Every conversation I have with enterprise developers and architects comes back to a common theme: AI is changing how applications are built, but the hard part isn’t creating a prototype. It’s connecting AI experiences to the trusted data, tools, security models, workflows, and operational practices that enterprises depend on. For many teams, that means connecting Oracle databases with Azure-based workflows including Microsoft Fabric, Azure OpenAI, and GitHub Copilot.
Join us at Microsoft Build 2026 (June 2-3 in San Francisco and online) as we demonstrate how Oracle AI Database@Azure natively integrates Oracle AI Database and Microsoft services to create a unified environment for building enterprise-grade applications.
From AI prototype to enterprise application
A prototype can connect to a sample dataset, call a model, and produce a useful response, but a production application needs to do more. It must work with governed enterprise data, respect security and identity policies, connect across the systems developers already use, and fit into analytics, application development, and platform engineering workflows without requiring creation of a custom integration layer.
At Microsoft Build, we’ll demonstrate how Oracle AI Database@Azure, Oracle MCP, Microsoft Fabric, Azure OpenAI, GitHub Copilot, and Microsoft IQ can help create a practical path from enterprise data to enterprise-ready AI applications. For developers, this could mean using AI-assisted tools and IQ orchestration to connect an application workflow to trusted Oracle data. For data engineers, it could mean moving from data profiling to inference-ready SQL with fewer manual steps. And for AI engineers, it could mean using MCP and the IQ layer to enhance enterprise system accessibility, governance, and reusability for agentic workflows at scale.
We’re hosting 3 sessions at Microsoft Build that cover topics ranging from AI app development and analytics to agentic enterprise workflows.
Build AI Apps with Oracle AI Database@Azure, MCP, and GitHub Copilot (June 3, 2:30pm PDT). This demo session shows how Oracle AI Database@Azure, Oracle AI Database, Microsoft Fabric, GitHub Copilot, and Oracle MCP work together in a secure enterprise AI workflow. Attendees gain practical insights on how natural language and AI-assisted tools help orchestrate work across Oracle and Microsoft services without heavy custom integration. Instead of treating the database, analytics platform, AI model, and developer environment as separate islands, this session shows how they become part of one development pattern.
Improve analytic models with Oracle Data Science Agent and Azure OpenAI (June 2, 12:40pm PDT). Developers, data scientists, and data engineers who care about predictive applications should attend this session as it focuses on turning conversational prompts into more accurate predictions in a governed, developer-friendly workflow. It also explores how Oracle Data Science Agent available with Oracle Autonomous AI Database helps teams profile data from Oracle AI Database and Azure Blob Storage, uncover patterns, train models, and generate inference-ready SQL.
Move from data to intelligence with Oracle MCP and Microsoft IQ (available on-demand). This session shows how Oracle MCP and Microsoft IQ help teams create a broader agentic architecture. For developers and architects, this is important because agentic applications need more than context from documents or chat history. They need governed access to business systems, databases, analytics, and operational workflows. By combining Oracle managed MCP Servers with Microsoft IQ capabilities such as Work IQ, Fabric IQ, and Foundry IQ, teams can explore how agents and assistants reason over enterprise context and act on trusted data.
If you’re building AI applications, modernizing Oracle workloads on Azure, exploring MCP, or looking for practical ways to connect enterprise data with agentic workflows, we invite you to attend these sessions and stop by our booth to meet the Oracle team to discuss your specific questions and requirements.