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Accenture creates a regulatory document authoring solution using AWS generative AI services

AWS Machine Learning

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.

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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

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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Configure an AWS DeepRacer environment for training and log analysis using the AWS CDK

AWS Machine Learning

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.

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Reinvent personalization with generative AI on Amazon Bedrock using task decomposition for agentic workflows

AWS Machine Learning

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.

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Bring SageMaker Autopilot into your MLOps processes using a custom SageMaker Project

AWS Machine Learning

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.