Comment by RevEng

I disagree with the centralization thought. I'm working on a project to create a central AI platform for a very large corporation. As you can imagine, such a large company already has several different platforms made by different branches within it. Each branch has something they are relatively happy with. But corporate sees this redundancy as waste, so they want to consolidate it into one.

The problem with one is the same with any other single source: you are stuck with whatever they offer on whatever timelines they provide. You are sharing this with a hundred thousand other people, so it's not tailored to your use case, but either made as generic as possible, or full of irrelevant features. Both of these cases make it worse for you.

I have often made in house libraries either based on or completely replacing a free equivalent because the free one doesn't meet our needs and has extra complications we don't need. Yes, it comes with its costs, but sometimes it's worth it for something that genuinely meets your needs.

By forcing everybody to use the same common platform, you are either forcing them to work around the mismatch between the platform and their needs, or your are forcing the platform to provide for everyone's needs. Neither is efficient and it harms every other user.

If you are going to make your own, you had better have a good reason for it, but you shouldn't be forced into a single solution for everything - it can end up being more expensive than making a few special purpose applications.