A technical question - how does your system work in the IRIS or other examples you have? It looks like it hides under the hood a few things compared to this implementation - type of the model (tensorflow) and the logic that fetches it from S3, right? Let's imagine we would want to make a DVC repo (just to store model versions to start) out of one of your examples instead of the DVC get started, how would we do that with the current implementation (through metadata + custom init)?
I really believe that "end-to-end AI platforms" of the future should be built on top of open-source tools like these two. I cannot wait to see when other parts of AI platforms will be integrated with the existing ones: model performance monitoring, data catalogs and etc..<p>Disclaimer: I'm one of the creators of DVC.