Overview

Evaluate the data foundation for your next AI use case

Join Oracle for an in-person technical summit focused on a practical question: how can your organization use enterprise data for AI without creating more silos, unnecessary data movement, or governance gaps?
Through a demo-led keynote, four focused sessions, and a guided hands-on lab, you will see how to give AI trusted business context, put Oracle operational data to work where it resides, create a medallion data pipeline when curation adds value, and design an open AI Lakehouse architecture across cloud, multicloud, and on-premises environments.

The program concludes with a lab in which participants build an AI agent grounded in governed enterprise data. Bring a priority use case and leave with a clearer view of the data, architecture, controls, and next step required for a proof of concept or deployment.

Why attend

• Put Oracle AI Database, Exadata, data warehouse, object storage, and Apache Iceberg data to work for analytics and AI.
• Improve AI grounding with business semantics, catalog metadata, consistent definitions, and governance.
• Decide when federated access is sufficient and when a bronze, silver, and gold medallion data pipeline adds value.
• Evaluate an open architecture for cloud, multicloud, and on-premises environments, including Live AI Hub.
• Apply the complete pattern in a guided lab and identify the inputs required for your POC or deployment.

Who should attend

Data and AI leaders; data platform owners and architects; data engineers and analytics practitioners; AI/ML and application builders; security and governance leaders; and line-of-business IT sponsors.