Amazon SageMaker
Amazon SageMaker is a cloud-based machine-learning platform that allows the creation, training, and deployment by developers of machine-learning models on the cloud. It can be used to deploy ML models on embedded systems and edge-devices.
Description
Meet your technical teams where they are. Automatically pull model data into Credo AI for governance without disrupting the Machine Learning Engineering workflow. Associate all models in Credo AI to AI Use Cases for governance.
Features
Integration Type: Model Upload
Eliminate AI governance burden on engineering teams by connecting directly to your model store in Credo AI.
Integration Type: Evidence Ingestion
Upload critical evidence that your AI is safe, secure, fair, and compliant. Reduce engineering burden by identifying only the required evidence for AI governance and compliance.
Model Data
For every SageMaker model reflected in Credo AI, populate model version, owner and last registration data from SageMaker. Use this information to govern model version differently if need be.
Model Cards
Automatically populate a Model Card in the Credo AI registry with Limitation, Description, Model Performance, Model Architecture data and more from SageMaker. Use this information to properly govern associated AI Use Cases.
Integration Diagrams
Data
Model Registry
Model Registry
Data
Model Store
Model Store
