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Continual
Operational AI platform for modern data stack

Pricing
Free Trial$ 399/mo
Tool Info
Rating: N/A (0 reviews)
Date Added: November 23, 2022
Categories
Code AssistantSQL
What is Continual?
Continual platform is an AI tool that streamlines the process of creating predictive models on contemporary data stacks.
Key Features and Benefits
- Continual AI Tool for Modern Data Teams
- 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:
- 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:
- Accessible to both SQL and dbt enthusiasts as well as data scientists integrating Python.
Use Cases
- Continual is a tool designed for modern data teams that can be accessed by both SQL and dbt enthusiasts as well as data scientists integrating Python.
- It can predict customer churn to improve retention strategies.
- Continual can forecast inventory demand for efficient supply chain management.
- It can estimate customer lifetime value to optimize marketing efforts.
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