AI & Agents

Shreyas Canchi Radhakrishna, Mayur Jain

This session is primarily about ai & agents within the Microsoft Fabric and SQL ecosystem. AI agents are becoming integral to business workflows, enabling users of all technical levels to explore and understand data more intuitively, and Microsoft Fabric’s Data Agents are at the forefront of this transformation. In this tutorial, you’ll dive into how Fabric empowers you to build, configure, and optimize a Data Agent. You’ll learn best practices for curating high-quality data inputs, configuring agents, and leveraging rich features to turn raw data into actionable insights. *Please note that this workshop is hands-on and requires attendees to bring a laptop to participate.

Nellie Gustafsson, Markus Weimer

This session is primarily about ai & agents within the Microsoft Fabric and SQL ecosystem. This session will cover how Fabric brings AI to your data using interoperable Data Agents that work across the AI ecosystem to unlock deeper insights. You’ll also learn how AI-powered data engineering and data science capabilities help teams create intelligent, enterprise-ready solutions.

Yitzhak Kesselman, Tessa Kloster

This session is primarily about ai & agents within the Microsoft Fabric and SQL ecosystem. Fabric unifies your data estate in OneLake, converges your real-time and analytical workloads into a single data platform, and layers a semantic foundation with ontologies to form a unified intelligence platform. It empowers teams and AI agents with a shared, governed understanding of the live state of your business and the operational actions to affect outcomes. Grounded in real-time signals from Fabric Real-Time Intelligence and shared context from Fabric IQ, teams and AI can reason in the language of your business and operate in tandem to drive measurable impact on your business objectives.

Misha Desai, Amir Jafari

This session is primarily about ai & agents within the Microsoft Fabric and SQL ecosystem. Learn how to build and deploy smarter data agents in Fabric. We’ll show how to add richer context, connect new data sources, and use the latest intelligent capabilities. You’ll also see how to enable your agent in MCP, Teams, M365, Foundry, and more—making insights available to users wherever they work.

Bradley Ball

This session is primarily about ai & agents within the Microsoft Fabric and SQL ecosystem. Build RAG patterns in minutes. We’ll show data agents, prompts, complex queries, and connecting to Microsoft Fabric data. Explore Copilots across services—what they are, how they differ—extend data agents from Fabric to Copilot Studio, to Microsoft Teams, M365 Copilot, Microsoft Foundry, and the Python SDK. After we build this out, let's test Row Level and Column level security in our agents!

Prashant G Bhoyar

This session is primarily about ai & agents within the Microsoft Fabric and SQL ecosystem. Explore Microsoft Fabric’s integrated Data Science experience across ideation, preprocessing, modeling, & deployment. Learn how to ingest and prepare data via OneLake and Lakehouse, leverage Notebooks, Data Wrangler, Spark, SynapseML, MLflow for experimentation, & operationalize predictions with batch scoring and Power BI direct integration. Also, learn to build generative AI Q&A systems using Fabric Data Agents.. Participants will receive access to Microsoft Fabric & Azure to perform the labs. *Please note that this workshop is hands-on and requires attendees to bring a laptop to participate.

Farzad Sunavala, Miquella de Boer

This session is primarily about ai & agents within the Microsoft Fabric and SQL ecosystem. Join us for a strategic look at how OneLake and Foundry enable you to build AI apps that retrieve enterprise knowledge at scale. We'll show you how to unify all your data—across clouds and on-premises—into a single data lake and then highlight patterns for building agentic workflows that plan, reason, and iterate across this governed data, moving beyond RAG to orchestrate intelligent task flows.

Prasanth Tammiraju, Manisha Jha

This session is primarily about ai & agents within the Microsoft Fabric and SQL ecosystem. Our team has built a Supply Chain Management Solution for a Customer that deals with sustainable packaging for perishable products. Learn how Microsoft Fabric along with AI Foundry Agents helped this company achieve its targets and automate the whole process. We will focus on the Customer Case Study and the technical implementation details. Customer will share their experience during this session.

Santosh Tiwari

This session is primarily about ai & agents within the Microsoft Fabric and SQL ecosystem. This session introduces how Agentic AI combined with MS Fabric transforms data engineering and vibe analytics. How autonomous, goal-driven agents automate ingestion, transformation, and data quality with adaptability and governance? With Fabric’s unified offerings and vibe analytics on sentiment and behavior, organizations gain a faster, scalable, intelligent data ecosystem for smarter decisions.

Mehul Thacker

This session is primarily about ai & agents within the Microsoft Fabric and SQL ecosystem. Discover how to build an AI-powered Master Data Management solution on Microsoft Fabric. Learn how AI models identify duplicates, enrich data, and create a reliable golden record. See practical patterns that improve data quality, downstream analytics, and enterprise operational efficiency.

Logan Finke, Luis Baldini

This session is primarily about ai & agents within the Microsoft Fabric and SQL ecosystem. AI and agentic applications are reshaping how businesses operate—moving from manual processes to intelligent, proactive workflows. Microsoft Fabric provides the unified data foundation that makes these innovations possible. In this session, you’ll hear real stories from customers who have embraced AI and agentic apps, showcasing how Fabric enabled them to accelerate insights, automate operations, and unlock new value across their organizations.

Kati Iceva, Italo Lima

This session is primarily about ai & agents within the Microsoft Fabric and SQL ecosystem. Manually monitoring pipelines, handling incidents, and executing workflows doesn't scale and it burns out your team. Operations agents in Microsoft Fabric provide true autonomy by handling these tasks independently. Explore how to architect agents that monitor pipelines, respond to incidents, and execute complex workflows without human intervention. Learn to configure agent rules, establish governance guardrails, and scale your operations with AI-driven reliability.

Farzad Sunavala, Chafia Aouissi

This session is primarily about ai & agents within the Microsoft Fabric and SQL ecosystem. Join Microsoft experts for a strategic look at Fabric IQ and Foundry IQ—how they bring business meaning to data and unify enterprise knowledge to ground every agent. See roadmap updates across semantic modeling, multi‑source retrieval, governance, and observability that move you beyond basic RAG to trustworthy, scalable agentic workflows.

Virginia Roman, Rana Singh

This session is primarily about ai & agents within the Microsoft Fabric and SQL ecosystem. Explore how AI functions in Microsoft Fabric can enhance the way you work with data. In this session, we’ll share the latest updates, highlight new capabilities, and walk through practical examples that demonstrate how AI functions can enrich datasets, surface insights, and streamline workflows.

Tom Eastlake, Jason Miles

This session is primarily about ai & agents within the Microsoft Fabric and SQL ecosystem. Learn how digital workers, supported by the Agent Framework and digital workforce management best practices, can run your Fabric data estate. Discovery, Observability, Continuous Optimization, Quality & Drift are just some of the key workloads that can be automated using agents. See how you can identify and implement the digital worker roles which make the most sense for your enterprise.

Omer Colakoglu

This session is primarily about ai & agents within the Microsoft Fabric and SQL ecosystem. This session demonstrates how to build an AutoML-driven pipeline inside Azure SQL to process and optimize vector data. Learn how to automatically profile datasets, select the best embedding model and parameters, and improve retrieval accuracy using adaptive evaluation and feedback loops.

Treb Gatte

This session is primarily about ai & agents within the Microsoft Fabric and SQL ecosystem. Connecting AI agents to company data across SharePoint, databases, and documents is complex. Foundry IQ + Fabric IQ provide secure, unified access through one API. Learn to connect agents to multiple sources, configure permissions, use Agent Factory for deployment, and ensure agents understand business context, not just raw data.

Sara Lammini Rodriguez, Monica Calleja

This session is primarily about ai & agents within the Microsoft Fabric and SQL ecosystem. In today’s AI-driven world, the integration of data, analytics tools, and AI agents is more critical than ever. This session focuses on how AI agents, Power BI, and other Fabric capabilities can be integrated to implement a real-world solution. We will demonstrate how to ingest and process data, train and deploy predictive models, create conversational experiences, and perform intelligent analytics to address a common business challenge. Join us to explore how these technologies work together to deliver impactful, production-ready solutions.

Gopinath Sankaran, Ajay Gollapalli

This session is primarily about ai & agents within the Microsoft Fabric and SQL ecosystem. Organizations struggle to trust their data - to contextualize and operationalize it safely for AI driven decision-making. As enterprises move beyond dashboards and reports towards agentic AI systems that reason, decide and act, the limitations of fragmented data platforms, inconsistent definitions and disconnected governance are impossible to ignore. Trusted context enabled by clean, governed and connected data is the critical ingredient in enterprise AI success. This session highlights strategies for bringing multi-domain master data management, data quality, governance, privacy and policy enforcement, and end to end lineage to ensure that every dataset consumed by analytics, BI and AI agents is trusted, governed and ready for AI agents to reason with enterprise truth.