Your company recently migrated several of is ML models to Google Cloud. You have started developing models in Vertex AI. You need to implement a system that tracks model artifacts and model lineage. You want to create a simple, effective solution that can also be reused for future models. What should you do?
Vertex AI Pipelines automatically logs every component’s inputs, outputs, parameters, and artifacts into the built‑in ML Metadata store, giving you end‑to‑end lineage for data, models, and evaluation results. The Vertex AI SDK lets you programmatically log any extra metadata—git commit hashes, container image URIs, custom evaluation reports—directly into the same metadata store from within your training or preprocessing code.