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AI/ML

Artificial Intelligence/Machine Learning

data_science algorithms predictive_analytics

9014

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2020-Q1 2026-Q1

Activities

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“On Air at Microsoft Ignite” will deep dive into key announcements with expert interviews, demonstrations, and real-world applications for all the latest news. ​​

Hour 2 will feature:​ Azure Accelerate in action: Confidently migrate, modernize, and build faster: Cyril Belikoff​ Cisco: Patrick Eustace​ Dell: Kenny Lowe​ Build secure agentic AI apps with SQL Server 2025: Sirjad Parakkat & Anna Hoffman​ IBM: Nigel Cain​ PwC: Scott Sikorski

Looking to add on-device AI to your apps? Not sure how to get started? Join our lab to learn how to integrate local AI capabilities into your Windows apps using Windows AI APIs. Discover how to implement Semantic Search and Retrieval-Augmented Generation (RAG) to power intelligent information retrieval, and use Phi Silica for on-device text processing. This lab will walk you through key APIs, and best practices to build on-device AI solutions for Copilot+ PCs. Developers of all levels welcome.

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

In this fast-paced theater session, discover how Microsoft Fabric simplifies data unification with Mirroring and Shortcuts. Instantly connect to any data source—cloud, on-prem, structured or unstructured—without duplication or ETL. Learn how OneLake and its catalog turn connected data into actionable insights for BI and AI at scale.

AI-assisted migration: The path to powerful performance on PostgreSQL

Apollo Hospitals unlocked faster performance and sped up innovation by migrating to Azure Database for PostgreSQL. Ready to move beyond your legacy databases? Join us to learn how to make the move seamless with AI-assisted migration for Oracle workloads. Plus, hear how a move to Azure enables innovation and explore the latest features that deliver the resilience and extensibility needed to bolster your databases to support more intelligent applications and demanding workloads.

Build Partner Advantage: Drive Key AI Use-Cases with Azure Tech Stack

The session will highlight the most popular market trends and use-cases in building apps and agents for customers, and how partners can use the full Azure tech stack - app, data, and AI platforms, with the world's most popular developer tools, to offer their customers the solutions they need. The session will cover resources made available to partners to be successful.

From VMs and containers to AI apps with Azure Red Hat OpenShift

Discover how organizations can simplify operations and reduce costs with Red Hat OpenShift Virtualization on ARO—running containers and virtual machines together on a unified platform. Then hear from Bradesco, who will share how they are advancing their AI strategy with Microsoft Foundry on ARO, leveraging Microsoft's enterprise-grade AI capabilities to innovate securely and at scale.

Introducing Microsoft Foundry Tools

AI agents need tools to take actions and complete their workflow; tools that can parse documents, transcribe call recordings, do custom translation--all with LLMs wrapped within them. In this session, we are introducing a new suite of production-ready tools in Microsoft Foundry, designed to seamlessly plug into your agentic AI apps, either using APIs or as MCP servers.

Partner: Scale SMBs Operations with AI
breakout
by Paloma Alarco (Microsoft) , Tom Paquin (Microsoft) , Levent Bakirci (Microsoft) , Rob Young (Infinity Group)

Discover how Dynamics 365 Business Central empowers over 45K small and medium-sized companies to connect finance, sales, service, and operations with AI. In this session, unlock your ‘Scale Business Operations with AI’ CSP opportunity through learning Microsoft’s offerings and key go-to-market investments, partner best practices, and actionable insights to elevate your execution.

Power next-generation AI workloads with NVIDIA Blackwell on Azure

The era of agentic and physical AI is here. The NVIDIA Blackwell architecture delivers groundbreaking advancements for next-gen AI and accelerated computing workloads ranging from reasoning and multimodal inference, to robotics simulation and visual AI agents. Explore how the purpose-built collaboration of NVIDIA Blackwell Ultra and NVIDIA RTX PRO 6000 Blackwell tackle a range of AI use cases leveraging the security and flexibility of Microsoft Azure cloud - delivering smarter, faster and more efficient AI.

Resolve cases faster in service with agentic CRM

Learn what’s new in agentic service and how organizations are evolving toward frontier service models with Dynamics 365. See how collapsing legacy systems and unifying platforms enables more autonomous operations—improving CSAT, lowering costs, and strengthening security and compliance. Explore new opportunities and use cases that span customer service and IT help desk, powered by AI, extensibility, and secure, integrated data.

Scale AI transformation in complex business environments

AI transformation isn’t a future aspiration—it’s here, it’s complex, and it’s redefining how work gets done across the enterprise. In this interactive conversation, we'll go beyond vision to execution. Designed for business and technical leaders alike, this session aims to deliver candid insights, real demonstrations, and practical use cases that show what it can actually take to scale AI in enterprise environments and shift to a program mindset.

SharePoint: The Knowledge Platform for Copilot and Agents

Curious how SharePoint powers Copilot and agent responses to be smarter, faster, and more relevant? Learn how SharePoint’s latest AI innovations—like the Knowledge Agent—transform it into an intelligent curator that automates content organization and enrichment. With Knowledge Agent curating content and no-code agents built in SharePoint specializing in tasks, you’re ready to unlock AI-powered experiences in Copilot.

Delivered in a silent stage breakout.

Learn how Windows enables agentic workflows via MCP, connecting native apps, tools, and AI agents. This session covers MCP server development—packaging, security, and MCP Registry integration—and how agents use built-in/custom MCP servers to automate tasks across Windows. Discover how MCP delivers secure, scalable, and extensible AI experiences for users and enterprises.

“On Air at Microsoft Ignite” will deep dive into key announcements with expert interviews, demonstrations, and real-world applications for all the latest news. ​​

Hour 1 will feature:​ Preview: What’s new with Azure Databases and SQL Server: Shireesh Thota ​ Lenovo: Adam Mandelbloom​ Your Next Move: Skilling for the AI Era with Microsoft: Jeana Jorgensen​ Securing AI at Scale: Microsoft’s Latest Innovations: Herain Oberoi​ C3 AI: Nikhil Krishnan

Data engineering is undergoing a fundamental shift. In this episode, I sit down with Nick Schrock, founder and CTO of Dagster, to discuss why he went from being an "AI moderate" to believing 90% of code will be written by AI. Being hands on also led to a massive pivot in Dagster’s roadmap and a new focus on managing and engineering context. We dive deep into why simply feeding data to LLMs isn't enough. Nick explains why real-time context tools (like MCPs) can become "token hogs" that lack precision and why the future belongs to "context pipelines": offline, batch-computed context that is governed, versioned, and treated like code. We also explore Compass, Dagster’s new collaborative agent that lives in Slack, bridging the gap between business stakeholders and data teams. If you’re wondering how your role as a data engineer will evolve in an agentic world, this conversation maps out the territory Dagster: dagster.io Nick Schrock on X: @schrockn

AI is evolving fast - and the next big leap is Multimodal AI, where systems can see, hear, speak, and understand across text, images, and sound. It’s transforming how organizations innovate, automate, and make decisions. Join us for a 60-minute live session to explore how multimodal AI is reshaping industries, driving business intelligence, and creating new competitive advantages. What you’ll learn: How multimodal AI differs from traditional models; Real-world business use cases transforming operations; Strategies to prepare your organization for the multimodal future; Key tools and skills for leveraging AI innovation.