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Token-based cost management for BigQuery generative AI functions lets you set daily quotas on AI token consumption so you can keep within your budget.

Google Research’s TimesFM 3.0 is a 330-million parameter foundation model that unlocks native multivariate time-series forecasting in BigQuery SQL.

Build code-free pipelines with Live Query + BigQuery. Use Gemini securely within your data platform to process and analyze unstructured data.

BigQuery augmented analytics Table-Valued Functions (TVFs) automate insight discovery and pattern explanation using AI, ML and statistical methods.

New BigQuery identity columns let you define columns that automatically generate sequential 64-bit integer values to manage’ unique identifiers.

TabFM in BigQuery uses in-context learning (ICL) to deliver highly accurate predictions on your tabular datasets via a single SQL statement.

Discover how BigQuery Graph enables native graph analytics and AI agent grounding, delivering connected context across enterprise data without moving data.

Discover how BigQuery Graph with measures grounds autonomous AI agents in unified enterprise truth, enabling precise reasoning across complex data relationships.

Discover new BigQuery Data Transfer Service capabilities. Automate low-cost data ingestion from diverse sources directly into your data warehouse.

Learn about the latest innovations to help improve BigQuery price-performance with autonomous query processing.