SAS
About SAS
SAS provides innovative tools for AI and analytics professionals with SAS Model Manager, designed to streamline model management. This user-friendly platform simplifies the model lifecycle, enabling teams to efficiently create, validate, deploy, and monitor models while ensuring compliance and governance throughout the process.
SAS Model Manager offers flexible pricing options tailored to various user needs. Subscriptions provide access to advanced features, ensuring efficient model management. Explore tiered plans that cater to individual or enterprise requirements, making it cost-effective while presenting valuable benefits for users looking to enhance their analytics capabilities.
SAS Model Manager boasts an intuitive interface designed for seamless navigation. Its clean layout facilitates easy access to features, enhancing user experience with straightforward task execution. The platform's unique dashboard provides actionable insights, empowering users to efficiently manage and monitor their model assets effortlessly.
How SAS works
Users begin their journey with SAS Model Manager by signing up for an account, allowing them to access powerful model management features. The platform simplifies onboarding with guided tutorials. Users can then create models, validate them through a no-code interface, deploy in diverse environments, and monitor performance in real time, ensuring optimal model efficiency.
Key Features for SAS
Automated CI/CD Pipeline
The automated Continuous Integration and Continuous Delivery (CI/CD) pipeline in SAS Model Manager accelerates model deployment. It maximizes efficiency by reducing manual efforts and standardizes model assets, ensuring a superlative experience for data scientists and MLOps engineers looking to streamline their model management processes.
Model Validation
SAS Model Manager offers robust model validation tools, enabling users to test and validate scoring logic effortlessly. By ensuring models function correctly in production environments, users gain confidence in their outputs, fostering trust in analytical results and improving decision-making processes.
Model Monitoring
With SAS Model Manager's monitoring capabilities, users can effectively track data and model performance over time. Active alerts for model decay and drift facilitate proactive adjustments, optimizing model reliability and ensuring sustained effectiveness in rapidly changing environments, ultimately reducing costly downtime.
