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

AWS Machine Learning

This solution relies on the AWS Well-Architected principles and guidelines to enable the control, security, and auditability requirements. By harnessing AWS generative AI, Accenture aims to transform efficiency for regulated industries like pharmaceuticals. The user-friendly system also employs encryption for security.

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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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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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Streamline Sales Processes with Enterprise CPQ

Cincom

As the pioneer of CPQ technology, Cincom offers industry-leading solutions that enhance sales capabilities while solving common pain points. Integration with Existing Systems: APIs facilitate data sharing between CPQ and other core platforms like CRM, ERP, accounting, e-commerce, and more.

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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. Will Conrad is the Head of Solutions for the Agriculture Industry at AWS.

APIs 76
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Configure an AWS DeepRacer environment for training and log analysis using the AWS CDK

AWS Machine Learning

With the increasing use of artificial intelligence (AI) and machine learning (ML) for a vast majority of industries (ranging from healthcare to insurance, from manufacturing to marketing), the primary focus shifts to efficiency when building and training models at scale.

Scripts 76
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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 85