Remove ETL Remove Explainability Remove Metadata Remove Software Development
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Integrate SaaS platforms with Amazon SageMaker to enable ML-powered applications

AWS Machine Learning Blog

Most of the options explained are also applicable if SageMaker is running in the SaaS AWS account. In some cases, an ISV may deploy their software in the customer AWS account. The open-source Custom Connector SDK enables the development of a private, shared, or public connector using Python or Java.

ML 72
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How to Build a CI/CD MLOps Pipeline [Case Study]

The MLOps Blog

In the case of our CI/CD-MLOPs system, we stored the model versions and metadata in the data storage services offered by AWS i.e Licensing costs: Oftentimes, we need third-party software libraries to power our solutions. If you aren’t aware already, let’s introduce the concept of ETL. S3 buckets.

ETL 52