AI isn’t the future of data platforms. It’s the now. In this episode, learn how to extend your Fabric setup into an AI-native environment with practical use cases and Microsoft tools. 

🧠 What You'll Learn: 

• Preparing Bronze–Silver–Gold layers for AI workloads 

• Where AI delivers value: anomaly detection, forecasting, pattern recognition 

• Using Copilot in Fabric and Power BI – strengths and limitations 

• Integrating Azure ML, Python notebooks, and pre-trained models 

• Keeping models explainable, secure, and enterprise-ready 

👥 Who Should Attend: 
BI professionals, analytics leads, data engineers, and anyone bridging clean data with smart insights. 

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This is the last episode in a three-part series. Looking for more? Check out episode 1: 'Fix the Foundation – Is the Medallion Architecture in Microsoft Fabric Worth It?,'  and episode 2: 'Build It to Scale – How to Implement a Medallion Architecture in Microsoft Fabric.'