Continual
Continual, an operational AI platform, simplifies predictive model development on contemporary data layers, supporting major cloud platforms and facilitating ongoing model enhancement.
Description for Continual
Continual is an operational AI platform designed to simplify the development of predictive models on contemporary data layers, catering to both Python and SQL/dbt users within data teams.
Features of Continual
- Compatibility: Supports major cloud data platforms including BigQuery, Snowflake, Redshift, and Databricks.
- Streamlined Procedure: Construct models without complex engineering or MLOPS platforms using SQL or dbt declarations.
- Shared Features: Accelerate model development by distributing features across teams.
- Ongoing Enhancement: Models continuously improve, ensuring up-to-date predictions.
- Direct Storage Configuration: Warehouse-hosted data and models enable easy access with operational and BI applications.
Use Cases for Continual
FAQs for Continual
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Reviews for Continual
0 / 5
from 0 reviews
Ease of Use
Ease of Customization
Intuitive Interface
Value for Money
Support Team Responsiveness
Josie Ross
Definitely improved how I manage my time and priorities.
Ellis Rowe
Elevates my output while reducing overall workload.
Foster Wallace
Helps bring consistency and clarity to even messy or incomplete projects.
Lana Foster
I save a ton of time without cutting corners.
Roland Doyle
Consistency is key and this tool nails that part.
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