How SAS Model Manager can help you:
- Connects data scientists, MLOps engineers, and business analysts.
- Deploys models quickly and integrates with open source.
- Ensures model governance and transparency.
- Easily validates models for high-quality predictions.
- Enables efficient model deployment across multiple environments without recoding.
- Automatically monitors model performance to ensure effectiveness.
- Adapts models to reflect internal or external changes.
- Saves time and resources by automating the model life cycle using a CI/CD approach.
Why choose SAS Model Manager: Key features
- Centralized, searchable repository for all types of models and analytical assets.
- Support for a wide range of deployment options, including cloud, batch, and edge.
- Integration with open source tools and REST APIs for easy access and model management.
- Prebuilt model life cycle templates for collaborative project management.
- Cloud-native architecture of SAS Viya for optimal cloud investment.
Who should choose SAS Model Manager:
- Data scientists and MLOps engineers looking for streamlined model deployment.
- Business analysts requiring governance and transparency in the modeling process.
- Organizations aiming for efficient model lifecycle management and automation.
