As organizations accelerate their cloud adoption, robust security for your Infrastructure as a Service platform is more critical than ever. This session will provide a comprehensive exploration of Azure’s security architecture, best practices, and innovations across four pillars: foundational security, compute security, network security, and storage security. Attendees will gain actionable insights to strengthen their cloud posture, ensure compliance, and protect sensitive workloads.

Discover how you can use AI for PowerShell and Azure CLI to boost automation and simplify complex commands. We’ll showcase how AI can generate scripts on demand, guide you through best practices, and help enforce governance and security policies confidently. Through practical demos, see how natural language prompts can automate tasks, apply guardrails, and secure your estate.

Discover how Microsoft and top media partners are reshaping Media & Entertainment with AI and the Microsoft Cloud. Learn how Azure, Fabric, and generative AI are powering faster content creation, smarter workflows, and immersive audience experiences—featuring real-world innovations in storytelling, distribution, and monetization.

Dive into the latest compute innovation at the core of Azure IaaS. This session highlights key compute advancements across performance, cost optimization, scalability, reliability, and security designed to make both new and existing workloads run faster, more efficiently, and more securely. Whether you're running mission-critical enterprise apps or scaling cloud-native services, discover how these innovations are unlocking new value for customers and get a preview of what’s coming next.

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.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Learn how to build an advanced AI agent using Azure Database for PostgreSQL and the new Microsoft Agent Framework. 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.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

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.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

Azure IaaS can deliver excellent performance and scalability across a broad range of workloads. With high-throughput storage, low-latency networking, and intelligent auto-scaling, Azure supports demanding apps with precision. Learn how to optimize compute, storage, and network resources to meet performance goals, reduce costs, and scale confidently across global regions. Dive into the latest capabilities Azure Boost, Compute Fleet, Azure Virtual Machines, Azure Storage and Networking offer.

Run open-source AI models of your choice with flexibility—from local environments to cloud deployments using Azure Container Apps and serverless GPUs for fast, cost-efficient inferencing. You will also learn how AKS powers scalable, high-performance LLM operations with fine-tuned control, giving you confidence to deploy your models your way. You’ll leave with a clear path to run custom and OSS models with agility and cost clarity.

Whether you have basic or mature cloud cost management practices in your organization, AI workloads add specific considerations. Learn how AI usage correlates to cost, what to monitor, and how to drive accountability for your AI investment, with Azure tools and industry best practices.

Learn how the Microsoft Federal team is modernizing SAP ERP with RISE on Microsoft Cloud. This includes High SLA infrastructure on Azure Government, SAP BTP integration, and AI-powered monitoring. Discover how Defender and Sentinel secure workloads, and how sovereignty solutions support compliance. Gain practical lessons and insights from a real-world deployment for regulated industries.

In this session, we'll deep dive into how Azure Monitor delivers end-to-end observability across your cloud and hybrid environments, helping you detect issues early and reduce mean time to recovery. We'll also share how new Copilot in Azure agents can extend this visibility into actionable cost and carbon efficiency insights—helping you identify optimization opportunities, validating recommendations, and streamlining resource performance for business impact.

As organizations aim to be more data-driven, integrated, scalable, and collaborative platforms are vital. Azure Databricks delivers unified data analytics for processing, AI, and real-time insights. Its full potential emerges within the integration with the Microsoft ecosystem. This session shows how Azure Databricks serves as the data and AI backbone while empowering users to leverage Microsoft solutions like Power BI, Power Apps and Microsoft Foundry for advanced, real-time decision-making.

In this hands-on lab, you’ll build a Knowledge Base using agentic RAG, the next evolution of retrieval in Azure AI Search. Connect your agentic retrieval engine to your data through smart source selection across multiple indexes and storage systems. Learn how to enhance planning using natural language guidance and generate grounded responses with citations or extractive answers tailored to your use case. By the end, you’ll have a fully functional Knowledge Base that responds over enterprise data.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

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.

Please RSVP and arrive at least 5 minutes before the start time, at which point remaining spaces are open to standby attendees.

With cyberattacks on the rise amid the growth of AI applications, having a robust, secure network environment for all your workloads is more essential than ever. Join this session to hear from network security experts on how to improve your security posture through Azure Network Security products including Azure Firewall and Azure DDoS Protection in combination with Microsoft Defender for Cloud. Hear announcements of new capabilities for both and see a live demo of successful DDoS mitigation.

Discover how partners can help their customers turn business ideas into real impact - with AI apps and agents. Learn proven strategies for helping customers build AI Centers of Excellence, scale success, and transform organizations with Azure’s full-stack capabilities. Hear what sets Azure’s tech stack apart from the rest for AI to achieve this; what works—and what wins—from Microsoft and partner leaders.

Training efficiency starts with precision. This session explores Azure supercomputing validation—from GPU kernels to LLAMA pretraining and large-scale model training. The process detects bottlenecks early, reduces cost, and boosts performance. Customers gain predictable throughput, faster training, and confidence in Azure’s readiness for multi-billion parameter models. Attendees will gain practical insights and engage directly with the engineers driving these innovations.

Learn how to protect, detect, and rapidly recover your most critical workloads—across Azure VMs, databases, file shares, and cloud native applications like AKS. Modernize backups with secure by default protection and immutable storage, use intelligent signals, and orchestrate clean, at scale restores. We’ll cover threat aware backups, container aware protection, and one click DR to help you recover with confidence while meeting your RPO/RTO goals and compliance needs.

Old production machines, little data – big potential. In this 25‑minute theater session, see how to retrofit non‑invasive sensing, unify signals in Microsoft Fabric, and apply Azure AI to boost yield, increase throughput, and cut warranty claims. We’ll live‑demo turning a low‑data line into actionable insights and service triggers in Dynamics 365 – then hand you a 30‑60‑90‑day blueprint, reference architecture, and checklists you can use right away.