DataDrivenConstruction

🚪 𝗪𝗵𝘆 𝗕𝗜𝗠 𝗮𝗻𝗱 𝗜𝗙𝗖 𝗮𝗿𝗲 𝗹𝗼𝘀𝗶𝗻𝗴 𝗿𝗲𝗹𝗲𝘃𝗮𝗻𝗰𝗲 𝗮𝗻𝗱 𝘄𝗵𝗮𝘁 𝘄𝗶𝗹𝗹 𝗿𝗲𝗽𝗹𝗮𝗰𝗲 𝘁𝗵𝗲𝗺: 𝘁𝗵𝗲 𝗶𝗻𝗲𝘃𝗶𝘁𝗮𝗯𝗹𝗲 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 𝗼𝗳 𝘁𝗵𝗲 𝗰𝗼𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝘆 While CAD revolutionized design, and BIM (along with IFC) promised better integration, both ended up resulting in a fragmented set of tools tied to the ecosystems of individual CAD vendors and geometric cores, rather than truly interoperable solutions. 💬 𝗔𝗻 𝗘𝗿𝗮 𝗼𝗳 𝗖𝗵𝗮𝗻𝗴𝗲: 𝗜𝗙𝗖 𝗶𝘀 𝗮 𝘁𝗵𝗶𝗻𝗴 𝗼𝗳 𝘁𝗵𝗲 𝗽𝗮𝘀𝘁 𝗼𝗿 𝘄𝗵𝘆 𝗔𝘂𝘁𝗼𝗱𝗲𝘀𝗸 𝗮𝗻𝗱 𝗼𝘁𝗵𝗲𝗿 𝗖𝗔𝗗 𝘃𝗲𝗻𝗱𝗼𝗿𝘀 𝗮𝗿𝗲 𝘄𝗶𝗹𝗹𝗶𝗻𝗴 𝘁𝗼 𝗴𝗶𝘃𝗲 𝘂𝗽 𝗜𝗙𝗖 𝗳𝗼𝗿 𝗨𝗦𝗗 𝗶𝗻 𝟭𝟰 𝗸𝗲𝘆 𝗳𝗮𝗰𝘁𝘀” 🔗 https://lnkd.in/eCaq7nQ9 ◾️ Transition to the use of granular data that allows for efficient information management and a shift to data analytics ◾️ Emergence of USD format and implementation of Entity-component-system (ECS) approach for flexible data organization ◾️ Active use of artificial intelligence and LLM in data processing, process automation and data analytics ◾️ Development of interoperability - improved interaction between different programs, systems and databases 💬 𝗧𝗵𝗲 𝗪𝗼𝗿𝗹𝗱 𝗔𝗳𝘁𝗲𝗿 𝗕𝗜𝗠: 𝗧𝗵𝗲 𝗧𝗿𝗮𝗻𝘀𝗶𝘁𝗶𝗼𝗻 𝘁𝗼 𝗗𝗮𝘁𝗮 𝗮𝗻𝗱 𝗣𝗿𝗼𝗰𝗲𝘀𝘀𝗲𝘀 🔗 https://lnkd.in/eueRu5vg ▪️ How proprietary BREP, semantics, and API access inhibit performance ▪️ Why formats like IFC and USD still can't solve interoperability issues. ▪️ The growing realization that open, flat data formats could be the key to freeing up our workflows. 📊 The construction industry has embarked on an inevitable transformation, moving from manual management to data-driven decision making. Just as the automotive and software industries have moved to smaller and more interoperable systems, formats and concepts, we will inevitably throw off the shackles of outdated approaches imposed on us by CAD vendors. Interoperability and data access are not just buzzwords, they are the key to the survival of construction and design companies in an era of open solutions and processes. This is the beginning of a discussion about industry transformation. Only by solving data access issues can we move on to exploring business processes and automating them. 💫 Feel free to share your thoughts!

𝐓𝐡𝐞 𝐩𝐨𝐬𝐭-𝐁𝐈𝐌 𝐰𝐨𝐫𝐥𝐝. 𝐓𝐫𝐚𝐧𝐬𝐢𝐭𝐢𝐨𝐧 𝐭𝐨 𝐝𝐚𝐭𝐚 𝐚𝐧𝐝 𝐩𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐬 𝐚𝐧𝐝 𝐰𝐡𝐞𝐭𝐡𝐞𝐫 𝐭𝐡𝐞 𝐜𝐨𝐧𝐬𝐭𝐫𝐮𝐜𝐭𝐢𝐨𝐧 𝐢𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐧𝐞𝐞𝐝𝐬 𝐬𝐞𝐦𝐚𝐧𝐭𝐢𝐜𝐬, 𝐟𝐨𝐫𝐦𝐚𝐭𝐬 𝐚𝐧𝐝 𝐢𝐧𝐭𝐞𝐫𝐨𝐩𝐞𝐫𝐚𝐛𝐢𝐥𝐢𝐭𝐲 Like any innovation, they are not the end point of development. Concepts like BIM have become an important milestone in the history of the construction industry, 𝗯𝘂𝘁 𝘀𝗼𝗼𝗻𝗲𝗿 𝗼𝗿 𝗹𝗮𝘁𝗲𝗿 𝘁𝗵𝗲𝘆 𝘄𝗶𝗹𝗹 𝗴𝗶𝘃𝗲 𝘄𝗮𝘆 𝘁𝗼 𝗯𝗲𝘁𝘁𝗲𝗿 𝘁𝗼𝗼𝗹𝘀 𝗮𝗻𝗱 𝗮𝗽𝗽𝗿𝗼𝗮𝗰𝗵𝗲𝘀 that will better meet the challenges of the future. ✨ Overwhelmed by the influence of CAD vendors and confused by the complexities of its own implementation, the BIM concept that emerged in 2002 may well not live to see its thirtieth birthday, like a rock star that flashed brightly but quickly faded away. The reason is simple: the 𝗱𝗲𝗺𝗮𝗻𝗱𝘀 𝗼𝗳 𝗱𝗮𝘁𝗮 𝘀𝗰𝗶𝗲𝗻𝘁𝗶𝘀𝘁𝘀 𝗮𝗿𝗲 𝗰𝗵𝗮𝗻𝗴𝗶𝗻𝗴 𝗳𝗮𝘀𝘁𝗲𝗿 𝘁𝗵𝗮𝗻 𝗖𝗔𝗗 𝘃𝗲𝗻𝗱𝗼𝗿𝘀 𝗰𝗮𝗻 𝗮𝗱𝗮𝗽𝘁 𝘁𝗼 𝘁𝗵𝗲𝗺. 📋 In this article we will look at both the existing BIM framework, including the use of CAD (BIM), IFC and USD formats, and alternative and future approaches to working with data and processes, and answer key questions that are of interest to data professionals in the construction industry today: ▪️ What is BIM — marketing or real innovation for the construction industry ▪️ Why CAD formats are killing interoperability and the concept of BIM ▪️ USD vs. IFC: why do vendors impose new formats? ▪️ Why new formats from CAD vendors IFC and USD do not solve key interoperability problems ▪️ Why are CAD vendors abandoning files and moving to granular data starting in 2023? ▪️ Why parametric CAD formats and BREP geometry are not essential for the construction industry ▪️ How Strabag and Züblin challenged CAD vendors and what came out of it ▪️ Why the use of semantics and ontologies in data management falls short. ▪️ Why construction businesses will oppose the use of open data ▪️ And what are the tools of the future for dealing with construction project data 📈 Open data and formats will inevitably become a standard in the construction industry — it’s just a matter of time. This transition will be accelerated if we all spread the word about open formats, database access tools and SDKs for reverse engineering. Each and every one of you can help in this process. 👋 If you find the information you read useful, please share it with your colleagues. I would appreciate your comments and opinions! If any facts and sources raise questions for you or you want to share your own views — please write your thoughts in comments or private messages. Your point of view, observations and comments are important to the discussion. I will be glad to continue the dialog. 📖 The full article is attached to the post.

𝗧𝗵𝗲 𝗔𝗴𝗲 𝗼𝗳 𝗖𝗵𝗮𝗻𝗴𝗲: 𝗜𝗙𝗖 𝗶𝘀 𝗮 𝘁𝗵𝗶𝗻𝗴 𝗼𝗳 𝘁𝗵𝗲 𝗽𝗮𝘀𝘁 𝗼𝗿 𝘄𝗵𝘆 𝗔𝘂𝘁𝗼𝗱𝗲𝘀𝗸 𝗮𝗻𝗱 𝗼𝘁𝗵𝗲𝗿 𝗖𝗔𝗗 𝘃𝗲𝗻𝗱𝗼𝗿𝘀 𝗮𝗿𝗲 𝘄𝗶𝗹𝗹𝗶𝗻𝗴 𝘁𝗼 𝗴𝗶𝘃𝗲 𝘂𝗽 𝗜𝗙𝗖 𝗳𝗼𝗿 𝗨𝗦𝗗 𝗶𝗻 𝟭𝟰 𝗸𝗲𝘆 𝗳𝗮𝗰𝘁𝘀 The construction industry is undergoing an epochal change. Data formats like IFC are giving way to new approaches based on versatile and simple solutions like USD. But what's behind it? 🤔 1️⃣ 𝗚𝗿𝗮𝗻𝘂𝗹𝗮𝗿 𝗱𝗮𝘁𝗮 𝗮𝗻𝗱 𝗮𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀: Project management is now built around data. We are moving away from bulky formats to lightweight structures that allow for deeper analytics and automated processes. 2️⃣ 𝗨𝗦𝗗 - 𝘃𝗲𝗿𝘀𝗮𝘁𝗶𝗹𝗶𝘁𝘆 𝗮𝗻𝗱 𝘀𝗶𝗺𝗽𝗹𝗶𝗰𝗶𝘁𝘆: Support from industry leaders like Autodesk and Nvidia makes USD a key player in new data standards. The format's flat structure eliminates compatibility barriers, speeding adoption. 3️⃣ 𝗣𝗲𝗿𝘀𝗽𝗲𝗰𝘁𝗶𝘃𝗲𝘀 𝗼𝗻 𝗼𝗽𝗲𝗻𝗕𝗜𝗠 𝗮𝗻𝗱 𝗜𝗙𝗖: While the concept of openBIM was a revolution in 2012, its relevance is waning. The new IFC5 format already integrates USD approaches, but competition may lead to a change of leader. 4️⃣ 𝗧𝗵𝗲 𝗠𝘆𝘁𝗵 𝗼𝗳 𝗜𝗻𝘁𝗲𝗿𝗼𝗽𝗲𝗿𝗮𝗯𝗶𝗹𝗶𝘁𝘆: Historical attempts to merge closed and open systems show that what the industry needs is not to link incompatible platforms, but to create accessible, flat data. 𝗪𝗵𝗮𝘁 𝗱𝗼𝗲𝘀 𝘁𝗵𝗶𝘀 𝗺𝗲𝗮𝗻 𝗳𝗼𝗿 𝘂𝘀? As companies choose between IFC and USD, the key challenge is not the format, but the ability to work with data. Machine learning, automation and data analytics are already becoming standard in the construction industry. How do you see the future of data formats? Is your company ready for the era of open data and analytics? 👋  If any facts raise questions for you or you want to share your own view on the topics raised, let’s discuss them. Your point of view, every remark and observation is important for the discussion. 📖 The full article is attached to the post.

🚀 𝗠𝗮𝗷𝗼𝗿 𝘂𝗽𝗱𝗮𝘁𝗲: 𝗗𝗗𝗖 𝗙𝗿𝗲𝗲 𝗥𝗲𝘃𝗶𝘁 𝗖𝗼𝗻𝘃𝗲𝗿𝘁𝗲𝗿 𝗲𝘅𝗽𝗮𝗻𝗱𝘀 𝗰𝗮𝗽𝗮𝗯𝗶𝗹𝗶𝘁𝗶𝗲𝘀! 𝗥𝗲𝘃𝗶𝘁 𝟮𝟬𝟬𝟰 𝗮𝗻𝗱 𝘀𝗲𝗹𝗲𝗰𝘁𝗶𝗻𝗴 𝘁𝗵𝗲 𝘀𝗽𝗲𝗲𝗱 𝗮𝗻𝗱 𝗰𝗼𝗺𝗽𝗹𝗲𝘁𝗲𝗻𝗲𝘀𝘀 𝗼𝗳 𝗰𝗼𝗻𝘃𝗲𝗿𝘀𝗶𝗼𝗻. We are pleased to announce a major update to our Revit converter that provides more power and flexibility in CAD (BIM) data management! 🆕 𝗪𝗵𝗮𝘁'𝘀 𝗡𝗲𝘄: ▪️ The free version now includes support for Revit 2024 ▪️ Introducing flexible category-based conversion with three levels: ▫️ Basic: 309 Revit categories ▫️ Standard: 724 Revit categories ▫️ Full: 1209 Revit categories 🛠️ 𝗡𝗲𝘄 𝗙𝗲𝗮𝘁𝘂𝗿𝗲:  Custom Category Selection Create your own custom.txt file with the specific categories needed for conversion, giving you full control over the data extraction process. Conversion with different category levels is available in three options: ▪️ using the UI, ▪️ terminal version, ▪️ as a plugin in Excel 📊 𝗟𝗲𝘁'𝘀 𝗹𝗼𝗼𝗸 𝗮𝘁 𝘁𝗵𝗲 𝗻𝘂𝗺𝗯𝗲𝗿𝘀 𝘂𝘀𝗶𝗻𝗴 𝗿𝗮𝗰_𝗯𝗮𝘀𝗶𝗰_𝘀𝗮𝗺𝗽𝗹𝗲_𝗽𝗿𝗼𝗷𝗲𝗰𝘁.𝗿𝘃𝘁 𝗮𝘀 𝗮𝗻 𝗲𝘅𝗮𝗺𝗽𝗹𝗲: 𝗕𝗮𝘀𝗶𝗰 𝗠𝗼𝗱𝗲 (𝟯𝟬𝟵 𝗖𝗮𝘁𝗲𝗴𝗼𝗿𝗶𝗲𝘀): ▪️ Original RVT Size: 19 MB ▪️ Time to create XLSX database: 15 sec. ▪️ Number of categories retrieved: 88 ▪️ Items extracted: 1 382 ▪️ Parameters retrieved: 863 𝗖𝗼𝗺𝗽𝗹𝗲𝘁𝗲 𝗠𝗼𝗱𝗲 (𝟭𝟮𝟬𝟵 𝗖𝗮𝘁𝗲𝗴𝗼𝗿𝗶𝗲𝘀): ▪️ Original RVT Size: 19 MB ▪️ XLSX database creation time: 30 sec. ▪️ Number of categories retrieved: 165 ▪️ Extracted elements: 8 298 ▪️ Parameters retrieved: 1 120 Inside Revit there are a total of 1209 categories (full list can be found in the comments below the post) that you partially use in your projects. And in each individual case it will depend on which categories, which elements and parameters you want to use. 💡 𝗪𝗵𝘆 𝗶𝘀 𝘁𝗵𝗶𝘀 𝗶𝗺𝗽𝗼𝗿𝘁𝗮𝗻𝘁? By treating project data as a database, you open up a new level of analysis and decision making. More data, when handled properly, allows you to solve data processing and automation problems faster and more efficiently. Remember: The quality and quantity of data directly impacts your ability to automate processes and solve complex problems. Take control of your data and let it work for you! 🚀 🤝 If you found this update valuable, please share it! ❓ Do you have questions about the new features? Please ask them in the comments below! 👇

🏗 𝗜𝘀 𝗶𝗻𝘁𝗲𝗿𝗼𝗽𝗲𝗿𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗮 𝗴𝗼𝗮𝗹 𝗼𝗿 𝗮𝗻 𝗶𝗹𝗹𝘂𝘀𝗶𝗼𝗻? Today we see many teams focusing on creating links between closedBIM (closed CAD) and openBIM (open or semi-open CAD (BIM) solutions) - as if this is the key to solving all challenges in the construction industry. 🔓 But let's step back a bit and look at other similar examples. Remember what happened 20 years ago, 𝘄𝗵𝗲𝗻 𝘀𝗽𝗲𝗰𝗶𝗮𝗹𝗶𝘀𝘁𝘀 𝘁𝗶𝗿𝗲𝗱 𝗼𝗳 𝗔𝗱𝗼𝗯𝗲'𝘀 𝗺𝗼𝗻𝗼𝗽𝗼𝗹𝗼𝗴𝘆 𝗽𝗮𝘃𝗲𝗱 𝘁𝗵𝗲 𝘄𝗮𝘆 𝗳𝗼𝗿 𝗰𝗼𝗺𝗽𝗮𝘁𝗶𝗯𝗶𝗹𝗶𝘁𝘆 𝗯𝗲𝘁𝘄𝗲𝗲𝗻 𝗣𝗵𝗼𝘁𝗼𝘀𝗵𝗼𝗽 𝗮𝗻𝗱 𝗚𝗜𝗠𝗣. Then, as now, the efforts were aimed at building links between closed and open systems and interoperability between closed and open program parametrics, but.... 💁🏻♂️ 𝗕𝘂𝘁 𝗶𝗻 𝗳𝗮𝗰𝘁, 𝘂𝘀𝗲𝗿𝘀 𝘄𝗲𝗿𝗲 𝗹𝗼𝗼𝗸𝗶𝗻𝗴 𝗳𝗼𝗿 𝘀𝗶𝗺𝗽𝗹𝗲 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻𝘀 - 𝗳𝗹𝗮𝘁, 𝗼𝗽𝗲𝗻 𝗱𝗮𝘁𝗮. Without unnecessary logic of layers, objects and parameters, just the right data, ready to use. As a result, in the imaging industry few people use in apps, on Facebook, Instagram or as content on any website - closed PSD or open XCF - most use cases use flat and open JPEG, PNG, GIF formats. 📌 Today in construction industry - USD, CPIXML, glTF, DAE, XLSX play the same role in building 3D models ! These formats are taking over interoperability, simplifying and speeding up work. And maybe that's why suddenly Autodesk a year ago formed a new alliance AOUSD with Apple, Nvidia and Pixar. 📢 Most people don't need closed PSD formats or complex GIMP files with layer logic. They just want images of objects that can be used on Instagram, Facebook and any other platform. 📌 So it is in construction - 𝗥𝗲𝘃𝗶𝘁 𝘄𝗶𝘁𝗵 𝗶𝘁𝘀 𝗰𝗹𝗼𝘀𝗲𝗱 𝗹𝗼𝗴𝗶𝗰 𝗼𝗿 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝗽𝗮𝗿𝗮𝗺𝗲𝘁𝗿𝗶𝗰 𝗜𝗙𝗖𝘀 𝗮𝗿𝗲 𝗼𝗳𝘁𝗲𝗻 𝗿𝗲𝗱𝘂𝗻𝗱𝗮𝗻𝘁. Users need flat formats such as USD, NWC, CPIXML, DXF, GLTF, DAE, XLSX that contain all the necessary information on elements, but at the same time these formats are not loaded with redundant logic of BREP geometry construction and internal classifications of this or that CAD and BIM product. 📌 In Germany, 𝗮𝗹𝘁𝗵𝗼𝘂𝗴𝗵 𝗜𝗙𝗖 𝘄𝗮𝘀 𝗰𝗿𝗲𝗮𝘁𝗲𝗱, 𝗮𝗹𝗹 𝗺𝗮𝗷𝗼𝗿 𝗰𝗼𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻 𝗰𝗼𝗺𝗽𝗮𝗻𝗶𝗲𝘀 𝗶𝗻 𝗚𝗲𝗿𝗺𝗮𝗻-𝘀𝗽𝗲𝗮𝗸𝗶𝗻𝗴 𝗰𝗼𝘂𝗻𝘁𝗿𝗶𝗲𝘀 𝘂𝘀𝗲 𝗳𝗹𝗮𝘁 𝗖𝗣𝗜𝗫𝗠𝗟 for their processes (which was also created by the experts who were behind the emergence of the IFC format. The simplicity and quality of CPIXML killed the need to use parametric IFC for demanding processes. 📢 Simplicity and accessibility wins. Everything else is secondary. Autodesk and other CAD vendors are trying to come up with a new JPEG format - and in the end it seems that nothing better than USD format will be given to us in the near future. 🙋♂️ Do we need interoperability or do we just need data, that question - to which I don't have a clear answer yet.... Feel free to share your thoughts! If you find this helpful, please consider reposting

💻 𝗙𝗿𝗲𝗲 𝗱𝗮𝘁𝗮 𝘁𝗿𝗮𝗻𝘀𝗳𝗲𝗿 𝗳𝗿𝗼𝗺 𝗗𝗪𝗚 𝗳𝗶𝗹𝗲𝘀 𝘁𝗼 𝗘𝘅𝗰𝗲𝗹 (𝗣𝗼𝘄𝗲𝗿𝗕𝗜, 𝗣𝗮𝗻𝗱𝗮𝘀𝘀, 𝗖𝗵𝗮𝘁𝗚𝗣𝗧) 𝘄𝗶𝘁𝗵𝗼𝘂𝘁 𝗔𝘂𝘁𝗼𝗖𝗔𝗗 𝗷𝘂𝘀𝘁 𝗴𝗼𝘁 𝗲𝘃𝗲𝗻 𝗲𝗮𝘀𝗶𝗲𝗿! Our DWG Converter from DataDrivenConstruction, 𝘃𝗲𝗿𝘀𝗶𝗼𝗻 𝟭𝟮, 𝗿𝗲𝗹𝗲𝗮𝘀𝗲𝗱 𝗼𝗻 𝗢𝗰𝘁𝗼𝗯𝗲𝗿 𝟮𝟭, 2024, now supports new segment properties: Start Point, End Point, Direction and polyline segment sizes. These properties have been added to improve drawing detail analysis. 🌟 𝗞𝗲𝘆 𝗳𝗲𝗮𝘁𝘂𝗿𝗲𝘀: ◾️ Compatible with DWG versions 1983-2025. ◾️ No need to run or install AutoCAD ◾️ Extract structured data (DataFrame) from one or more projects effortlessly. ◾️ Works offline, without internet, API connections or plug-ins. ◾️ Legal and user-friendly ◾️ Conversion results can be used in ChatGPT and numerous free open source tools. 🧊 𝗨𝘀𝗮𝗴𝗲 𝗲𝘅𝗮𝗺𝗽𝗹𝗲𝘀: You can verify data from DWG files by any parameter, such as layers or XData included in the file, to ensure that every element meets project requirements. Identification of lines, polylines and blocks representing rooms, walls or other elements. The new properties allow you to precisely define the start and end points, direction and dimensions of segments, making it easier to create 3D models. These models can then be exported to a variety of other formats for further use. ⬇️ Download “Free DWG Converter 1983-2023” from the link in the comment. No registration required - just download, unzip and start converting data from #DWG (#Revit or #IFC) formats for any project. 🚀 With the new features of version 12, data processing has become even more accessible and efficient. Forget complexities and limitations - start working with data analysis from your projects now! 🙋♂️ Feel free to ask questions and share your feedback! If you found this post useful, please make a repost!

🚨 𝗧𝗵𝗲 𝗔𝗜 𝗟𝗟𝗠 𝗥𝗲𝘃𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗶𝘀 𝗛𝗲𝗿𝗲: 𝗔𝗱𝗮𝗽𝘁 𝗼𝗿 𝗚𝗲𝘁 𝗟𝗲𝗳𝘁 𝗕𝗲𝗵𝗶𝗻𝗱! The ground beneath the construction and design industry is about to shake! 𝗠𝗶𝗹𝗲𝘀𝘁𝗼𝗻𝗲𝘀 𝗳𝗼𝗿 𝟮𝟬𝟮𝟯: 👀 Autodesk suddenly advocates for granular, normalized, and structured data. 👀 All CAD vendors, without exception, are implementing CAD data converters (BIM). 👀 Amazon and Huawei, once just giants in data storage, are racing against the clock to normalize and structure CAD (BIM) data. 📈 The Python Pandas library for working with structured, normalized data is being downloaded up to 6 million times per day. 𝗠𝗶𝗹𝗲𝘀𝘁𝗼𝗻𝗲𝘀 𝗳𝗼𝗿 𝟮𝟬𝟮𝟰: 👀 NVIDIA's CEO reports that 30% of computing resources are dedicated to data processing, much of it involving structured DataFrames. 👀 The Meta team is releasing a free LLaMa 3.1 model demonstrating how to handle structured, normalized data as the main case study. 📈 Python Pandas library downloads have surged to a maximum of 12 million times a day. 𝗪𝗵𝘆 𝗜𝘁 𝗠𝗮𝘁𝘁𝗲𝗿𝘀 🤖 LLM agents (advanced AI models) combined with structured data are poised to replace millions of construction and design professionals. Just as mechanization changed agriculture a century ago, AI is set to revolutionize our industry! 🌾 The Big Question: Office workers who've been moving data from one spreadsheet to another for decades—where will they go now? I think I have an answer to that... Say NO to the slavery of keys, closed APIs, and subscription models that deny you access to your own data! In the future, we won't be selling each other UI software - we'll eventually start working with data streams and analytics, analyzing data and building countless machine learning models. ⚖️ Are you ready to adapt and start working with data in this new era, or will you be left behind dealing with a zoo of programs imposed by software vendors who don't even understand how the construction business works? 📌 Links to materials that will help you dive into the history and current trends can be found in the first comment. Don't hesitate to ask questions or share your thoughts! ♻️ If you find this useful, please repost!

𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻 𝗼𝗻 𝘁𝗵𝗲 𝘁𝗼𝗽𝗶𝗰 𝗼𝗳 𝘂𝘀𝗶𝗻𝗴 𝗖𝗔𝗗 (𝗕𝗜𝗠) 𝗱𝗮𝘁𝗮 𝗶𝗻 𝗟𝗟𝗠! You don't need to use the entire dataframe (from Revit, IFC or DWG) in ChatGPT - if it's a large project. I used Python in 2021 to handle one large dataframe with 10k projects of different Revit and IFC versions with several million elements in a table: https://lnkd.in/djF-Jc3k. What you need an LLM for is to mine the code to generate the necessary output. The code itself for large projects should be run either in Jupyter Notebook (offline) or the same Jupyter Notebook online - as a Kaggle or Google Collab platform.  When working with large dataframes of Revit, IFC, DWG projects in ChatGPT you need to put either only the first 5-10 lines of your dataframe into ChatGPT (then LLM will have all the information about the project structure and parameters) - or you can just write “I have a Dataframe and I need .....” . And then you'll get perfect code that runs on your sample dataframe and can be run in any IDE offline or online on any data size. Here is an example of building a pipeline: https://lnkd.in/eE34hHYK. Adrian Mokus in general, when you will work with structured tables or columnar data, queries to LLM (ChatGPT or other) should be made based on parameters and then describe the value. For example, your query should correctly sound like: “𝙃𝙤𝙬 𝙢𝙖𝙣𝙮 𝙚𝙡𝙚𝙢𝙚𝙣𝙩𝙨 𝙞𝙣 𝙩𝙝𝙚 𝙙𝙖𝙩𝙖𝙛𝙧𝙖𝙢𝙚 𝙩𝙝𝙖𝙩 𝙝𝙖𝙫𝙚 𝙩𝙝𝙚 𝙫𝙖𝙡𝙪𝙚 ‘𝙊𝙎𝙏_𝘿𝙪𝙘𝙩’ 𝙞𝙣 𝙩𝙝𝙚 ‘𝘾𝙖𝙩𝙚𝙜𝙤𝙧𝙮’ 𝙥𝙖𝙧𝙖𝙢𝙚𝙩𝙚𝙧" 🙋♂️ If you have other questions about using data from CAD (BIM) formats in LLM chats - do not hesitate to ask your questions

❗ Data Analytics ChatGPT FAIL ❗ 🚫 When using DataDrivenConstruction Revit exporter on large models, the AI is constantly failing to process the data. By any means this is not a large project, only 11storeys and the export is for RIBA Stage 4 MEPH model only. I have tested this on much larger models too and it keeps on failing every time. Looking forward by proven to be wrong, as i would really like this to work. Stjepan Mikulić any insight? #Revit #DataAnylitcs #AI #InformationManagement #BIM

💡 𝗛𝗼𝘄 𝗱𝗼 𝘆𝗼𝘂 𝘁𝗵𝗶𝗻𝗸 𝗱𝗮𝘁𝗮 𝗮𝗻𝗱 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗶𝗻 𝗰𝗼𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻 𝗱𝗶𝗳𝗳𝗲𝗿𝘀 𝗳𝗿𝗼𝗺 𝗼𝘁𝗵𝗲𝗿 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀 and how much have data requirements in the construction industry changed in recent years? 🤯 In the mid-2000s, companies faced an avalanche of data growth, especially in CAD and BIM departments. This 𝘄𝗮𝘃𝗲 𝘁𝗼𝗼𝗸 𝗺𝗮𝗻𝘆 𝗲𝘅𝗲𝗰𝘂𝘁𝗶𝘃𝗲𝘀 𝗯𝘆 𝘀𝘂𝗿𝗽𝗿𝗶𝘀𝗲, and it soon became clear that the old methods of data management were no longer working. 🤔 Using marketing around the new term “BIM” since 2002 new organizations began proposing standards that were supposed to improve data management. However, what we got instead was a plethora of new acronyms and standards, from BEP to EIR, AIM and even IDS (EXCEL-XML). And while this sounds impressive, the reality is that instead of simplifying processes, these standards promoted by CAD vendors - often only make things more complicated. And the big question is: 𝗛𝗼𝘄 𝗶𝘀 𝗱𝗮𝘁𝗮 𝗺𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁 𝗶𝗻 𝗰𝗼𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝗶𝗼𝗻 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗳𝗿𝗼𝗺 𝗼𝘁𝗵𝗲𝗿 𝗶𝗻𝗱𝘂𝘀𝘁𝗿𝗶𝗲𝘀? The answer is simple: 𝗻𝗼𝘁𝗵𝗶𝗻𝗴. The data itself and its processing are identical to other industries. ⚡️We can simplify these processes by using familiar structured tables with attributes and their boundary values, as other industries have long done. 𝗪𝗵𝘆 𝗺𝗼𝘃𝗲 𝘁𝗼 𝗰𝗼𝗺𝗽𝗹𝗲𝘅 𝗳𝗼𝗿𝗺𝗮𝘁𝘀 𝗹𝗶𝗸𝗲 𝗜𝗗𝗦-𝗫𝗠𝗟 𝘄𝗵𝗲𝗻 𝘄𝗲 𝗰𝗮𝗻 𝘂𝘀𝗲 𝗱𝗶𝗿𝗲𝗰𝘁 𝗮𝗻𝗱 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁 𝗺𝗲𝘁𝗵𝗼𝗱𝘀 𝗼𝗳 𝗱𝗲𝘀𝗰𝗿𝗶𝗯𝗶𝗻𝗴 𝗿𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝘁𝗵𝗿𝗲𝗲 𝗰𝗼𝗹𝘂𝗺𝗻𝘀 𝗼𝗳 𝗶𝗻𝗳𝗼𝗿𝗺𝗮𝘁𝗶𝗼𝗻 - 𝗮 𝗰𝗮𝘁𝗲𝗴𝗼𝗿𝘆 (𝗼𝗿 𝘁𝘆𝗽𝗲), 𝗮 𝗽𝗮𝗿𝗮𝗺𝗲𝘁𝗲𝗿 𝗮𝗻𝗱 𝗶𝘁𝘀 𝗯𝗼𝘂𝗻𝗱𝗮𝗿𝘆 𝘃𝗮𝗹𝘂𝗲𝘀? Concepts come and go, but data validation requirements will remain the same, impacting business processes and every data-driven decision. 👉 If you already believe that working with data in construction is no different from other data-driven industries and you're using tools to validate it - share your experience! And if you're a supporter of IDS, Solibri, or ACC, drop a comment on why BIM data checks are the future of construction! 🙌 Don't hesitate to ask questions or share your thoughts! If you find this useful, please repost!