SAS Model Manager

SAS Model Manager is a software built to streamline the analytical modeling life cycle. It assists in model creation, validation, deployment, management, governance, and monitoring. Key Features Centralized & searchable model repository: It provides a centralized, secure web-based repository for managing analytical models.Task automation with custom workflows: It allows the definition and tracking of custom workflows for all phases of model life cycle management.Build once, deploy everywhere: It supports rapid, automated model deployment in batch or real time, in the cloud or at the edge.Programming-only interaction through REST APIs: It enables the use of REST APIs to access, compare, assess, and score models.Cloud native: The architecture of SAS Viya is compact, cloud native and fast, making the most of your cloud investment. Task automation with custom workflows: It allows the definition and tracking of custom workflows for all phases of model life cycle management.Build once, deploy everywhere: It supports rapid, automated model deployment in batch or real time, in the cloud or at the edge.Programming-only interaction through REST APIs: It enables the use of REST APIs to access, compare, assess, and score models.Cloud native: The architecture of SAS Viya is compact, cloud native and fast, making the most of your cloud investment. Build once, deploy everywhere: It supports rapid, automated model deployment in batch or real time, in the cloud or at the edge.Programming-only interaction through REST APIs: It enables the use of REST APIs to access, compare, assess, and score models.Cloud native: The architecture of SAS Viya is compact, cloud native and fast, making the most of your cloud investment. Programming-only interaction through REST APIs: It enables the use of REST APIs to access, compare, assess, and score models.Cloud native: The architecture of SAS Viya is compact, cloud native and fast, making the most of your cloud investment. Cloud native: The architecture of SAS Viya is compact, cloud native and fast, making the most of your cloud investment. Use Cases It connects data scientists, MLOPs engineers, and business analysts, enabling quick model deployment and integration with open source.It validates models to ensure high-quality predictions.It automatically monitors the performance of models, generating alerts to indicate model decay.It allows continuous updating of models to keep pace with changing market and business conditions. It validates models to ensure high-quality predictions.It automatically monitors the performance of models, generating alerts to indicate model decay.It allows continuous updating of models to keep pace with changing market and business conditions. It automatically monitors the performance of models, generating alerts to indicate model decay.It allows continuous updating of models to keep pace with changing market and business conditions. It allows continuous updating of models to keep pace with changing market and business conditions.