SAS Model Manager

What is SAS Model Manager

SAS Model Manager is a comprehensive platform for managing, validating, and deploying machine learning models efficiently. It connects data scientists, MLOps engineers, and stakeholders, enabling streamlined model management with features like versioning, automated CI/CD pipelines, and monitoring for model drift. The tool facilitates no-code model validation and rapid deployment across various environments, ensuring robust and responsible model lifecycle management.

Key Features of SAS Model Manager

- Unify Model Assets: Track projects, models, and their supporting artifacts for streamlined model management, governance, and navigation of modeling lineage and versioning.

- Validate Models: Ensure models run smoothly within SAS Model Manager and production environments with an easy-to-use, no-code interface for testing and validating model scoring logic.

- Deploy Models in Minutes: Efficiently package your model for deployment across various environments, including in-database, on-premise, or in the cloud, without any time wasted.

- Monitor, Detect, Alert, and Repeat: Continuous monitoring with built-in explainability to illuminate data, concept, and model drift. Customize alerts to minimize costly downtime by informing stakeholders of model decay.

- Streamline MLOps Processes: Maximize efficiency with automated Continuous Integration and Continuous Delivery (CI/CD) pipelines. Standardize modeling assets for repeatable, customizable automation and keep the right people informed with tailored alerts.

- Customer Stories and Reviews: Explore stories of how customers have streamlined their journey from sandbox to production with SAS Model Manager. Read reviews highlighting the ease of managing the model lifecycle and deployment processes.

- Comprehensive Industry Solutions: Offers customizable solutions across various industries such as banking, public sector, insurance, life sciences, and retail & consumer goods.

- Robust Support and Community: Access extensive support services, documentation, and vibrant community resources including blogs, user groups, and video tutorials.

- Academic and Certification Programs: Provides free academic software, training resources, and certification opportunities to advance your skills and career in SAS-related fields.

- Global Reach and Localization: Supports a wide range of regions and languages, ensuring accessibility and localized support for global users.

- Integration with Open Source Tools: Seamlessly integrates with open-source tools, connecting data scientists, MLOps engineers, and stakeholders to accelerate model deployment and management.