In the era of intelligent agents and generative AI, data is not just an input - it is the differentiator. This session focuses on the strategic importance of data in designing, building, and deploying high-performing AI agents. Whether you're using Microsoft Copilot Studio, Azure AI services, or building custom RAG (Retrieval-Augmented Generation) pipelines, the success of your solution hinges on how well your data is curated, connected, and consumed. We’ll explore end-to-end data strategies — from identifying the right data sources to optimizing them for retrieval and grounding. We'll also discuss how semantic search, vector databases, metadata enrichment, and feedback loops contribute to relevance, accuracy, and adaptability in AI agents. Key Takeaways: -Understand the data lifecycle in AI agent development -Learn how to identify, structure, and prepare enterprise data for grounding and RAG -Explore best practices for data governance, compliance, and quality -Discover how to use vector search and semantic indexing for better contextual responses -Design feedback loops for continuous learning and improvement of AI outcomes Join us to uncover why great AI agents begin with great data - and how a solid data strategy can elevate your AI initiatives from functional to truly intelligent.

Today, data professionals are expected to do more than just manage and transform data-they need to unlock intelligence, automation, and actionable insights from it. In this session, we’ll explore how Microsoft Fabric makes data engineering simpler with powerful pipelines, and how these pipelines can feed AI-powered Data Agents. These agents don’t just analyze data—they reason over it, provide contextual insights, and surface intelligence through Power Platform apps, Copilot Studio, and AI Foundry, making insights and actions accessible to both internal and external users. Through a live, step-by-step demo, you’ll see how to: -Build a Fabric data pipeline to ingest, clean, and transform raw data -Publish curated data into a Lakehouse and semantic model for business-ready insights -Create a Data Agent that can reason over Fabric data -Connect the agent to Copilot Studio, and AI Foundry, enabling intelligence and automation to flow into apps, workflows, and external systems This session is designed for data professionals familiar with SQL and analytics platforms who want to take their skills to the next level—moving from pipelines and dashboards to intelligent, agent-driven solutions. Attendees will leave with practical knowledge and a clear roadmap to turn their data into actionable AI-powered experiences. Key Takeaways -Understand Microsoft Fabric’s role as the backbone for intelligent data solutions -Learn how to build and orchestrate scalable Fabric pipelines -Discover how to create AI-powered Data Agents that interact with enterprise data -See how to connect agents with Copilot Studio, and AI Foundry to expose intelligence externally -Gain hands-on, demo-driven insights to implement agentic data solutions in real-world projects