Building Collaborative AI: Orchestrating Multi-Agent Systems with Google Agent Builder, Google Cloud AgentSpace, and Teradata

In today's data-driven world, the ability to automate complex decision-making processes is a key competitive advantage. Multi-agent AI systems, where multiple specialized AI agents collaborate to solve a problem, are at the forefront of this transformation. This session will provide a comprehensive overview of how to design, build, and deploy multi-agent systems on Google Cloud, leveraging the power of Google's AgentSpace, Google AgentBuilder and the analytical prowess of the Teradata MCP server.

We will explore the core components of a modern, multi-agent architecture, including Google's Agent Development Kit (ADK) and open Agent-to-Agent (A2A) communication protocol along with Teradata MCP Server. Through a practical (conceptual) example of a customer journey analysis system, we will demonstrate how specialized agents can work together to transform a natural language query into actionable business insights.

Attendees will leave this session with a clear understanding of the architectural patterns and best practices for building their own multi-agent systems on Google Cloud with Teradata, and will be inspired to explore how this powerful technology can be applied to their own business challenges.