What’s new with Google Data Cloud
google cloudblog
- We introduced Model Context Protocol (MCP) support for Google Services, starting with BigQuery, Maps, Google Compute Engine (GCE) and Google Kubernetes Engine (GKE). This announcement enables AI agents to point to a globally consistent and enterprise-ready endpoint for Google and Google Cloud services. In the next few months, we will roll out MCP support for more products, including AlloyDB, Cloud SQL, Spanner, Looker, Pub/Sub and Dataplex Universal Catalog.
December 1 - December 5
- Last week, we launched AlloyDB AI’s forecasting capabilities. Traditionally, performing high-quality time-series forecasting (for sales, demand, inventory, etc.) required moving data to external platforms and engaging in long, complex model training and validation cycles. The new AI.FORECAST function solves this by bringing state-of-the-art predictive power directly into your operational database with a single SQL command.
- We announced the General Availability of Conversational Analytics in Looker, enabling all organizations to ask questions of of their data ...
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