Case Study: Paddy Power accelerates feature engineering with Hopsworks

Paddy Power - Customer Case Study

Paddy Power, the Irish gambling company, needed a better way to engineer and share features for its horse racing pricing models and anti-cheat lookups. Its data scientists struggled with SQL-based pipelines, limited Python support in Redshift, poor feature discoverability, and a lack of centralized storage, metadata, and collaboration across teams.

Hopsworks helped Paddy Power integrate its Feature Store with existing AWS SageMaker workflows, giving teams a central place to browse reusable features, inspect statistics and metadata, and reuse pipelines across training and serving. With Hopsworks, Paddy Power improved feature quality, sped up feature engineering and model development, and moved models to production faster, helping improve model performance and revenue.

Paddy Power