Build AI apps where your enterprise data already exists – Learn more at Microsoft Build.

Applications of AI


Every conversation I have with enterprise developers and architects comes back to a common theme. That’s because AI is changing the way we build applications, but the hard part isn’t prototyping it. We connect AI experiences to the trusted data, tools, security models, workflows, and operational practices that enterprises rely on. For many teams, this means connecting Oracle databases to Azure-based workflows such as Microsoft Fabric, Azure OpenAI, and GitHub Copilot.

please join us Microsoft build 2026 (June 2-3 in San Francisco and online), we will show you how Oracle AI Database@Azure natively integrates Oracle AI Database with Microsoft services to create an integrated environment for building enterprise-grade applications.

From AI prototypes to enterprise applications

A prototype can connect to a sample dataset, call a model, and generate a useful response, but a production application needs to do more. It must work with managed 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 the creation of custom integration layers.

At Microsoft Build, we will 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 means using AI-assisted tools and IQ orchestration to connect application workflows to trusted Oracle data. For data engineers, this can mean moving from data profiling to inference-ready SQL with fewer manual steps. And for AI engineers, this can mean using MCP and IQ layers to enhance the accessibility, governance, and reusability of agent workflows in enterprise systems at scale.

Microsoft Build will feature three sessions covering topics ranging from AI app development and analytics to agent-based enterprise workflows.

Build AI apps with Oracle AI Database@Azure, MCP, and GitHub Copilot (June 3, 2:30 PM 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 will gain practical insights into how natural language and AI-assisted tools can help coordinate work across Oracle and Microsoft services without extensive custom integration. This session shows how databases, analytics platforms, AI models, and development environments can become part of a single development pattern, rather than treating them as separate islands.

Improve your analytical models using Oracle Data Science Agent and Azure OpenAI (June 2, 12:40 PM PDT). Developers, data scientists, and data engineers interested in predictive applications should attend this session, as it focuses on turning conversational prompts into more accurate predictions in a managed, developer-friendly workflow. We also discuss how the 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 inferrable SQL.

Move from data to intelligence with Oracle MCP and Microsoft IQ (available on demand). In this session, you’ll learn how Oracle MCP and Microsoft IQ can help your team create a broader agent architecture. This is important for developers and architects because agent applications require more than context from documents and chat history. Requires controlled 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 determine enterprise context and act on trusted data.

If you’re building an AI application, modernizing your Oracle workloads on Azure, considering MCP, or looking for a practical way to connect your enterprise data to agent workflows, join us for these sessions, meet the Oracle team, and stop by our booth to discuss your specific questions and requirements.



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