SAS
About SAS
SAS Model Manager is designed for data scientists and MLOps engineers, streamlining analytical model lifecycles from creation to deployment. Its innovative features, including seamless integration with open-source tools and automated CI/CD pipelines, help users efficiently manage model assets and monitor their effectiveness, solving complexity in model governance.
SAS Model Manager offers flexible pricing plans including a free trial, enabling users to explore its capabilities. Standard plans offer comprehensive features for model management and deployment, while premium options provide advanced analytics integrations and support. Upgrading enhances automation, efficiency, and access to exclusive resources.
SAS Model Manager boasts a user-friendly interface that simplifies model management tasks. Its clean layout and intuitive navigation allow users to access features seamlessly. The platform includes customized dashboards and detailed project tracking, ensuring an optimized experience while promoting effective model deployment and monitoring.
How SAS works
Users start with SAS Model Manager by signing up for an account and accessing the intuitive dashboard. The platform guides them through model creation, validation, and deployment processes. Leveraging no-code interfaces, users validate model scoring logic, integrate projects seamlessly, and monitor performance using automated alerts, enhancing overall operational efficiency.
Key Features for SAS
Seamless model integration
SAS Model Manager excels in seamless model integration, connecting data scientists, MLOps engineers, and stakeholders while ensuring compatibility with open-source tools. This unique feature enhances collaboration and model deployment efficiency, allowing for smoother transitions from development to production environments and addressing complex modeling demands effectively.
Automated CI/CD pipelines
The automated CI/CD pipelines in SAS Model Manager optimize model management processes. This feature minimizes manual efforts and maximizes operational efficiency, enabling quick updates and deployments. Users can standardize their modeling assets, ensuring a streamlined approach to Continuous Integration and Delivery throughout the model lifecycle.
Model performance monitoring
SAS Model Manager offers advanced model performance monitoring to detect data, concept, and model drift. This feature illuminates changes over time and alerts stakeholders to potential issues, ensuring models remain accurate and effective in production, which is crucial for maintaining performance and minimizing downtime.
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