Andrew Timm

With the new #NX2506 release, managing #NXXManufacturing subscriptions is easier than ever with the help of the all-new Admin Console. 🎯 What's New: - One central hub for all your Siemens SaaS subscriptions - No installation needed – access via browser - Role-based license management - Add/remove users in seconds - Full subscription visibility at your fingertips - Group-based subscriptions for teams Watch the video tech tip to see how simple it is to manage your #digitalmanufacturing environment in a flexible way all from a single interface: https://sie.ag/7721n6

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Most manufacturers I talk to say they’re “data-driven”… until they try to find last month’s quality report or merge machine sensor data with ERP numbers. Then it’s a treasure hunt. 🕵️‍♂️ That’s why a solid Data Management Plan matters. It’s not a fancy binder for IT — it’s the playbook that makes your data work as hard as your production line. Think: • Everyone knows who owns the data and the “rules of the road.” • Your ERP, MES, PLM, and IoT devices actually talk to each other. • Data is accurate, complete, and not living in 12 different spreadsheets. • The right people can access the right info, securely, when they need it. • You keep what you need for compliance… and stop hoarding the rest. • Reports don’t just explain what happened — they help predict what’s next. When you treat data like any other critical resource — with purpose, precision, and constant improvement — it stops being a headache and starts being a competitive advantage. Because in manufacturing, unmanaged data is just… expensive noise.

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o9 Solutions, Inc. has joined the Catena-X community. What is Catena-X? Catena-X is the emerging data-sharing standard for the automotive industry, connecting manufacturers, suppliers, and partners across the entire value chain. Why is it important? It provides a unified framework for transparency and collaboration, enabling the companies in the automotive industry to build more resilient and sustainable supply chains while achieving true end-to-end visibility. This also supports o9 Solutions, Inc.'s broader mission to help organizations close the gap between planning and execution by enabling faster, more aligned decision-making across the value chain. This development builds upon o9's achievement of the Catena-X Demand and Capacity Management (DCM) certification in October 2024, marking a significant step in its commitment to fostering standardized, secure, and collaborative data exchange within the automotive industry. More about it here 👉 https://okt.to/UNcWiD #o9Solutions #CatenaX

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Fragmented product data is the silent killer in industrial innovation. Across PLM, ERP, CAD, and MES systems, critical information lives in disconnected silos. The result? Engineering changes slow down, traceability weakens, and compliance becomes a game of guesswork. At Elevating Patterns GmbH, we don’t offer a patch. We build a continuous digital thread—a graph-based platform that connects every fragment into a coherent whole. This isn’t about adding another system; it’s about making your existing data work as one. If your product data remains scattered, you’re paying a steep price in time and risk. The solution isn’t complexity—it’s clarity through connection. #digitalthread #plm

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Digital transformation is no longer a future ambition. It’s already deciding who moves fast and who gets left explaining why. In The Engineer’s Tech Trends 2026, John Turnbull (EURONORTH MD, Dassault Systèmes) and Morgan Zimmermann (CEO, NETVIBES) cut through the hype to look at how data, Virtual twins and AI are actually being used to drive better decisions, faster innovation and real industrial outcomes. Worth a read if you’re interested in what’s next and what’s already happening. 👉 Read the full article: http://go.3ds.com/2eBA #TechTrends2026 #DigitalTransformation #VirtualTwin #AI #DataIntelligence #DassaultSystèmes #NETVIBES #3DEXPERIENCE

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Manufacturers face growing product complexity and rising demand for customization. A digital thread for configurable products is essential for linking engineering, manufacturing, service, and sales. Join Florian Harzenetter from PTC and Sigrún Ívarsdóttir from Configit in our webinar to learn how Configuration Lifecycle Management (CLM) enhances PTC’s PLM by bridging gaps between teams. Watch the webinar here ➡️ https://okt.to/RlyImV #productcomplexity #PLM #configurationlifecyclemanagement #ptc #webinar

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🔓 Series Kickoff - “Universally Meaningful > Unified: Why Everything Else Ends in Lock-In” Everyone’s chasing a “Unified Namespace” for their manufacturing data. Sounds great�� But when it comes to device data, I simply don’t see it. Unless it’s "Universally Meaningful", you’re not solving any problems — you’re just creating a new kind of vendor lock-in. ---------------------------------------------------------------------------- 🧠 Here's what happens: You define your own internal vocabulary and structure for data from devices. You publish to a single source of truth You collect and store data based on your internal definitions of meaning You and your unifying team understand - but nobody else does Meanwhile, your machines, control systems, and PLCs all seem to speak their own language — each with different names, formats, and meanings for their data. So now you’re stuck with two options: 1. Devices your platform supports: You still have to dig deep to figure out what the data actually means and how to map it— field by field, signal by signal. 2. Devices your platform doesn’t support: You have to build a custom middleware layer just to get to the data and then have an expert translate it. And the system integrator charges the "custom development rate". --------------------------------------------------------------------------------- 🔒 Now you're locked into: Vendors you use to initially define your custom model System integrator who know your namespace The Middleware that only works because it was built just for you The custom development rate that everyone now charges you ----------------------------------------------------------------------------------- 💥 The real-world cost? New machine = new integration project (custom dev rate) New platform = custom translation layer (custom dev rate) External collaboration = learning curve w/ no model to point to Industrial AI at scale = nope - per/device science projects You’ve unified data — but its really now just your silo and vendor lock-in. ------------------------------------------------------------------------------- ✅ The alternative: Define your device/machine data using open, existing standards and by all means publish that into a single source of truth. Design a database model that mirrors the structure of the standard Strictly conform to that standard Force vendors who claim to conform, actually conform Standards can be verified now Trust but verify: - https://validator.tams.ai/ - If it fails, it might not actually be what it claims - If if fails, ask the builder, why? Now anyone — who knows the standard — knows what your data means No custom mappings. No tribal knowledge. No lock-in. No custom development rate. Its no longer custom if its "Universally Meaningful".

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