Conversational Analytics in BigQuery is now generally available, empowering both business and technical teams to analyze data using natural language. This feature provides an agent that acts like a knowledgeable analyst, built on Google's Gemini models and BigQuery’s secure foundation. It offers built-in conversational capabilities requiring no setup, with options for data professionals to create specialized agents grounded in specific data sources. These agents can access data beyond native BigQuery tables, including Lakehouse sources like Databricks, AWS Glue, SAP, and Salesforce, breaking down data silos.Data practitioners use Conversational Analytics within BigQuery Studio and Data Canvas, and can publish agents to Gemini Enterprise or other applications via an API. Engineered trust and explainability are key features, with every agent grounded in business context and providing visible thinking steps, SQL generation, and context citations. Proactive disambiguation through clarifying questions and long-term memory further enhance user experience and trust. Security and governance are inherited from BigQuery, ensuring users access only authorized data and all queries are logged for auditing.The product supports advanced security features like CMEK and VPC Service Controls, and guarantees data residency within EU and US multi-regions. Operational controls for scaling include cost management and usage tracking. Conversational Analytics leverages BigQuery’s AI functions, enabling users to ask questions about root causes, forecasts, and anomalies without building models. It can also query entire data estates, processing relational data and unstructured files like PDFs and images together.The agents are evolving from reactive analysis to proactive action with deep-dive mode, which automatically builds analytical plans for investigations. Agentic workflows allow for autonomous agents that monitor data, execute multi-step workflows on a schedule, and deliver insights directly. This release marks a shift from static dashboards to a self-managing environment that transforms data into active knowledge, forming a key component of the Agentic Data Cloud.