Simulated Experience

Fabric Data Science Agent transforms Zava’s raw customer and operational data into predictive, AI-driven insights by automating the "explore-model-predict-act" cycle. It eliminates manual complexity by leveraging Copilot-powered notebooks, unified Lakehouse data, and MLflow for end-to-end model lifecycle management. By combining scalable Spark processing with AI-assisted code generation and advanced models like LightGBM, it enables rapid churn prediction, customer segmentation, and personalized recommendations—empowering teams to proactively improve retention, optimize revenue strategies.

Last updated 2026-07-20