Bringing Conversational Analytics to the Entire Data Ecosystem

Adopting generative AI within an enterprise requires more than simply deploying a chatbot — it demands trust in core business databases, rigorous governance, and a deep understanding of enterprise data semantics.

Google Cloud's Conversational Analytics (CA) has moved beyond the experimental stage into a stage that can scale across the enterprise. BigQuery Conversational Analytics and the Conversational Analytics API have reached general availability (GA), and CA capabilities in Looker also reached general availability last year. In addition, CA capabilities for AlloyDB, Cloud SQL, and Spanner are now available in preview.

Key features include the following:

• Multi-cloud and diverse workload support: Agents can natively query not only Google Cloud data but also data in multi-cloud environments such as AWS S3 Unity Catalog and Apache Iceberg.
• Unified user experience: Supports a variety of interfaces, from BigQuery Studio for data professionals to Looker, Data Studio, and Gemini Enterprise for business teams.
• Flexible extensibility: Through APIs and MCP (Model Context Protocol) tools, CA capabilities can be embedded into custom applications or wherever users work, such as a Slack chatbot.
• Robust security and governance: Includes CMEK (Customer-Managed Encryption Keys), Private IP, and VPC controls, and provides enterprise-grade security through data residency (DRZ) guarantees and HIPAA compliance.