</link>
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      <pubDate>Fri, 22 May 2026 01:49:38 GMT</pubDate>
      <description>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.</description>
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    <item>
      <title>Unified Namespace — Industrial Data Beyond ISA-95</title>
      <link>https://kopens.com/resources/unified-namespace-beyond-isa95/</link>
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      <pubDate>Fri, 22 May 2026 01:45:03 GMT</pubDate>
      <description>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.</description>
    </item>
    <item>
      <title>Digital Twins, Hype vs. Reality — What Actually Works</title>
      <link>https://kopens.com/resources/digital-twin-hype-vs-reality/</link>
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      <pubDate>Thu, 21 May 2026 08:16:18 GMT</pubDate>
      <description>Digital twins have been billed as manufacturing's next paradigm for nearly a decade, yet few cases have proven business value in actual operations. This post examines what is hype and what actually works.</description>
    </item>
    <item>
      <title>OPC UA — Why It Became the De Facto Standard for Industrial Integration</title>
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      <pubDate>Thu, 21 May 2026 08:13:19 GMT</pubDate>
      <description>In global manufacturing, OPC UA is no longer one option among many — it has established itself as the de facto standard for industrial integration. This article covers the background, the architecture, and adoption strategy.</description>
    </item>
    <item>
      <title>Smart Manufacturing Innovation Driven by Manufacturing Data and AI</title>
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      <pubDate>Tue, 17 Mar 2026 02:27:10 GMT</pubDate>
      <description>As digital transformation spreads, the center of manufacturing innovation is shifting from automation and production efficiency to data and artificial intelligence (AI). This post outlines the smart manufacturing innovation that manufacturing data and AI are creating.</description>
    </item>
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      <title>Changwon Selected for the AX Demonstration Industrial Complex Project</title>
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      <pubDate>Fri, 16 Jan 2026 09:13:54 GMT</pubDate>
      <description>Changwon City has been selected for the AX Demonstration Industrial Complex Project, a core initiative of the Ministry of Trade and Industry's Smart Green Industrial Complex promotion program, setting the Changwon National Industrial Complex on course to become a national hub for AI-driven manufacturing innovation.</description>
    </item>
    <item>
      <title>Optimizing AI Processing on Edge Devices</title>
      <link>https://kopens.com/resources/optimizing-ai-on-edge-devices/</link>
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      <pubDate>Sat, 28 Dec 2024 14:37:37 GMT</pubDate>
      <description>Edge computing overcomes latency by processing data on the device instead of sending it to the cloud. This post covers how to optimize AI processing on edge devices.</description>
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