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Scalable Real-Time Feature Serving at Coalition with Snowflake and dbt

Published Date

In order to democratize access to cybersecurity for everyone, Coalition uses machine learning to optimize the insurance price and coverage that will help them win new client’s business from a competitor. To make the most accurate predictions on an ongoing basis, calculated features must be presented in a secure, scalable and repeatable manner to their models for offline and online inference. 

Join this session to learn about:

  • Benefits of storing and serving features in Snowflake
  • How Coalition built and developed a real-time feature computation with Snowflake + dbt
  • Lessons learned through implementation and future considerations