Context and Isolation: The Key Primitives for AI Agents in Data Platforms

Modern data platforms use deterministic pipelines for predictable query patterns, but Agentic AI introduces a different execution model where agents dynamically explore data systems by probing schemas, issuing iterative queries, validating hypotheses, and refining their approach based on intermediate results. This creates a new class of workload—agentic workflows over enterprise data systems.