Sameer Bhagi

The data-as-a-product mindset treats every dataset as a managed business asset-high quality, well documented, discoverable, and built for consumption. Productizing data turns it into a repeatable source of measurable value, not just an engineering byproduct. Databricks accelerates this transformation by helping organizations design, govern, and deliver trusted, AI-ready data products at scale, enabling reuse across analytics, ML, and intelligent automation. Attendees will explore how Databricks, combined with Hexaware, helps activate intelligent agents to orchestrate complex workflows, strengthen governance, lineage, trust, and accelerate delivery of reliable data products. Join us to discover how shifting beyond traditional data architectures unlocks faster, compounded value for data consumers across the organization.

As organizations accelerate their AI and data strategies, traditional data engineering faces growing challenges around scale, complexity and the need for real-time insights. This session will explore how agentic AI, powered by Databricks Agent Bricks, is redefining modern data engineering through autonomous, goal-driven agents that streamline data ingestion, transformation, quality management and orchestration across the data lifecycle. You’ll learn how Agent Bricks activates intelligent agents within the Databricks ecosystem to automate complex data workflows, strengthen governance and accelerate the delivery of trusted, AI-ready data products at enterprise scale.