Perpetual ML Suite is a single web-based studio for building and operating machine learning models across an organization. It runs on top of your existing data warehouse, so you can work with current datasets and infrastructure without moving data.
Model experiments and comparison
Use the workspace to run experiments, record hyperparameters and metrics, and compare results side by side. This makes it easier to identify strong configurations and shorten the path from an idea to a production-ready model.
Deployment and real-time monitoring
Deploy trained models for batch or streaming use cases. Built-in monitoring tracks key metrics as well as data drift and model drift, helping teams spot quality degradation early and decide when retraining is needed.
Continuous training for business decisions
Perpetual ML Suite can use incoming real-time data to continuously train models. Updated predictions support more stable business decisions while keeping control over the process and a clear history of changes.
