MLOps for Pharma

MLOps platform

The MLOps platform covers the model development, the model training, the model registry, the model deployment, the model monitoring, and the model retirement.

Model lifecycle

The model lifecycle covers the use case identification, the data preparation, the model development, the model validation, the model deployment, the model monitoring, the model retraining, and the model retirement.

Model monitoring

The model monitoring covers the data drift, the model drift, the performance monitoring, the fairness monitoring, and the explainability monitoring.

How to use this page

Use this MLOps for Pharma page as a planning checkpoint before vendor selection, architecture review, validation scoping or implementation sequencing. The strongest next step is to compare the guidance with your current SOPs, system inventory, batch records, data flows and QA review routines so the discussion starts from evidence instead of assumptions.

Evidence to prepare

For MLOps for Pharma, prepare the records, owners, risks and decision criteria linked to mlops platform, model lifecycle, model monitoring. Useful evidence includes current process maps, interface lists, audit trail expectations, exception workflows, data retention rules and the business reason for changing the current operating model.

Frequently asked questions