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Updates on July 28, 2023
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Operational AI platform for modern data stack
Continual is an AI platform for operational purposes that aims to simplify the process of building predictive models on modern data stacks. The platform offers several key features and advantages:
- Compatibility: It is compatible with popular cloud data platforms such as BigQuery, Snowflake, Redshift, and Databricks.
- Simplified process: Building models is made easy as there is no need for complex engineering or MLOPS platforms; models can be built using SQL or dbt declarations.
- Shared features: Model development can be accelerated by sharing features across teams.
- Continual improvement: Models continuously improve over time to ensure up-to-date predictions.
- Direct storage: Both data and models are stored directly on the warehouse, allowing for easy access with operational and BI tools.
Continual caters to various business needs, with use cases including:
- Predicting customer churn to enhance retention strategies.
- Forecasting inventory demand for more efficient supply chain management.
- Estimating 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.
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