Updates to conversational analytics include the following improvements

## Feature Feature Updates to [conversational analytics](https://cloud.google.com/bigquery/docs/conversational-analytics) include the following improvements: * ObjectRef support: BigQuery conversational analytics now integrates with Google Cloud Storage through [ObjectRef functions](https://cloud.google.com/bigquery/docs/reference/standard-sql/objectref%5Ffunctions). This lets you reference and interact with unstructured data such as images and PDFs in Cloud Storage buckets in your conversational analysis. * BQML support: BigQuery conversational analytics now supports [a set of BigQuery ML functions](https://cloud.google.com/bigquery/docs/conversational-analytics#bigquery-ml-support), including AI.FORECAST, AI.DETECT\_ANOMALIES, and AI.GENERATE. These functions let you perform advanced analytics tasks with simple conversational prompts. * Chat with BigQuery results: You can now start conversations and chat with query results in BigQuery Studio (SQL editor). * Enhanced support for partitioned tables: BigQuery conversational analytics can now use BigQuery table partitioning. The agent can optimize SQL queries by using partitioned columns such as date ranges on a date-partitioned table. This can improve query performance and reduce costs. * Labels for agent-generated queries: BigQuery jobs initiated by the conversational analytics agent are now labeled in [BigQuery Job History](https://cloud.google.com/bigquery/docs/managing-jobs)in the Google Cloud Console. You can identify, filter, and analyze the jobs run by the conversational analytics agent by referencing labels similar to`{‘ca-bq-job’: ‘true’}`. These labels can help with the following tasks: * Monitor and attribute cost. * Audit agent activity. * Analyze agent-generated query performance. * Suggest next questions (clickable): When working with BigQuery conversational analytics, the agent now suggests questions that are directly clickable in the Google Cloud console. This feature is available in [Preview](https://cloud.google.com/products/#product-launch-stages).