From Unstructured Multi-Modal Data to Agentic AI

As organizations move toward more autonomous AI, the biggest challenge isn't models—it's turning unstructured data into trusted context AI systems can actually use. Documents, images, and other content hold critical enterprise knowledge, but too often they remain disconnected from the tools teams use to build and run AI.

In this LinkedIn Live session, leaders from Teradata and Unstructured discuss how their partnership brings unstructured data processing directly into Teradata AI Studio, where teams build and operate AI workflows. You’ll hear how content is parsed, chunked, enriched, and stored in Teradata Enterprise Vector Store, creating a reliable foundation for retrieval and agent experiences—all within a single, governed platform.

In this conversation, you'll learn:

• How unstructured data becomes trusted context for AI and agents 
• Why Teradata Enterprise Vector Store is critical for scalable, enterprise AI 
• How Teradata is evolving its platform to activate enterprise knowledge 

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