[AWS Summit Seoul 2026] AI-Ready Data: In the Age of Agentic AI, Data Is the Answer

Agentic AI differentiates itself from existing chatbots in that it performs actual actions through reasoning and planning, going beyond simple question answering. For this autonomous action not to lead to accidents, AI-Ready Data that allows AI to clearly understand business context is essential.

Since AI cannot read between the lines of data the way people do, business context must be explicitly defined through a Semantic Layer. The semantic layer acts as a 'bridge of meaning' between the LLM and data while maintaining the existing data architecture.

For successful implementation, the following 4 barriers must be resolved step by step.

• Context Barrier: Exploring information through vector search (RAG)
• Connection Barrier: Defining relationships between entities through knowledge graphs
• Reasoning Barrier: Defining business rules through ontologies
• Trust Barrier: Securing reliability that can explain the grounds for results

Building a semantic layer is not a task for the technical team alone. Since the domain knowledge of data producers must necessarily be incorporated, an operating model in which producers, consumers, and the technical team collaborate must be established first.