Case Study: America First Credit Union achieves 3-4x productivity gains with Hopsworks Feature Store

America First Credit Union optimized their MLOps stack with the Hopsworks Feature Store

America First Credit Union, one of the largest credit unions in the United States, needed a better way to support enterprise AI and fraud prevention use cases while bringing operational and analytical data into machine learning workflows. The team wanted faster feature development, a more flexible Python-based environment for data scientists, tighter integration with existing warehouse and model development processes, and a path from on-premises systems to the cloud. To address this, they turned to Hopsworks and its Feature Store.

With Hopsworks Feature Store, America First Credit Union modernized its MLOps stack by moving from Oracle SQL-centric workflows to PySpark and using HopsFS instead of Oracle RDBMS. Hopsworks improved testing, feature reuse, collaboration, and online feature publishing, while simplifying the codebase and making it easier to ramp up new employees. The result was a 3-4x productivity gain and ROI within 6 months, with a much simpler and more effective machine learning pipeline.

America First Credit Union