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BIM vs BOM: different industries, same underlying fight — trustworthy lifecycle data. In this episode, I’m joined by Rob Ferrone (PLM/BOM) and Cristina Savian (BIM / built-asset digital twins) to compare how products vs buildings manage structure, change, handover, and “digital twin” reality. We cover: • What BIM really is (and why it’s not “just a 3D model”) • Why CAPEX → OPEX handover breaks lifecycle value • Why “AI on top of asset data” fails without data trust • How construction “digital twins” evolve around fidelity + frequency • Where BIM starts to look like BOM (modular / industrialized construction) • Rob’s closing: start with the data model, not the tool stack 👇 If you work in PLM, BIM, digital thread, digital twins, or asset management: Drop a comment with the #1 handover failure you see most often. Subscribe for more AI + lifecycle conversations (PLM, BIM, Engineering AI, Digital Thread). Timeline 00:08 Intro + why BIM vs BOM 00:44 Rob: quick PLM definition 02:15 Cristina: BIM definition + framing “asset digital twin” 04:43 Backgrounds + how their worlds connect 09:39 AI needs data: mapping BOM concepts to built assets 12:05 AI in construction: the real problem is trust/validation cost 13:46 CAPEX vs OPEX disconnect + “handover as PDFs/manuals” 21:36 Modular construction crossover: configurable “products” in building 27:20 Reality check: asset management runs on… WhatsApp 34:23 Digital twin reframe: fidelity + frequency (not “all sensors”) 41:44 Formats + ecosystem discussion (Revit, etc.) 55:41 Rob’s takeaway: start with the data model (graph/federation later) 56:28 Cristina’s takeaway: remember the bigger purpose (safer infrastructure) 57:17 Wrap