MLOps Beyond Jupyter: Production-Ready ML in 2025
Factory AI Team · February 10, 2025
Most ML projects never leave Jupyter. The gap between experimentation and production is where value gets lost. MLOps bridges that gap.
We explore:
- Model versioning and registry
- Automated retraining pipelines
- Monitoring for data and model drift
- Canary deployments for ML
Production ML is as much about operations as it is about algorithms.