Governed Data & Analytics using Oracle's AI Data Platform

As organizations look to move beyond legacy BI tools and bring AI into everyday decision-making, governance often becomes the deciding factor between a successful rollout and a stalled one. This session walks through how to build that governed foundation using Oracle's analytics and AI platform. Attendees will leave with:

1. A Governed Semantic Layer as the Foundation — How Oracle Analytics Cloud's semantic model provides one trusted source of business logic and metrics that holds up across dashboards, reporting, and AI-driven queries.
2. A Unified, Curated Data Foundation — How the Oracle AI Data Platform's lakehouse architecture brings structured and unstructured data together with consistent security, lineage, and access controls.
3. Extending Trust into AI and Agentic Use Cases — How governed data and semantic definitions carry forward into generative AI and agent-driven workflows, so AI-generated insights stay accurate and explainable rather than becoming a new source of risk.

Speakers:
Darren Grogan, Master Principal Solution Engineer, Oracle Corporation
Dianne DeNezza, IT Engagement Leader, University of Pittsburgh