Unleashing the Power of MLOps Governance and GenAI with Vertex AI
1. MLOps Governance: A Foundation for ML Success
MLOps governance plays a pivotal role in maintaining the efficiency, accuracy, and reliability of ML systems. It encompasses two core components: data governance and model governance.
1.1 Core Components of MLOps Governance
- Data Governance : Ensures the quality, security, and compliance of data used in ML models. It involves data management, data lineage tracking, and data access control.
- Model Governance : Focuses on the management and oversight of ML models throughout their lifecycle. This includes model versioning, model deployment, and model monitoring.
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