SAS

SAS Model Manager simplifies the analytical modeling life cycle from creation to deployment.
August 13, 2024
Web App
SAS Website

About SAS

SAS Model Manager is an innovative platform tailored for data scientists and MLOps engineers, designed to streamline the entire analytical modeling lifecycle. With its seamless integration capabilities and no-code validation interface, it significantly reduces manual tasks, enabling users to efficiently manage, deploy, and monitor models for optimal performance.

SAS offers various pricing plans for Model Manager to accommodate different organizational needs. Each tier provides distinct benefits, including advanced monitoring features and integration options. Upgrading to higher levels unlocks additional tools and capabilities, enhancing model management efficiency and scalability for users.

SAS Model Manager features a user-friendly interface designed for intuitive navigation and efficient model management. Its organized layout makes it easy for users to access key functionalities, facilitating a smooth experience with features like no-code validation and automated deployment processes, enhancing overall usability.

How SAS works

Users begin their journey with SAS Model Manager by onboarding, where they create models using integrated tools. They can validate models through a no-code interface, facilitating easy testing and ensuring accuracy. As users navigate the platform, they access robust management and monitoring features that enable efficient tracking and deployment across various environments.

Key Features for SAS

Automated Model Monitoring

SAS Model Manager excels in automated model monitoring, offering users continuous insights into model performance. By utilizing this feature, data scientists and MLOps engineers can quickly identify issues like concept drift and mitigate risks, ensuring that models maintain their effectiveness over time.

Seamless Integration

With SAS Model Manager, users benefit from seamless integration with open-source tools, enhancing their analytical capabilities. This flexibility allows data scientists to work with familiar environments while utilizing SAS’s powerful model management features, ultimately fostering collaboration and improving modeling efficiency.

No-Code Validation Interface

The no-code validation interface in SAS Model Manager empowers users to easily test and validate model scoring logic without needing programming expertise. This feature democratizes access to model validation, allowing broader team participation and accelerating the overall modeling process while ensuring accuracy.

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