Gemini for business now offers Data Cloud connectors in preview, empowering users to query live enterprise data using natural language. These connectors address the challenge of data request backlogs by providing direct access to governed data. They integrate with Knowledge Catalog to locate relevant data, interpret natural language queries, and execute permission-scoped queries under the user's identity. Users can query data from BigQuery, operational databases like Spanner, AlloyDB, and Cloud SQL, and Looker. Findings can be directly moved into tools like Google Docs, Gmail, and Google Slides. Gemini leverages semantic discovery and context mapping, using technical metadata and business glossaries to translate everyday terms into database structures. Permission-aware execution ensures that row- and column-level access controls are respected. Data Cloud connectors can query data across BigQuery and AWS S3, unifying environments into a single conversational interface. These connectors offer a federated query mode, accessing data in place without copying it. Compared to custom solutions, Data Cloud connectors provide built-in skills for higher response quality and guided setup with managed authentication. This feature aims to democratize data access and accelerate insights for business users and analysts.