SAS Model Manager

Streamlines your analytical modeling life cycle, from creation and validation to deployment, management, governance and monitoring.

Introducing SAS Model Manager, a powerful software designed to streamline the analytical modeling life cycle 📊. Whether you're a data scientist, MLOPs engineer, or business analyst, this software offers a range of features to enhance your model creation, validation, deployment, management, governance, and monitoring process.

Key Features:

💡 Centralized & searchable model repository: Store and manage all your analytical models in one secure web-based location.

💡 Task automation with custom workflows: Define and track custom workflows for each phase of the model life cycle management.

💡 Build once, deploy everywhere: Efficiently deploy models in batch or real-time, in the cloud or at the edge.

💡 Programming-only interaction through REST APIs: Access, compare, assess, and score models using REST APIs.

💡 Cloud native: Take advantage of the compact, cloud native, and fast architecture of SAS Viya to maximize your cloud investment.

Use Cases:

✅ Connects data scientists, MLOPs engineers, and business analysts for quick model deployment and integration with open source.

✅ Validates models to ensure high-quality predictions.

✅ Automatically monitors model performance and generates alerts for model decay.

✅ Allows continuous updating of models to adapt to changing market and business conditions.

Experience the efficiency and scalability of SAS Model Manager for your analytical modeling needs. Start optimizing your modeling life cycle today 🚀.

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Featured on Oct 28
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