Hear how Commerzbank drives agentic AI at scale and discover how agents in Microsoft Foundry meet enterprise standards for identity, connectivity, extensibility, and lifecycle management. We’ll dive into Entra Agent ID, networking configuration, full agent lifecycle support, custom tool integration, and provisioning of tenant-level tool and agent catalogs. If you're deploying agents across your organization, this session is your blueprint for secure, scalable, and governable solutions.

In the AI era, customers will lean on you—their trusted channel partner—to navigate agents, intelligent applications, and broader cloud needs. We're expanding the power of the partner ecosystem through Microsoft Marketplace to support our partners in channel-led sales at scale. Discover practical strategies across diverse dealmaking scenarios to grow your business and deepen your Microsoft partnership.

In an AI-first world, enterprises want to innovate and move fast to stay competitive. Too often, enterprise innovation stalls in “pilot purgatory.” The difference between experimentation and impact is having the right partner to bring new ideas safely into production.

Join this session to learn how Microsoft helps enterprises unlock their innovation potential. Through real-world examples, you’ll hear how AI leaders are moving faster and scaling smarter, responsibly.

Delivered in a silent stage breakout.

Join us for an exclusive look at our innovative 2025 solutions, where intelligent AI transforms your Teams rooms. Discover AI-powered devices that automate meeting routines, create seamless collaboration, and deliver personalized, immersive experiences. This is the new vision for smart workspaces, built on ten years of innovation. Celebrate a decade of Yealink-Microsoft partnership as we unveil the future!

Experience the power of the newly launched NVIDIA Blackwell GPUs, designed to accelerate a wide array of workloads including video streaming, graphics rendering, product design, digital twins, and AI development. Explore the latest GPU offerings with Azure Cloud and learn how to leverage Azure Local for cost-effective hybrid deployments of cutting-edge use cases. We will also provide sizing recommendations and deployment options for various workloads.

North America’s leading diagnostics laboratory partnered with Tata Consultancy Services (TCS) to reimagine its patient requisition management system using Microsoft Azure AI. Historically, lab requisition processes were fragmented and relied on manual steps, causing inefficiencies. TCS implemented an Azure AI-infused cloud solution automating workflows across 500+ patient centers, processing 20,000+ requisitions daily with 30% higher efficiency and <5 min SLA. This collaboration showcases how Azure AI drives innovation and digital transformation in healthcare diagnostics.

What if you could always pick the perfect model, instantly? See Foundry Model Router make split-second decisions that save money and boost performance. Live demos, real results, and actionable takeaway, so you can start routing smarter with Microsoft Foundry, the competitive edge your AI team needs.

Discover Adobe's AI-first strategy to get ahead of the challenges of surging content demands, evolving discovery and engagement, and disconnected technologies. Explore examples in this session that show how teams working on marketing specific use cases can leverage Adobe and Microsoft’s interoperable AI tools with Microsoft Foundry to connect workflows, expand team capacity, deliver personalization at scale with enterprise-grade trust and controls.

AI is revolutionizing how work gets done, and you as a partner play a critical role in helping customers improve productivity and transform business processes with AI solutions. Join this session to learn about how to develop a comprehensive GTM strategy that enables you to successfully go to market and monetize across Copilot, Copilot Chat and agents.

Discover how effective prompting and advanced models like GPT-5 elevate Microsoft 365 Copilot Chat into a smarter, context-aware productivity tool. This session highlights new capabilities—session memory, voice, and extensibility—and how Microsoft is responding to market shifts with trusted, differentiated innovation. Ideal for leaders integrating Copilot Chat into their AI strategy.

Delivered in a silent stage breakout.

Discover best practices for managing updates on Windows. Learn how to enable hotpatch updates—the recommended way to keep devices secure with the latest updates. See how easy it is to use Windows Autopatch for update deployment, management, and (now) update readiness and reporting! We also cover what it means for Windows to be an agentic OS and how you can manage AI capabilities for Windows in your environment today.

Make accurate time series predictions with powerful pretrained foundation models! You don’t need to spend weeks—or even months—coding and training your own models for time series forecasting. Time Series Forecasting Using Foundation Models shows you how to make accurate predictions using flexible pretrained models. In Time Series Forecasting Using Foundation Models you will discover: The inner workings of large time models Zero-shot forecasting on custom datasets Fine-tuning foundation forecasting models Evaluating large time models Time Series Forecasting Using Foundation Models teaches you how to do efficient forecasting using powerful time series models that have already been pretrained on billions of data points. You’ll appreciate the hands-on examples that show you what you can accomplish with these amazing models. Along the way, you’ll learn how time series foundation models work, how to fine-tune them, and how to use them with your own data. About the Technology Time-series forecasting is the art of analyzing historical, time-stamped data to predict future outcomes. Foundational time series models like TimeGPT and Chronos, pre-trained on billions of data points, can now effectively augment or replace painstakingly-built custom time-series models. About the Book Time Series Forecasting Using Foundation Models explores the architecture of large time models and shows you how to use them to generate fast, accurate predictions. You’ll learn to fine-tune time models on your own data, execute zero-shot probabilistic forecasting, point forecasting, and more. You’ll even find out how to reprogram an LLM into a time series forecaster—all following examples that will run on an ordinary laptop. What's Inside How large time models work Zero-shot forecasting on custom datasets Fine-tuning and evaluating foundation models About the Reader For data scientists and machine learning engineers familiar with the basics of time series forecasting theory. Examples in Python. About the Author Marco Peixeiro builds cutting-edge open-source forecasting Python libraries at Nixtla. He is the author of Time Series Forecasting in Python. Quotes Clear and hands-on, featuring both theory and easy-to-follow examples. - Eryk Lewinson, Author of Python for Finance Cookbook Bridges the gap between classical forecasting methods and the new developments in the foundational models. A fantastic resource. - Juan Orduz, PyMC Labs A foundational guide to forecasting’s next chapter. - Tyler Blume, daybreak An immensely practical introduction to forecasting using foundation models. - Stephan Kolassa, SAP Switzerland

Discover how to supercharge analytics and AI workflows using Azure Databricks and Microsoft Fabric. This hands-on lab explores native AI/BI features in Azure Databricks, including ML-powered insights and real-time analytics. Learn multiple ways to serve data to Power BI, with a deep dive into Direct Lake mode with Fabric. Ideal for developers, data scientists, data analysts, and engineers modernizing BI with lakehouse architecture in the AI era.

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, 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.

You’ve built a great agent that your customers love—now it’s time to scale. By bringing your agent to Microsoft Teams with the Teams AI Library v2, you can reach 330 million users and unlock rich collaborative experiences across chats, meetings, and channels.

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

This hands-on lab guides you through how developers and partners can build solutions, agents and extensibility features that can be delivered through Dragon Copilot, leveraging Microsoft’s scale to expand reach and engagement.

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.

In this lab, you'll get hands-on with the AI Toolkit (AITK) and Microsoft Foundry in VS Code to explore and compare the latest multimodal and reasoning models from the Model Catalog. Learn how to augment models for a real-world business scenario, using prompt and context engineering. Prototype an agent using the AITK Agent Builder, and equip the agent with the right tools via the Model context Protocol (MCP).

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

Edge computing is revolutionizing industries by enabling real-time data processing, reducing latency, and powering smarter decision-making. AT&T’s robust 5G and fiber networks, integrated with Microsoft Azure Edge solutions, provide the infrastructure for innovations like smart factories, predictive maintenance, and hybrid work environments. Together, these capabilities are driving efficiency and transforming operations across diverse sectors.

Discover how Elasticsearch’s powerful vector database capabilities and the robust Azure AI Foundry Agent Framework combine to power smarter agents. View how to synthesize information from diverse data sources and how to use A2A and MCP for orchestrating complex tasks. Learn how to design and apply intelligent agents for scalable information retrieval, task coordination, and integration across systems.