Build AI Agents on Enterprise-Scale Data Using Teradata’s MCP Server
Enabling everyone in the enterprise to make data-driven decisions has been a challenge. The friction of learning about data structures and accessing languages like SQL are frequent barriers.
Teradata’s MCP server eliminates these friction points through a natural language interface that leverages AI agents. This provides unprecedented semantic access to enterprise data. Built on Teradata Vantage®, the MCP server and agentic framework enable querying, analysis, and management of data with full context. It turns users into drivers of trusted knowledge.
View this live demo of Teradata’s MCP server, integrated with the latest agentic toolset. Discover how this modular, AI-powered framework transforms enterprise data management through intelligent automation and secure, efficient operations.
You’ll learn how to:
- Democratize exploratory data analytics across your entire data estate
- Use agentic AI to simplify and automate data platform administration
- Rapidly deploy agentic AI applications targeted to your own business data and processes
- Seamlessly integrate enterprise feature and vector stores into your agentic architectures
Presenter(s):
Daniel Tehan
Senior Director, Ecosystem Architecture at Teradata
Daniel is an enterprise architect with a focus on driving the future of analytics. He has led teams around the world, most recently leading the architecture practice in the Americas. Daniel holds a BE from Melbourne University in software engineering.
Remi Turpaud
Ecosystem Architecture Specialist at Teradata
Rémi is one of Teradata’s global architecture leaders, currently focused on the European markets. Previously, he led Teradata’s Ecosystem Architecture team for Asia Pacific and Japan and was earlier acting as a Solutions and Data Architect advising customers across Europe and Asia. Rémi and his team are delighted to have the opportunity to support their key customers and partners planning and driving with architecture to solve, at scale and consistently, the most complex analytics problems.