Most Spark cost tools stop at dashboards and recommendations, and savings stall when nobody has time to act on them. Agents can close that gap, but LLMs alone aren’t enough. They need production-aware context, the ability to act while pipelines run, and guardrails that keep every change safe.

In this session, definity CEO Roy Daniel breaks down what it takes to bring agentic cost optimization to production, and how full-stack context, runtime control, and built-in validation let agents cut Spark costs continuously without putting pipelines at risk.