APIs Government industry solution 
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.
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.
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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.
AWS Machine Learning
SEPTEMBER 18, 2024
Supply Chain Disruptions The COVID-19 pandemic has highlighted the vulnerability of global supply chains, and the EV industry has not been. Regulatory Frameworks and Incentives Regulatory frameworks and government incentives play a critical role in promoting EV. For this post, we use Anthropic’s Claude models on Amazon Bedrock.
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.
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