SAS Model Manager
SAS Model Manager
A software for managing analytical models with centralized repository and task automation.
Pricing
Contact for Pricing$ 499/mo
Tool Info
Rating: N/A (0 reviews)
Date Added: October 26, 2023
Categories
Low-Code/No-CodeStartup Tools
Description
SAS Model Manager is a software designed to simplify the analytical modeling life cycle. It offers a centralized and secure web-based repository for managing analytical models, custom workflows for all phases of model life cycle management, and supports rapid, automated model deployment in batch or real time. It enables the use of REST APIs to access, compare, assess, and score models. SAS Viya's cloud-native architecture makes the most of your cloud investment. It connects data scientists, MLOPs engineers, and business analysts, enabling quick model deployment and integration with open source.
Key Features
- A centralized and secure web-based repository is available for managing analytical models.
- Custom workflows can be defined and tracked for all phases of model life cycle management.
- Rapid and automated model deployment is supported in batch or real time, in the cloud or at the edge.
- REST APIs can be used to access, compare, assess, and score models.
- The architecture of SAS Viya is compact, cloud native, and fast.
Use Cases
- Data Science Teams: SAS Model Manager can be used by data science teams to streamline the analytical modeling life cycle. It provides a centralized repository for managing analytical models, allowing data scientists to easily create, validate, deploy, manage, govern, and monitor models.
- MLOps Engineers: SAS Model Manager can be used by MLOps engineers to automate tasks and define custom workflows for all phases of model life cycle management. This allows for rapid, automated model deployment in batch or real time, in the cloud or at the edge.
- Business Analysts: SAS Model Manager can be used by business analysts to validate models and ensure high-quality predictions. It also allows for continuous updating of models to keep pace with changing market and business conditions.
- Industries: SAS Model Manager can be used in various industries such as finance, healthcare, retail, and more. It can help organizations in these industries to improve their decision-making processes by providing accurate predictions and insights.
- Cloud Computing: SAS Model Manager is cloud native and can be used by organizations that have invested in cloud computing. It supports rapid, automated model deployment in the cloud or at the edge, making the most of your cloud investment.
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