SAS
About SAS
SAS Model Manager is designed for data scientists and MLOps engineers, streamlining the entire analytics modeling lifecycle. From model creation to validation and deployment, it ensures efficient management and governance. Its unique features allow users to integrate open-source tools and automate CI/CD processes, enhancing collaboration and productivity.
SAS Model Manager offers diverse pricing plans tailored for different user needs. The base plan provides essential features, while premium tiers unlock advanced functionalities like enhanced monitoring and custom CI/CD integration. Upgrading allows users to maximize model management efficiency, making investment in SAS invaluable for organizations seeking improvement.
SAS Model Manager boasts a user-friendly interface with a clean layout that facilitates easy navigation through its robust features. Users can manage models effortlessly, access validation tools, and leverage monitoring capabilities, creating a seamless experience. This design prioritizes usability, enhancing workflow efficiency for data scientists and MLOps engineers.
How SAS works
Users begin by signing up for SAS Model Manager, where they can onboard their analytical models effortlessly. The platform guides them through creating, validating, and monitoring models with an intuitive no-code interface. Collaborative features connect data scientists, MLOps engineers, and stakeholders seamlessly, while robust governance tools optimize model deployment and efficiency throughout the lifecycle.
Key Features for SAS
Automated CI/CD Pipeline
The automated Continuous Integration and Continuous Delivery (CI/CD) pipeline in SAS Model Manager maximizes efficiency by streamlining model deployment processes. This unique feature reduces manual efforts and enhances collaboration, allowing teams to focus on innovation while maintaining consistent model performance and governance standards.
Model Monitoring Capabilities
SAS Model Manager's monitoring capabilities illuminate data and model drift, enabling proactive alerts on model decay. This ensures continuous compliance and governance, minimizing downtime. The feature adds significant value by maintaining model accuracy and fairness, essential for organizations leveraging AI in their decision-making processes.
Model Validation Interface
The no-code model validation interface in SAS Model Manager simplifies testing and validating model scoring logic. This user-friendly feature empowers data scientists to ensure model reliability without requiring extensive coding knowledge, enhancing efficiency and confidence in model performance before deployment.
