In this interview from the Nvidia GTC AI Conference and Expo in San Jose, Vrashank Jain of Dell Technologies joins Steve Kearns of Elastic to talk with theCUBE + NYSE Wired's Gemma Allen about how their partnership is turning decades of untapped unstructured enterprise data into fuel for AI agents and production AI factories. Both companies earned a mention in Jensen Huang's keynote, and Jain explains that with over 4,000 AI factory customers, Dell has watched enterprise challenges shift from power and cooling to the data problem. Kearns highlights how Elastic's hybrid search — combining keyword and vector retrieval — ensures agents pull the right context from massive unstructured data stores, preventing compounding errors as agentic workflows loop through multiple reasoning steps. The conversation also explores the security imperative driving a dramatic shift to on-premise AI. Kearns details how Elastic enforces document-level security at the data store itself, ensuring that agents can only access what their credentials permit regardless of the application layer calling them. Jain describes a fundamental change in how enterprises think about data: the destination is no longer a dashboard but an agent, pushing organizations to build modular "data products" scoped to specific contexts and governed at the product layer. Real-world use cases range from manufacturing technicians querying decades of equipment documentation to healthcare providers summarizing clinical notes. The pair also touches on sovereign AI and smart city initiatives, where municipal planners in emerging cities are beginning to leverage data platforms for real-time decision-making. From Dell's position as the first OEM to ship the GB300 to Elastic's GPU-accelerated vector database, the discussion provides a practical roadmap for how tightly integrated infrastructure and retrieval technology can close the gap between AI promise and enterprise production outcomes.