Uploaded June 2026 | Updated September 2026, 2 weeks ago
Enterprise data is often trapped behind fragmented APIs and complex models, hindering AI agents from extracting insights. In this session, learn to build a production-grade Autonomous Data agent that bridges the gap between LLM reasoning and enterprise data. We’ll showcase an agent on Cloud Run using the new BigQuery Model Context Protocol (MCP) server to interact with data as a native tool.
Watch more Google Cloud Next 2026 Sessions → https://goo.gle/gcloud-next-2026
Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
Speakers: Vlad Kolesnikov
BRK3-019
#GoogleCloudNext
Enterprise data is often trapped behind fragmented APIs and complex models, hindering AI agents from extracting insights. In this session, learn to build a production-grade Autonomous Data agent that bridges the gap between LLM reasoning and enterprise data. We’ll showcase an agent on Cloud Run using the new BigQuery Model Context Protocol (MCP) server to interact with data as a native tool.
Watch more Google Cloud Next 2026 Sessions → https://goo.gle/gcloud-next-2026
Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
Speakers: Vlad Kolesnikov
BRK3-019
#GoogleCloudNext










