Continual

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