// AI news · 2026-10-30 · Google Cloud
Google Data Cloud Releases New Features
Google Cloud launches self-learning context enrichment and Knowledge Studio in Knowledge Catalog, enabling AI agents to access trusted semantic models from Looker, BigQuery, Snowflake, and others with unified lineage and controls.
Published 2026-10-30 00:00 (Beijing time)Source Google CloudAuto-summarised, fact-checked against source
01Summary
Agents now achieve up to 4x accuracy, 33% lower latency, and 75% fewer tokens. BigQuery adds column aliases, cross-region table copy, and conversational analytics in Canada with CSV/PDF export. AlloyDB Omni 18.4.0 introduces query insights and external KMS support. Cloud SQL for PostgreSQL enables managed connection pooling and sets Private Service Connect as default.
Summarised from the original article by an open-source model, then checked automatically: every number and English name must appear in the source. The original article is authoritative.
02Key points
- Knowledge Catalog adds self-learning context enrichment and Knowledge Studio for visual data exploration.
- AI agents grounded in semantic models achieve up to 4x accuracy with 33% lower latency and 75% fewer tokens.
- BigQuery supports column aliases, cross-region table copy, and conversational analytics in Canada with export options.
- AlloyDB Omni 18.4.0 and Cloud SQL for PostgreSQL gain advanced query insights and managed connection pooling.
03Source
What’s new with Google Data Cloud
Google Cloud · published 2026-10-30 00:00 Beijing time
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