Continual Features
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 Databricks
Simplified process: No need for complex engineering or MLOPS platforms, build models using SQL or dbt declarations
Shared features: Accelerate model development by sharing features across teams
Continual improvement: Models improve over time, ensuring up-to-date predictions
Direct 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 strategies
Forecast inventory demand for efficient supply chain management
Estimate 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.
Visit Website
