CM Pravda’s Post

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IDEA Developer @ MARKyourSPOT NEWS to "Brunch-n-Learn" (a Platform for Personal-PR & the exchange of Social Capital)

BIM data can help STAKEHOLDERS and MANAGERS to understand the progress of a Virtual Design Project as it progresses. WHAT could improve IT? STANDARD fields, supplementary fields and unique fields A (SCP) Social Capitalist Plan recognizes one size doesn't fit all, like Large-MEDIAN-small or ABC, xYz, 123.... so can META data that includes ESTIMATED COST, BUDGET COST, FINAL COST help turn every BIM object or component of objects in to a PACKAGE of COSTS that are reflected in SPECS? > Turning an initial BUDGET per SF > into a Budget of Programming Components > then a Budget of PARTS and associated INSTALLATION COSTS > Budget of OPERATION Inorder to automate each phase or LOD (Level of Development) with an ESTIMATED LOC (Level of Cost)? Which could be updated as the BID & construction is completed to inform the default average next time around.

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Computational Designer

In Building Information Modeling (BIM), the wealth of data at our fingertips has always fascinated me. Yet, it's disappointing that much of this rich information remains untapped. Since BIM's inception, the industry has shifted focus from 2D drawings to data, but there are no significant advancements in leveraging this data effectively. One major barrier is the expertise required to access and manipulate BIM data within complex authoring tools. Even after exporting to external databases, querying this data demands specialized knowledge or becomes cumbersome due to size, often deterring stakeholders from harnessing its full potential. I think this is where GenAI can step in. Imagine using natural language to query any aspect of a project, allowing stakeholders to extract valuable insights effortlessly. I've been experimenting with an idea where BIM models from Revit are exported into CosmosDB, with each project as a distinct collection. Using OpenAI's ada-002, I've created vector embeddings for these documents, enabling vector searches that surpass retrieving raw data. I am refining this approach, particularly addressing challenges such as optimizing aggregation queries where ChatGPT occasionally falls short. However, I'm close to a proof of concept and would love to hear from others who have explored similar strategies. #BIM #AI #ConstructionIndustry #GenAI #DataAnalytics #CosmosDB #ChatGPT #OpenAI

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