On-Demand Webinar

How to Use Feast Feature Store for Fintech?
[A Live Demo on Credit Scoring]

Understanding a feature store as a data management tool for machine learning, which allows users to share features and create robust ML pipelines, is important for data scientists and engineers.

Feature stores helps MLOps with better collaboration, faster development and deployment of models in production, better model accuracy, speeds up use case adoption, democratize ML, and more.

Join our webinar to learn what Feast is as an open-source feature store, how it serves features in production, operationalizes your analytics data, tracks and retrieves features for training and inference, and a live demonstration on how it helps the Fintech space in credit scoring cases.

Watch On-Demand

What can you learn?
  • What is a feature store? How Feast helps?
  • How to setup Feast in an AWS environment?
  • What challenges do MLOps address?
  • How could Feast make a sustainable Feature Store infrastructure?
  • A live demo on real-time credit scoring via Feast
Hassan Sherwani

Hassan Sherwani

Head of Data Analytics and Data Science at Royal Cyber Inc.

Umer Qaiser

Senior Data Scientist at Royal Cyber Inc.

* Restrictions apply

Watch Webinar On-Demand