Why, given that iterative and incremental [1] approaches dominate the literature, does business remain so wedded to the waterfall [2] approach to software development?

Iterative’s developer-first approach to MLOps delivers model reproducibility, governance, and automation across the ML lifecycle, all integrated tightly with software development workflows.

Iterative launches MLEM to bridge the gap between ML engineers and DevOps teams by using the git-based approach that developers are already familiar with.

Iterative’s developer-first approach to MLOps delivers model reproducibility, governance, and automation across the ML lifecycle, all integrated tightly with software development workflows.