Perpetual ML Suite
Accelerate machine learning workflows in modern data warehouses 100x faster
Target Audience
- Data engineers
- Business analysts
- Enterprise analytics teams
Hashtags
Overview
Perpetual ML Suite is a low-code AI solution built directly into your data warehouse. It lets teams train models 100x faster than traditional methods while automatically updating them with new data. Business users get explainable predictions and confidence intervals without needing GPUs or ML expertise, making it ideal for time-sensitive analytics decisions.
Key Features
100x Faster Training
Skips hyperparameter tuning with patented generalization algorithm
Continual Learning
Updates models incrementally without retraining from scratch
Confidence Metrics
Built-in conformal prediction for reliable decision boundaries
Vendor Portable
Works natively in Snowflake, coming to Databricks next
CPU-Only
Runs on existing warehouse hardware without GPUs/TPUs
Use Cases
Automate tabular data predictions
Forecast time series trends
Optimize learning-to-rank algorithms
Analyze geographic data patterns
Monitor model performance shifts
Pros & Cons
Pros
- Eliminates GPU dependency for cost savings
- Continuous model improvement without manual retraining
- Enterprise-grade scalability in native SQL environment
- Transparent confidence intervals for business decisions
Cons
- Currently only supports Snowflake warehouses
- Primarily focused on tabular/text data vs multimedia
- Requires existing data warehouse infrastructure
Frequently Asked Questions
What types of machine learning does this support?
Supports tabular data tasks (classification/regression), time series analysis, learning-to-rank, and text classification using embeddings.
Which data warehouses are supported?
Currently available for Snowflake, with Databricks and others coming later.
Do I need special hardware to run this?
No GPUs/TPUs required - runs on standard data warehouse compute resources.
Integrations
Reviews for Perpetual ML Suite
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