SAS
About SAS
SAS Model Manager is a comprehensive platform designed for data scientists and MLOps engineers, facilitating the entire modeling lifecycle from creation to deployment. Its standout feature is the automated Continuous Integration and Continuous Delivery (CI/CD) pipeline, which streamlines MLOps processes and ensures efficient model governance and management for businesses.
SAS Model Manager offers flexible pricing plans tailored to different needs, ensuring value at each tier. Users can request demos to explore customization options and discover the advantages of upgrading. Various special discounts and trials are available, allowing potential users to evaluate the platform without commitment.
SAS Model Manager features an intuitive user interface that simplifies navigation and enhances the overall user experience. Its organized layout allows for easy access to key functionalities, with user-friendly components that support efficient model tracking and management, making it accessible for users of varying expertise.
How SAS works
Users start by onboarding through a straightforward setup process in the SAS Model Manager platform. Once registered, they can easily navigate to the main features, including model creation, validation, and deployment. The no-code interface ensures users can test and validate models effortlessly, while built-in monitoring tools keep track of performance and any drift, enhancing the management capabilities of their analytical models.
Key Features for SAS
Automated CI/CD Pipeline
The automated Continuous Integration and Continuous Delivery (CI/CD) pipeline in SAS Model Manager ensures efficient model deployment and governance. This unique feature streamlines MLOps processes, reducing manual efforts while enabling users to standardize modeling assets and automate alerts for maximizing productivity and compliance.
Model Validation Tools
SAS Model Manager provides easy-to-use model validation tools that facilitate the testing and assessment of scoring logic. This key feature allows users to validate models within the platform, ensuring seamless functionality when moving to production environments, and significantly reduces potential headaches during deployments.
Monitoring and Explainability
Monitoring and explainability tools in SAS Model Manager are essential for identifying data drift and maintaining model accuracy. By providing ongoing performance insights, this feature helps users quickly detect issues, alert stakeholders, and minimize downtime, ensuring consistent model governance and reliability throughout the analytical process.
