What is Continual?
Continual is a user-friendly AI platform that streamlines the process of creating predictive models on modern data stacks. It is compatible with leading cloud data platforms such as BigQuery, Snowflake, Redshift, and Databricks. With this, users can easily build models using SQL or dbt declarations without requiring extensive engineering or MLOPS expertise. The platform allows teams to share features, accelerate model development, and continuously improve models for accurate predictions. Data and models are stored directly on the warehouse for seamless access with operational and BI tools.
Continual Features:
Compatibility with popular cloud data platforms like BigQuery, Snowflake, Redshift, and Databricks
Simplified process for building predictive models using SQL or dbt declarations
Shared features to accelerate model development across teams
It improvement to ensure up-to-date predictions
Direct storage of data and models on the warehouse for easy access with operational and BI tools
Continual Benefits:
Improved retention strategies through predicting customer churn
Efficient supply chain management through forecasting inventory demand
Optimized marketing efforts through estimating customer lifetime value
Streamlined process for building predictive models without requiring extensive engineering or MLOPS expertise
Seamless access to data and models stored directly on the warehouse for operational and BI tools
Use Cases:
Predicting customer churn to improve retention strategies
Forecasting inventory demand for efficient supply chain management
Estimating customer lifetime value to optimize marketing efforts