Good callout. However, it might not be all that bad. CAD file formats are known to last for decades to maintain backwards compatibility, since the packages are expensive and upgrade paths of large companies slow.
CAD files (at least planar modeling as opposed to parametric or solid modelling) tend to have pretty straight forward data structures for geometry. Find the point or vertex struct and you're halfway there. The complexity is association and metadata which were nowhere near as bloated then as they are now.
As someone who works regularly for large asset owners, asset life-cycle information (digital and analogue) and the proper management of that information is often ignored because organizations pass that risk to the people working with the asset maintaining their own working knowledge to get their job done. We've had international Building Information Modeling standards since the turn of the century but there's often no business case or standard enterprise process to make leverage technology for asset management.
AI and ML are starting to appear more and more in the operations space, however many pilot projects have to start with digitizing the asset in the first place, which becomes a cost impediment for many getting off the ground.
It really frustrates me as there are great things that can already be done today but the initial step financially usually scares off anyone who has to know 5 years in advance what their operating budget is.
CAD files (at least planar modeling as opposed to parametric or solid modelling) tend to have pretty straight forward data structures for geometry. Find the point or vertex struct and you're halfway there. The complexity is association and metadata which were nowhere near as bloated then as they are now.
As someone who works regularly for large asset owners, asset life-cycle information (digital and analogue) and the proper management of that information is often ignored because organizations pass that risk to the people working with the asset maintaining their own working knowledge to get their job done. We've had international Building Information Modeling standards since the turn of the century but there's often no business case or standard enterprise process to make leverage technology for asset management.
AI and ML are starting to appear more and more in the operations space, however many pilot projects have to start with digitizing the asset in the first place, which becomes a cost impediment for many getting off the ground.
It really frustrates me as there are great things that can already be done today but the initial step financially usually scares off anyone who has to know 5 years in advance what their operating budget is.