Uploaded May 2026 | Updated September 2026, 3 weeks ago

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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: databricks.com/dataaisummit/session/fragmented-data-ai-driven-portfolio-impact-digital-operations