Feature engineering continues to be a big challenge in machine learning (ML) for both model development and deployment. This becomes even more challenging if ML models power insights in real time for use cases such as fraud detection, personalization, and more. 

Join us to learn more about Upside’s journey in addressing this challenge by building a feature store that powers a platform that connects users with local merchants by offering personalized promotions in real time. 

At the end of this session, you will have a better understanding of:

  • Feature stores and the benefit they provide to accelerate model development and streamline path to production
  • Upside’s feature store design approach to meet the growing demand of ML to disrupt brick-and-mortar commerce
  • Benefits achieved from the deployment of a feature platform with both an offline and online store
  • Raazia Ali,

    Engineering Manager, Data and Machine Learning, Upside

  • Ryan Rollings

    Senior Machine Learning Engineer, Upside

  • Julian Forero

    Senior Product Marketing Manager, Snowflake

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