SAS
About SAS
SAS Model Manager simplifies the analytical modeling process for data scientists and MLOps engineers. It offers streamlined deployment, management, and governance of models, along with monitoring features that detect data drift. By integrating with open-source tools, SAS Model Manager accelerates the journey from model creation to production.
SAS Model Manager offers a variety of pricing plans tailored to meet diverse user needs. Each subscription tier provides unique features, and special discounts are available for longer commitments. Upgrading enhances model management capabilities, ensuring efficient deployment and improved monitoring—vital for optimizing model performance.
SAS Model Manager boasts a user-friendly interface that facilitates seamless navigation and management of analytical models. Its layout promotes efficient workflow, while features like no-code validation and CI/CD pipelines enhance user experience, making managing the modeling lifecycle intuitive and effective.
How SAS works
Users begin their experience with SAS Model Manager by signing up and onboarding through guided tutorials. They navigate the main dashboard to create and validate models effortlessly using no-code tools. Users can manage projects, deploy models across various environments, and monitor performance comprehensively, ensuring their modeling processes are streamlined and efficient.
Key Features for SAS
Streamlined Model Deployment
SAS Model Manager specializes in streamlined model deployment. This unique feature allows users to package and deploy their models swiftly across cloud or on-premise environments, minimizing delays and ensuring that models are production-ready within minutes, effectively meeting the demands of fast-paced analytics workflows.
Automated Monitoring and Alerts
One standout feature of SAS Model Manager is its automated monitoring and alert system. This functionality continuously tracks model performance and notifies users of any issues, such as data drift. This proactive approach helps maintain model accuracy and reliability, which is crucial for effective data-driven decision-making.
No-Code Model Validation
SAS Model Manager's no-code model validation feature empowers users to test and validate their models effortlessly. This innovative functionality reduces technical barriers, allowing users to ensure model accuracy and performance without needing extensive programming knowledge, making model management accessible to a broader audience.
