Data + Semantic Context = AI Ready | How TK Elevator Built It on Databricks

Most companies jump into AI agents. The agents fail because the data underneath is not AI-ready. TK Elevator breaks down the formula: Data + Semantic Context = AI-Ready Semantic context is data about your data: definitions, schemas, business glossary. It tells humans and agents what a column actually means. On top of that, you need expert and business knowledge: the tribal wisdom from your service teams, captured into the platform. As Marius puts it: "Same for humans as for agents. We need the context to understand the data." How TKE built it on Databricks: → Lakehouse foundation → Unity Catalog for governance → Silver layer to clean and aggregate → Analytics layer for AI-ready use cases → Then AI agents on top Foundation first. Agents second. Learn more at the Data + AI Summit: https://www.databricks.com/dataaisummit/session/fragmented-data-ai-driven-portfolio-impact-digital-operations