Enable autonomous data agents with BigQuery and Cloud Run
Key Takeaways
Building autonomous data agents with BigQuery and Cloud Run using the BigQuery Model Context Protocol (MCP) server
Original Description
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: 100+ sessions from Google Cloud Next 26 → https://www.googlecloudevents.com/next-vegas/
Subscribe to Google Cloud Tech → https://goo.gle/GoogleCloudTech
Speakers: Vlad Kolesnikov
BRK3-019
#GoogleCloudNext
Watch on YouTube ↗
(saves to browser)
Sign in to unlock AI tutor explanation · ⚡30
More on: Autonomous Workflows
View skill →Related Reads
📰
📰
📰
📰
95% of AI Agent Pilots Deliver Zero ROI. Here's What Actually Works in Production
Dev.to · Shuvo
What Teaching a Machine to Think Taught Me
Dev.to · Alan Scott Encinas
Stop switching tabs: Managing Postmark infrastructure directly from your AI agent
Dev.to · Renato Marinho
From Prompt to Production: Building AI Agents That Actually Work in 2026
Dev.to · Bitpixelcoders
🎓
Tutor Explanation
DeepCamp AI