"Google's new Agentic Data Cloud architecture aims to transition enterprise AI from pilot projects to production by creating a unified semantic layer that agents can reliably act upon at scale."
"The Knowledge Catalog, an evolution of Dataplex Universal Catalog, extends its metadata foundation into a semantic layer that maps business meaning and relationships across various data sources."
"New tools, including a LookML-based agent and features in BigQuery, will allow enterprises to embed business logic directly into their data analysis processes for improved efficiency."
"The catalog is designed to continuously enrich semantic context by profiling structured datasets and tagging unstructured content, while also inferring missing structure in data."
Google is launching the Agentic Data Cloud to unify fragmented data for enterprise AI applications. This architecture integrates services like BigQuery and Vertex AI, enhancing metadata and governance. The Knowledge Catalog evolves to create a semantic layer that maps business meanings across data sources. New tools will capture business logic and enrich semantic context, improving data analysis and management across enterprises. The catalog will also analyze data usage to continuously enhance its capabilities.
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