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
I am a MCT and bring hands-on experience in building AI agents using tools like Microsoft Copilot Studio and Azure AI Foundry. I’ve previously delivered session on topic in this space and is listed on Sessionize. I’m passionate about sharing practical insights and contributing to the community through real-world applications of AI.
I am a Microsoft Certified Trainer (MCT) and Senior Data & AI Engineer at Long View Systems, specializing in Azure services, data engineering, and AI-driven solutions. I work extensively with Azure Data Factory, Microsoft Fabric, Copilot Studio, and enterprise data migration, delivering scalable and efficient production-grade data platforms. I hold a Post Graduate Certificate in Generative AI, a PG Diploma in ML & AI, and a Bachelor’s degree in Computer Science. I am DP-600 and AI-102 certified, with strong expertise in Microsoft Azure data and AI solutions. I also have hands-on experience with Retrieval-Augmented Generation (RAG) and Azure AI Foundry, applying these technologies to build intelligent automation and insight-driven systems. Recognized by clients for clear, precise solution delivery and technical communication, I am passionate about automation, AI, and robotics. Outside of work, I enjoy traveling and have a strong interest in cars.