Ali Ghodsi, CEO of Databricks, and Scott Guthrie, EVP of Cloud and AI at Microsoft, discuss the plans for deep integration between Azure Databricks and Microsoft OneLake. Learn how unified data access, seamless interoperability, and trusted governance empower organizations to break silos, accelerate AI, and innovate across the Microsoft ecosystem. They’ll also discuss new Azure Databricks integrations being featured at Ignite including SAP Databricks on Azure, Microsoft Copilot Studio, and Microsoft Foundry.

In the era of AI-driven innovation, organizations need databases that are flexible and powerful while also being secure and scalable. This session explores how MongoDB empowers to rapidly build, deploy, and manage intelligent applications through the lens of a developer persona. Diving into our integrations with AI Foundry, Microsoft Sentinel, and Azure Landing Zones, we’ll showcase a complete developer journey—from prototype to production—while ensuring security, and operational excellence.

Dell Technologies and Microsoft harness AI's potential to transform hybrid cloud environments efficiently and securely. Explore the Dell AI Factory and experience Copilot+ in Dell AI PCs, boosting dynamic workflows. Learn how Dell PowerScale for Azure simplifies storage with enterprise-grade solutions tailored for today’s workloads and discover how private cloud with Azure Local reimagines infrastructure with efficiency and control.

DevEx 2.0 means giving developers guardrails that accelerate delivery instead of slowing it. This session shows how continuous security integrates with Azure and GitHub pipelines. You’ll see IDE coaching and SAST at commit. With Microsoft Copilot and Azure OpenAI using GPT-5, developers can cut through false positives and receive actionable fixes directly in the code. Builds include SBOM generation, container scans, and dependency checks. Staging environments add DAST and API testing.

Discover how Pure Storage Cloud enhances Azure VMware Solution by simplifying operations and boosting agility. This session explores the technical foundations of resilient storage with enterprise features and shows how customers can reduce costs across cloud migration, disaster recovery, and hybrid deployments.

Modernizing enterprise applications often stalls in prolonged assessments, opaque dependencies, and unclear ROI. In this on‑demand Microsoft Ignite session, learn how Simform NeuVantage's AI capabilities compresses the path from discovery to production on Azure. We’ll show how AI‑driven portfolio analysis identifies modernization candidates, recommends the right path (rehost, replatform, refactor), and automates some of the key app modernization tasks using safer AI workflows.

Enterprise leaders are driving continuous transformation to stay at the forefront of real-time intelligent growth. Join us to learn how Forza Steel collaborated with Kyndryl and Microsoft to build a unified AI platform with Microsoft Fabric, Power BI, and Azure IoT to drive real-time insights, automation, and predictive analytics across manufacturing, logistics, and finance, as well as migrate their on-prem SAP to RISE on Azure.

This demo showcases Finout’s ability to manage and optimize cloud spend across Azure and services like Kubernetes, Datadog, and OpenAI. It highlights Finout’s unified “MegaBill” view for exploring Azure resources, subscriptions, and tags. The session introduces Virtual Tags for dynamic, rules-based cost allocation and covers shared cost distribution, dashboards, anomaly detection, and alerting—empowering teams to improve Azure cost efficiency.

Oracle Database@Azure empowers organizations to simplify cloud adoption by running mission-critical Oracle workloads with the reliability of Oracle Exadata Database Service and Autonomous AI Database, directly inside Microsoft Azure. In this session you’ll learn how enterprises are modernizing applications, leveraging existing Azure investments, and unlocking new business opportunities through AI-driven insights.

Step into the future of application innovation with Azure AI and autonomous agents. This session explores how intelligent systems can be designed to sense, decide, and act in ways that unlock new levels of adaptability, efficiency, and impact. From apps to agentic workflows, discover real-world strategies for building scalable AI-powered solutions.

Discuss Azure commitment tools, highlight challenges with traditional reservations and savings plans, and show how Archera makes savings simple, automated, and flexible.

Join Mohsin Shafqat (Nasdaq) and Charles Feddersen (Microsoft Azure) as they reveal how Nasdaq Boardvantage leverages Azure Database for PostgreSQL to build secure, scalable governance data management. Discover how this foundation enables high-volume workloads, tenant-level isolation, and AI-driven features – accelerating innovation without compromising compliance.

Azure is redefining the next generation of cloud infrastructure for the AI era - built to power the world’s most ambitious AI workloads and designed for intelligent, automated operations. With innovations like Fairwater AI Super Factories and Azure Copilot, customers can modernize, scale workloads, and operate securely with greater efficiency and resilience. With Azure, organizations have the world’s most advanced cloud for AI and modern infrastructure at their fingertips, to power today and invent tomorrow.

Learn to leverage agent-framework, the new unified platform from Semantic Kernel and AutoGen engineering teams, to build A2A compatible agents similar to magnetic-one. Use SWE Agents (GitHub Copilot coding agent and Codex with Azure OpenAI models) to accelerate development. Implement MCP tools for secure enterprise agentic workflows. Experience hands-on building, deploying, and orchestrating multi-agent systems with pre-release capabilities. Note: Contains embargoed content.

Learn how to build an advanced AI agent using Azure Database for PostgreSQL and Semantic Kernel. This hands-on lab walks you through integrating Retrieval-Augmented Generation (RAG), semantic re-ranking, Semantic Operators, and GraphRAG (using Apache AGE) to enable intelligent legal question answering using real case data. Gain practical AI implementation skills with your own PostgreSQL-backed applications.

This lab provides a comprehensive overview of building, deploying, and securing AI agents. We will start by creating a single agent with Azure Functions and Foundry Agent Service in Microsoft Foundry, then enhance it with Model Context Protocol (MCP) and add data grounding with Azure Cosmos DB. You will also combine the single agents to form a multi-agent system. You will then deploy, manage and secure the application on a Flex Consumption plan.

Join us for a hands-on workshop showcasing the latest Azure SQL innovations to supercharge your applications. Learn how to harness generative AI alongside Azure SQL Database to elevate your data strategies with AI concepts like language models, prompt engineering, Retrieval Augmented Generation (RAG) and streamline with Microsoft Copilot. Whether you're a developer, architect, or IT professional, this workshop is your ticket to mastering SQL and AI to stay ahead in the data-driven landscape.

Join this hands-on lab to learn about Azure Arc for on-prem and multicloud management. In this lab, you will learn how to project and manage resources in Azure - connect on-premises resources and use cloud connector for AWS resources, enforce security policies, and enable monitoring. Whether you’re modernizing existing systems or building new edge capabilities, you’ll gain practical experience to extend Azure’s power everywhere.

Learn how to seamlessly modernize a Linux application stack in Azure. Participants will be able to step through the migration process with a Linux/Postgres/Java application and utilize infrastructure as a code (IaC) for scale migrations.

In this hands-on lab, discover how to govern AI Apps & Agents using AI Gateway in Azure API Management. Learn to apply governance best practices by onboarding AI models, monitoring and controlling token usage, enforcing safety and compliance, and boosting performance with semantic caching. You’ll also govern MCP-based agent architectures by creating secure, efficient servers from APIs or connecting to backend MCP servers, equipping you to deliver responsible, resilient AI solutions at scale.