Srivathsan RL

Most data teams have modernized to the lakehouse — but the data value chain is still manual, fragmented and slow. Engineers jump between discovery, modeling, pipelines, quality checks, governance and ops, stitching together tools and workflows that don’t scale with AI. This lightning session shows what comes next. You’ll see how Agent Bricks act as the production‑grade foundation for building intelligent, cost‑aware agents on Databricks — and how Data Value Chain Agents turn the end‑to‑end lifecycle into a coordinated, autonomous system. Using Cognizant’s Agentic AI–driven Data Value Chain, we’ll walk through how domain‑specific agents for discovery, modeling, engineering, quality, governance and operations collaborate through orchestration — not handoffs. This is not a theoretical future. You’ll learn how teams are moving from pipelines to agent‑orchestrated workflows, where engineers shift from writing glue code to directing intelligent agents that continuously optimize.