Thanks !
There are indeed players many new in the data versioning space (DVC and Quilt also probably worth mentioning).
I totally agree that data management problems are not just ML related. But I personally think that there are additional challenges in the space that are not just version control for data.. all the area of data quality management and monitoring for example.
I liked the analogy to devops, source version was super critical problem to solve in software development, but it didn't stop there, with things like CI/CD etc.
I believe we'll see similar evolution in the data space..
I totally agree that data management problems are not just ML related. But I personally think that there are additional challenges in the space that are not just version control for data.. all the area of data quality management and monitoring for example. I liked the analogy to devops, source version was super critical problem to solve in software development, but it didn't stop there, with things like CI/CD etc. I believe we'll see similar evolution in the data space..