Oracle Autonomous AI Lakehouse: Enterprise Data for AI Agents on Oracle TV at Oracle AI World 2026
Preparing enterprise data for AI agents is challenging when information spans business applications, databases, and multiple clouds, making consistent access, business context, and security essential. Explore how Oracle Autonomous AI Lakehouse helps AI agents work across data sources using a semantic layer and consistent permissions to support more informed business operations. Register for Oracle AI World On Air so you don’t miss a thing from Oracle AI World 2026: https://social.ora.cl/6003BGN9vJ How can organizations prepare enterprise data for AI agents when critical information is spread across applications, databases, and multiple cloud environments? In this Oracle TV segment at Oracle AI World 2026, Nipun Agarwal, senior vice president, database software engineering at Oracle, and Imran Moin, vice president, AI Database product marketing at Oracle, join Oracle TV anchor Kay Malcolm to discuss Oracle Autonomous AI Lakehouse and how it can help businesses connect and manage data for AI-driven workflows. Following Juan's database spotlight session, the conversation explores the challenges organizations face when preparing enterprise data for AI agents. Agarwal and Moin examine what makes data difficult for agents to access and interpret, and how Oracle Autonomous AI Lakehouse is designed to help agents work across different enterprise data sources. One example involves an AI agent that needs information from Oracle Fusion applications, an Oracle database, and another cloud environment. The discussion considers how Autonomous AI Lakehouse can help bring these sources together so agents can work with relevant business information across systems. A central focus is the role of the semantic layer in enterprise AI. Moin explains why providing access to data isn't enough and why AI agents also need to understand what that data means in a business context. The conversation explores how a semantic layer can help connect technical data structures with business terminology and meaning. Data security and access control are also important themes. Agarwal discusses how organizations can maintain consistent permissions as AI agents interact with information across applications, databases, and cloud environments, helping address the governance challenges associated with enterprise AI adoption. The interview also examines how Oracle's approach compares with other lakehouse platforms, what those differences could mean for customers, and what organizations should consider when preparing to use Autonomous AI Lakehouse. Part of Oracle TV's coverage of Oracle AI World 2026, this discussion connects Oracle Autonomous AI Lakehouse with enterprise data integration, semantic understanding, AI agent readiness, and secure access to business information across multiple systems. Like what you learned about Oracle AI World 2026? Subscribe now https://social.ora.cl/60025k87j Follow us here: LinkedIn: https://social.ora.cl/6000B6oR6p X: https://social.ora.cl/6002B6oRDG Instagram: https://social.ora.cl/60095eXDN Facebook: https://social.ora.cl/60065enQp