You can now configure your BigQuery pipelines to automatically trigger

## Feature Feature You can now configure your BigQuery pipelines to automatically trigger executions based on updates to specific BigQuery tables. For more information, see [Trigger-based scheduling](https://cloud.google.com/bigquery/docs/schedule-pipelines#trigger-based-scheduling). This feature is in[Preview](https://cloud.google.com/products#product-launch-stages). ## Feature Feature [Conversational analytics](https://cloud.google.com/bigquery/docs/conversational-analytics) in BigQuery is now [generally available](https://cloud.google.com/products#product-launch-stages)(GA) and includes the following features: * You can select whether an agent can only use generally available models, or a mix of preview and generally available models. * You can change the thinking mode of an agent within a conversation. * Agents can ask clarifying questions about your input prompt. * Agent responses include context citations, to help you understand the specific sources used to generate the answer. * Parameters are supported in verified queries. * Agents can use the following AI functions to answer your questions: * [AI.KEY\_DRIVERS](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-ai-key-drivers) * [AI.IF](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-ai-if) * [AI.SCORE](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-ai-score) * [AI.CLASSIFY](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-ai-classify) * [AI.SIMILARITY](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-ai-similarity) * [AI.SEARCH](https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-syntax-ai-search) * Conversational analytics supports US MREP and EU MREP[locations](https://cloud.google.com/bigquery/docs/conversational-analytics#locations) that govern the storage of agent and conversation resources, and the location used for ML processing. You can also create a[conversation with a dataset](https://cloud.google.com/bigquery/docs/create-conversations#datasets). This feature is in [preview](https://cloud.google.com/products#product-launch-stages).