Harness AI: Unleash Microsoft Fabric Copilot | #CopilotChronicles

Join us in this hands-on session as we explore how Copilot integrates seamlessly across Power BI, Data Factory, and other Microsoft Fabric experiences. Through intuitive, natural language queries, Copilot enables data professionals and citizen developers alike to: •Generate powerful visual reports and actionable insights using AI-driven recommendations in Power BI. •Automate complex data transformation pipelines in Data Factory, significantly reducing the time to go from raw data to analysis-ready datasets. This session will feature a live demo where you’ll see Copilot in action—transforming the way you work with data, automating mundane tasks, and empowering you to focus on impactful decision-making. This session will focus on showcasing the capabilities of Microsoft Fabric Copilot. The session will emphasize how Copilot can transform the way data professionals work with large datasets by: •Automating data transformation tasks in Data Factory. •Enhancing report generation and visualization in Power BI through AI-driven insights. The live demo will walk attendees through each of these scenarios, offering a comprehensive look at how Copilot can reduce manual effort, improve efficiency, and deliver actionable insights, making it a vital tool for data-driven decision-making. The session is designed to appeal to both data engineers and business leaders by demonstrating practical, AI-powered solutions that they can implement to enhance their organization’s data strategy. What will the attendees learn from this session? 1.AI-Driven Data Automation: Attendees will learn how Microsoft Fabric Copilot can automate complex data transformation tasks, reducing manual effort in workflows using tools like Data Factory. They’ll see how Copilot can generate data pipelines and transform data using simple natural language inputs. 2.Enhancing Reports with Power BI: The session will demonstrate how Copilot leverages Power BI to automatically generate insights, create repo