AI Platform Briefing — Google Vertex AI Launch

Executive briefing: At Google I/O on 18 May 2021, Google Cloud announced Vertex AI. The managed platform consolidates model training, data labeling, feature management, and online serving to accelerate regulated enterprise ML adoption.

Key capabilities

• Unified workbench. Vertex AI Workbench merges BigQuery, Dataflow, and managed notebooks to align experimentation with production pipelines.
• Feature Store. A fully managed feature repository enables consistent offline/online features with point-in-time correctness.
• MLOps automation. Vertex Pipelines, Predictions, and Experiments standardize CI/CD for ML, including model registry, versioning, and explainability tooling.
• Responsible AI. Integrated Explainable AI, Vizier, and continuous evaluation services provide monitoring hooks for fairness and drift controls.

Implementation guidance

• Map existing AutoML Tables and custom training workloads into Vertex AI projects to consolidate governance.
• Establish feature engineering standards for ingestion into the Feature Store with lineage tracked in Data Catalog.
• Instrument MLOps pipelines with Vertex Model Monitoring to surface drift metrics required for audit evidence.

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