| I 'll disagree with most comments that it's mainly an organizational problem. Creating tooling for things like: - managing different data sources - versioning data - monitoring how new data affects the model - testing that certain SLAs are met before new features are deployed - ability to rollback - data & model quality monitoring is technically challenging. Obviously there are engineers that will quickly hack something together and will falsely think that
they have a good enough MLOps solution. I have been part of such teams. Most companies are not Google, Facebook, or Uber. The large ones very often don't have the know-how to create
a robust technical solution around this process, and even if they do it can take them years and the smaller ones
lack both the resources and technical expertise. I'm always looking for new ideas that can become successful business and when I saw the Uber Michelangelo
here on HN a few years ago, I was thinking that selling similar tooling to other companies, had great
potential. Seems that the right team to create that company was the one the built Michelangelo itself :) |