SAS Model Manager

SAS Model Manager

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SAS Model Manager streamlines analytical modeling processes with features like centralized repository, customized workflows, automated deployment, REST API access, and cloud-native architecture.

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Key AI Functions:IT,hr,human resources,low-code/no-code,information technology,productivity tools

Description for SAS Model Manager

SAS Model Manager streamlines the analytical modeling life cycle, from development to governance, offering centralized management and secure deployment options.

Features of SAS Model Manager:

  • Centralized Repository: Provides a secure and searchable web-based repository for managing analytical models.
  • Customized Workflows: Enables the creation and monitoring of tailored workflows spanning the entire model life cycle.
  • Automated Deployment: Facilitates rapid deployment of models in various environments, including cloud, edge, batch, or real time.
  • REST API Access: Allows programming-only interaction via REST APIs for accessing, comparing, evaluating, and scoring models.
  • Cloud Native: Utilizes efficient, cloud-native architecture (SAS Viya) to maximize cloud investments.

Use Cases for SAS Model Manager

  • It facilitates the collaboration of business analysts, MLOPs engineers, and data scientists, allowing for rapid model deployment and open source integration.
  • It validates models to guarantee predictions of superior quality.
  • It monitors the performance of models automatically and generates notifications to signify model deterioration.
  • It enables models to be continuously updated in response to shifting business and market conditions.
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