AI doesn’t fail because models are weak.It fails because no one knows how to run it in real life. AI Operations (MLOps) is what keeps AI working after deployment. It covers data quality, controlled training, safe deployment, continuous monitoring, governance, and retraining.
Without AI Operations:
- Models degrade silently
- Errors go unnoticed
- No accountability exists
- Compliance and ethical risks increase
- Business value drops to zero
Key rule:Data science builds the model.AI Operations keeps it accurate, safe, and useful. If AI is used in real operations, AI Operations is not optional.