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Amazon Bedrock Custom Model Import now generally available

AWS Machine Learning

This feature empowers customers to import and use their customized models alongside existing foundation models (FMs) through a single, unified API. Having a unified developer experience when accessing custom models or base models through Amazon Bedrock’s API. Ease of deployment through a fully managed, serverless, service. 2, 3, 3.1,

APIs 135
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Automate cloud security vulnerability assessment and alerting using Amazon Bedrock

AWS Machine Learning

GuardDuty combines machine learning (ML), anomaly detection, and malicious file discovery, using both AWS and industry-leading third-party sources, to help protect AWS accounts, workloads, and data. The Lambda function calls Anthropic’s Claude 3 Sonnet model through Amazon Bedrock APIs with the input request.

APIs 68
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Enhance call center efficiency using batch inference for transcript summarization with Amazon Bedrock

AWS Machine Learning

This new feature enables organizations to process large volumes of data when interacting with foundation models (FMs), addressing a critical need in various industries, including call center operations. Batch job submission – Initiate and manage batch inference jobs through the Amazon Bedrock console or API.

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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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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 81