Continual

Continual is an operational AI platform designed to simplify predictive model building on modern data stacks. Key features and advantages include: Compatibility: Works with popular cloud data platforms like BigQuery, Snowflake, Redshift, and DatabricksSimplified process: No need for complex engineering or MLOPS platforms, build models using SQL or dbt declarationsShared features: Accelerate model development by sharing features across teamsContinual improvement: Models improve over time, ensuring up-to-date predictionsDirect storage: Data and models stored directly on the warehouse for easy access with operational and BI tools Use cases for Continual cater to various business needs: Predict customer churn to improve retention strategiesForecast inventory demand for efficient supply chain managementEstimate customer lifetime value to optimize marketing efforts Designed for modern data teams, Continual is accessible to both SQL and dbt enthusiasts as well as data scientists integrating Python.