SAS Model Manager

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.