2026-05-30
From Research to Production: What Changes
A concise checklist for turning promising research into reliable production outcomes.
machine-learningengineeringoperations
Moving from research to production usually fails at the handoff points, not at the algorithm.
My lightweight checklist:
- Define the operational metric and failure threshold.
- Validate data quality contracts before model iteration.
- Treat observability and rollback as first-class requirements.
- Document model assumptions where engineers and product teams can actually find them.
A good model in a notebook is a beginning; a maintainable system is the real finish line.