What is SAS Model Manager?
SAS Model Manager is a model management platform for registering, validating, deploying and monitoring analytical models in a centralized environment. It supports SAS, Python, R and other models, with capabilities for model versioning, performance monitoring, governance and automated MLOps processes.
How SAS Model Manager works
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Unify model assets
Track projects, models and their supporting artifacts for simplified model management. SAS Model Manager’s advanced features allow you to govern, organize and navigate your modeling lineage and versioning to rapidly and responsibly find what you need.
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Validate models
Reduce headaches by ensuring models run within SAS Model Manager and production environments. Easily test models, validating model scoring logic from an easy-to-use, no-code interface.
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Deploy models in minutes
Package your model efficiently and simply for deployment across environments, including in-database, on-premise or in the cloud—with no time wasted.
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Monitor, detect, alert & repeat
Illuminate data, concept and model drift through ongoing monitoring with built-in explainability. Extend and customize to meet your needs. Alert stakeholders of model decay to minimize costly downtime.
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Streamline MLOps processes
Maximize efficiency and reduce manual efforts with SAS Model Manager’s automated Continuous Integration and Continuous Delivery (CI/CD) pipeline. Standardize your modeling assets for repeatable, customizable automation and tailor alerts to keep the right people informed.
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Get nutrition labels for your models
Assess whether AI models are accurate, fair and transparent using model cards.
See SAS Model Manager in action
Explore how organizations streamline their journey from sandbox to production with SAS Model Manager
