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