Collaborative AI in Action: Foundations for Multi-Agent Systems with Google Cloud and Teradata

In today’s data-driven world, automating complex decision-making processes is a key competitive advantage. Multi-agent AI systems—where multiple specialized AI agents collaborate to solve problems—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 Gemini Enterprise, Google AgentBuilder, and the analytical capabilities of the Teradata MCP server, all orchestrated through Vertex AI Agent Engine. We will explore the core components of modern multi-agent architecture, including Google’s Agent Development Kit (ADK), the open Agent-to-Agent (A2A) communication protocol, and Teradata MCP Server. Using a conceptual example of a customer journey analysis system, we will demonstrate how specialized agents can collaborate to transform natural language queries into actionable business insights. Key Takeaways: How to design, build, and deploy multi-agent systems on Google Cloud Leveraging Gemini Enterprise, AgentBuilder, and Vertex AI Agent Engine for scalable solutions Integrating Teradata MCP Server for advanced analytical capabilities Understanding the Agent Development Kit (ADK) and Agent-to-Agent (A2A) communication protocol Practical example: customer journey analysis powered by multi-agent collaboration Architectural patterns and best practices for enterprise-ready multi-agent systems Inspiration to apply multi-agent AI technology to real-world business challenges Register today!