In this moment, excerpted from the session “Maximizing Retention and ROI with Fabric AI for Churn Prediction,” Zain Baquar, Lead Technical Consultant, HSO, compares processes before Fabric and now with Fabric, as it simplifies their work significantly through deployment pipelines.
Key Takeaways
- Before Fabric: Before Fabric, processes were very code-heavy, and much time was spent working with data engineers. Now, with Fabric, everything is consolidated into one place, from data source management to tables and more.
- Consolidation: From an MLOPs perspective, they had to custom-write statistics and model diagnostics. Zain emphasizes the value of Fabric, consolidating all of these elements.
- An easier process: Fabric makes the process easy through deployment pipelines to move artifacts from one environment to another.
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