SAS
About SAS
SAS Model Manager is a comprehensive tool designed for data scientists and MLOps teams. It streamlines model creation, validation, and deployment while ensuring governance and monitoring. With its no-code interface and automated CI/CD pipeline, users can efficiently manage models, detect drift, and enhance collaboration across teams.
SAS Model Manager offers flexible pricing plans tailored to different organizational needs. Subscription tiers include essential features for startup operations and comprehensive plans that provide advanced capabilities for large enterprises. Users benefit from scalable options that optimize model deployment and management, ensuring efficiency at every level.
SAS Model Manager's user interface is designed for simplicity and efficiency. Its clean layout provides easy navigation through model assets and project tracking. Features like no-code validation and real-time monitoring enhance user experience, allowing for seamless management of analytical models in one comprehensive platform.
How SAS works
Users begin their journey with SAS Model Manager by onboarding through an easy setup process that connects data sources and integrates with existing tools. They can navigate a user-friendly interface to create, test, and deploy models quickly. Collaboration features allow data scientists and MLOps engineers to track projects and manage versioning effectively, ensuring streamlined model governance and monitoring throughout the lifecycle.
Key Features for SAS
Automated CI/CD Pipeline
The automated CI/CD pipeline in SAS Model Manager allows users to efficiently manage model deployment and integration. By automating repetitive tasks and ensuring seamless collaboration between teams, this feature drastically reduces the time to market for analytical models, making SAS Model Manager a powerful asset for data-driven organizations.
Model Validation Tools
SAS Model Manager provides robust model validation tools that ensure models run accurately in both testing and production environments. With an easy-to-use interface, users can quickly validate scoring logic, reducing errors, and enhancing confidence in model performance, which is essential for responsible AI practices and effective decision-making.
Monitoring and Alerting System
The monitoring and alerting system in SAS Model Manager is designed to detect data and model drift continuously. This proactive feature allows users to receive alerts on performance degradation, ensuring prompt action is taken to maintain model integrity and effectiveness, ultimately minimizing costly downtime for businesses.
