Continual is an operational AI platform that simplifies the process of building and maintaining predictive models using simple SQL or dbt declarations. It allows users to create predictive models on popular cloud data storage platforms like BigQuery, Snowflake, Redshift, and Databricks without the need for complex engineering or infrastructures such as MLOPS platforms. Continual models are continually improved, ensuring that predictions are always up-to-date. Data and models are stored directly on the warehouse, making it easily accessible to operational and BI tools.
Continual is a versatile platform that can be used in various business scenarios like predicting customer churn, inventory demand, and customer lifetime value, helping businesses to make informed decisions. It is ideal for modern data teams who love SQL and dbt, but equally accessible to data scientists who can extend the platform by integrating Python. Continual's declarative approach to AI makes it easy to work with for analytics and data teams, allowing them to focus on building
TLDR: AI for Cloud-based predictive modeling using SQL. Copy and paste these prompts into Continual.