MLOps Maturity Assessment

Info

There are many maturity assessments out there. The one below is from Databricks.

Reference Link: https://github.com/marvelousmlops/mlops_maturity_assessment/tree/main

Criteria

If you can answer “yes” for sections 1-4, that is the bare minimum required to deploy a machine learning project.

Sections 5-7 go beyond basic MLOps maturity.

Overview

1. Documentation
2. Traceability & Reproducibility
3. Code Quality
4. Monitoring & Support
5. Data Transformation Pipelines & Feature Store
6. Model Explainability
7. A/B Testing & Feedback Loop

https://docs.google.com/spreadsheets/d/1D_PFIQAsWrcx1LbICzuGBf84DG2f_hOy/edit?usp=sharing&ouid=100434445624577610043&rtpof=true&sd=true