AWS Machine Learning

FEBRUARY 6, 2024

Companies face complex regulations and extensive approval requirements from governing bodies like the US Food and Drug Administration (FDA). Users then review and edit the documents, where necessary, and submit the same to the central governing bodies. This post is co-written with Ilan Geller, Shuyu Yang and Richa Gupta from Accenture.

Government 101

Government APIs industry solution Education 101

AWS Machine Learning

JANUARY 5, 2024

MLOps – Model monitoring and ongoing governance wasn’t tightly integrated and automated with the ML models. Reusability – Without reusable MLOps frameworks, each model must be developed and governed separately, which adds to the overall effort and delays model operationalization.

Management 109

Management APIs Engineering Government 109

AWS Machine Learning

FEBRUARY 13, 2023

We recommend following certain best practices that are highlighted through the concepts detailed in the following resources: Building secure machine learning environments with Amazon SageMaker Setting up secure, well-governed machine learning environments on AWS Clone the GitHub repo into your environment.

Scripts 73

Scripts Best practices Transportation Construction 73

AWS Machine Learning

JUNE 14, 2023

Every organization has its own set of standards and practices that provide security and governance for their AWS environment. For instructions on assigning permissions to the role, refer to Amazon SageMaker API Permissions: Actions, Permissions, and Resources Reference. A Studio domain managed policy attached to the IAM execution role.

Best practices 77

Best practices Scripts Engineering Education 77