Applying continuous delivery in machine learning (CD4ML) projects is hard, for a few reasons:
In our experience, we use CD4ML sensible defaults as a north star to help us navigate through this chaotic environment. Instead of looking for a single data platform as silver bullet, we’ve had greater success by:
If you’re interested in discussing how we could help you on this journey, or want to chat about how you’re tackling them, we’d love to hear from you!
Disclaimer: The statements and opinions expressed in this article are those of the author(s) and do not necessarily reflect the positions of Thoughtworks.