Build AI Apps with Oracle AI Database@Azure, MCP, and GitHub Copilot | DEMSP382

Parthasarathy Srinivasan and Rajya Laxmi Yellajosyula demonstrate a multi-cloud, enterprise AI workflow that combines Oracle Database@Azure with Microsoft Fabric, MCP, and GitHub Copilot, covering provisioning, synthetic data creation, ETL from bronze to gold, and an end-to-end fraud detection demo driven by natural-language orchestration.

Overview

This Microsoft Build 2026 demo session walks through building a secure enterprise AI workflow that spans Oracle and Microsoft platforms:

The scenario centers on setting up a fraud detection example, including provisioning and data preparation, then using Copilot + MCP to reduce custom integration work when orchestrating tasks across Oracle and Fabric.

Session chapters (from the video description)

Session introduction and overview (0:00)

Demo 1: Fraud detection system setup (00:03:22)

Creating synthetic data and automating SQL with Copilot (00:06:08)

Demo 2: Autonomous Database integration (00:11:16)

Copilot identifies Fabric MCP server and tools (00:14:14)

Data engineering: ETL from bronze to gold (00:15:59)

Validating a REST API and setup in VS Code with Copilot (00:19:56)

Building a semantic model and data agent in Fabric (00:21:02)

Microsoft and Oracle collaboration (00:24:01)