Iterative has launched the first machine learning model registry based on GitOps principles.

Iterative has launched Machine Learning Engineering Management an open source model deployment and registry tool.

SAN FRANCISCO, June 1, 2022 — Iterative, the MLOps company dedicated to streamlining the workflow of data scientists and Machine Learning (ML) engineers, today launched Machine Learning Engineering ...

These iterative cycles can focus on the entire design, or they can focus on a small area (or technology) of the product. This process relies on prototyping and testing. Prototypes come in many forms.

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.

Agile content development is a high-intent growth lever for content creation—one that uses data science and an iterative approach to continuously optimize and deliver solution-focused content.

The iterative process that works best is one that continuously improves the software while taking constant client feedback into consideration.