Why it matters
How a lakehouse is governed and structured directly determines how many retrieval and tool calls an agent needs to complete a task, so 'data readiness' talks are really talks about agent token overhead.
The tokenmaxxing angle
The 'agent-ready data' framing means poorly governed or fragmented lakehouse tables force agents into extra retrieval and tool-call round trips just to find the right data — a direct driver of per-task token spend.
From the organizers
Speakers Xue Yang (Senior Solutions Architect, Databricks) and Dilorom Abdullah (Databricks MVP/Partner Champion, Practice Director at Lumenalta) present at Indy Hall, 709 N 2nd St, Philadelphia, Mon Aug 3, 5:30-9pm.