Data Science Track

Wednesday 1:45 PM - 2:45 PM · B308-B309

CORENOTE: The Future of AI in Microsoft Fabric: Data Agents and Beyond

Markus Weimer

Markus Weimer

Engineering lead, AI @ Fabric

Nellie Gustafsson

Nellie Gustafsson

Microsoft, Principal Product Manager

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.

Wednesday 1:45 PM - 2:45 PM · C102

Mastering Fabric Data Agents: From Setup to Success

Marc Lelijveld

Marc Lelijveld

Data Platform MVP | Technical Evangelist | Solution Architect Data Solutions & Insights

Fabric data agent has been available for a while, yet many implementations fall short of expectations. Without the right design, the agent may struggle to align with business context, produce inconsistent outputs, or require heavy manual intervention.

In this session, learn how to design smarter, more reliable agents by fine-tuning Agent Instructions, using the Data Agent SDK and training data sources.

Wednesday 4:25 PM - 5:25 PM · C211-C213

AI in Action: Microsoft Fabric for Data Science

Sadiq Ahmed

Sadiq Ahmed

Quantum Technology Inc

In this fast-paced, discover how Microsoft Fabric streamlines the entire AI workflow—from data exploration to model deployment. You’ll learn how to use it for data science, train models, and generate predictions all within Fabric’s unified analytics platform. Perfect for data professionals and AI enthusiasts looking to get started with Fabric in just one hour.

Thursday 8:00 AM - 9:00 AM · C302

Accelerating Data and AI with Azure Databricks

Isaac Gritz

Isaac Gritz

Lead Solutions Architect, Databricks

Robert Saxby

Robert Saxby

Director of Product Management, Databricks

Get the most out of your investments with Azure Databricks. Learn how the deep integration in the Azure ecosystem accelerates workloads, optimizes performance, and maximizes value. See how the Databricks Data Intelligence Platform on Azure streamlines analytics and AI.

Thursday 10:10 AM - 11:10 AM · TMB 4

Building and Deploying Smarter Data Agents in Microsoft Fabric

Amir Jafari

Amir Jafari

Senior Product Manager

Misha Desai

Misha Desai

Principal Product Manager

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.

Thursday 11:30 AM - 12:30 PM · C105-C106

Microsoft Fabric AI: Copilots, Data Agents & Real‑World Extensions

Bradley Ball

Bradley Ball

Microsoft - Sr. Technical Program Manager

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!

Thursday 2:00 PM - 3:00 PM · C105-C106

Powering Data with AI Functions in Fabric

Rana Singh

Rana Singh

AI Engineering Manager - Microsoft Fabric

Virginia Roman

Virginia Roman

Senior Product Manager, Microsoft

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.

Friday 8:00 AM - 9:00 AM · C301

Trusted Contextual Data Foundation for reliable AI outcomes

Ajay Gollapalli

Ajay Gollapalli

Solution Director (Azure) , Informatica

Gopi Sankaran

Gopi Sankaran

Vice President, Strategic Ecosystems, Informatica

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.

Friday 11:30 AM - 12:30 PM · C105-C106

Autonomous Fabric: Agentic Data Quality Using Fabric Data Agents

David Mills

David Mills

ArcAzure IT Consulting - Senior Azure Data Architect

Data Quality issues drain engineering time and weaken business confidence in data platforms.

What if Fabric Data Agents could detect DQ issues autonomously, analyse their root cause, and guide engineers directly to a fix?

This session demonstrates the full architecture with a live demo - capturing DQ signals, triggering agent-led investigations, and integrating agent outputs into ETL pipelines.

Friday 2:00 PM - 3:00 PM · C111-C112

Forget Prompts: Building Declarative AI Pipelines in Fabric

Sandeep Pawar

Sandeep Pawar

Principal Program Manager

Prompt engineering is powerful but brittle. Hard to scale, harder to maintain. Learn how to build declarative AI pipelines in Microsoft Fabric to tame unstructured data and unlock insights. Discover pitfalls, tools, and techniques to optimize and deliver successful solutions

Friday 2:00 PM - 3:00 PM · C105-C106

Build Smarter Analytics Assistants with Fabric Data Agents and Copilot Studio

Piotr Prussak

Piotr Prussak

Sr Delivery Director & Architect

Learn how to connect Microsoft Fabric data agents with Copilot Studio to deliver intelligent, conversational analytics. This session covers modeling best practices, schema design, grounded responses, testing patterns, and decision guides for choosing when and how to expose semantic models and data agents to copilots.

Friday 3:15 PM - 4:15 PM · C202-C204

Building MLOps for Traditional ML in Microsoft Fabric

Nicholas Leonhard

Nicholas Leonhard

Machine Learning Engineer at Missouri University of Science and Technology

Discover how Microsoft Fabric enables a modern Machine Learning Operation for Traditional ML. Attendees will observe a practical approach to building ML pipelines using Notebooks, Lakehouses, Pipelines, Environments, and Experiments. We'll also explore custom spark pools, data manipulation tools, and machine learning libraries.