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Build a secure enterprise application with Generative AI and RAG using Amazon SageMaker JumpStart

AWS Machine Learning

These SageMaker endpoints are consumed in the Amplify React application through Amazon API Gateway and AWS Lambda functions. To protect the application and APIs from inadvertent access, Amazon Cognito is integrated into Amplify React, API Gateway, and Lambda functions.

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

AWS Machine Learning

Using the job ID and message ID returned by the previous request, the client connects to the WebSocket API and sends the job ID and message ID to the WebSocket connection. A Lambda function invokes the Amazon Textract API DetectDocument to parse tabular data from source documents and stores extracted data into DynamoDB.

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Modernizing data science lifecycle management with AWS and Wipro

AWS Machine Learning

Wipro has used the input filter and join functionality of SageMaker batch transformation API. The response is returned to Lambda and sent back to the application through API Gateway. Use QuickSight refresh dataset APIs to automate the spice data refresh. It helped enrich the scoring data for better decision making.

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Build an agronomic data platform with Amazon SageMaker geospatial capabilities

AWS Machine Learning

These differences in satellite images and frequencies also lead to differences in API capabilities and features. These web and mobile applications, however, need to consume and quickly display processed imagery and agronomic insights via APIs. In his free time, he enjoys hiking, travelling, and spending time with family and friends.

APIs 80
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Configure an AWS DeepRacer environment for training and log analysis using the AWS CDK

AWS Machine Learning

References More information is available at the following resources: Automate Amazon SageMaker Studio setup using AWS CDK AWS SageMaker CDK API reference About the Authors Zdenko Estok works as a cloud architect and DevOps engineer at Accenture. Shikhar enjoys playing guitar, composing music, and practicing mindfulness in his spare time.

Scripts 80
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Large-scale revenue forecasting at Bosch with Amazon Forecast and Amazon SageMaker custom models

AWS Machine Learning

Bosch is a multinational corporation with entities operating in multiple sectors, including automotive, industrial solutions, and consumer goods. The neural forecasters can be bundled as a single ensemble model, or incorporated individually into Bosch’s model universe, and accessed easily via REST API endpoints.

APIs 89
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Automated exploratory data analysis and model operationalization framework with a human in the loop

AWS Machine Learning

For instructions on assigning permissions to the role, refer to Amazon SageMaker API Permissions: Actions, Permissions, and Resources Reference. The Step Functions state machine, S3 bucket, Amazon API Gateway resources, and Lambda function codes are stored in the GitHub repo. The following figure illustrates our Step Function workflow.