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Automate Amazon Bedrock batch inference: Building a scalable and efficient pipeline

AWS Machine Learning - AI

To address this consideration and enhance your use of batch inference, we’ve developed a scalable solution using AWS Lambda and Amazon DynamoDB. We walk you through our solution, detailing the core logic of the Lambda functions. Amazon S3 invokes the {stack_name}-create-batch-queue-{AWS-Region} Lambda function.

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Accelerating insurance policy reviews with generative AI: Verisk’s Mozart companion

AWS Machine Learning - AI

Mozart, the leading platform for creating and updating insurance forms, enables customers to organize, author, and file forms seamlessly, while its companion uses generative AI to compare policy documents and provide summaries of changes in minutes, cutting the change adoption time from days or weeks to minutes.

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Create a generative AI–powered custom Google Chat application using Amazon Bedrock

AWS Machine Learning - AI

Before processing the request, a Lambda authorizer function associated with the API Gateway authenticates the incoming message. After it’s authenticated, the request is forwarded to another Lambda function that contains our core application logic. The code runs in a Lambda function. Implement your business logic in this file.

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Amazon Q Business simplifies integration of enterprise knowledge bases at scale

AWS Machine Learning - AI

Step Functions orchestrates AWS services like AWS Lambda and organization APIs like DataStore to ingest, process, and store data securely. The workflow includes the following steps: The Prepare Map Input Lambda function prepares the required input for the Map state. The fetched data is put into an S3 data store bucket for processing.

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Track, allocate, and manage your generative AI cost and usage with Amazon Bedrock

AWS Machine Learning - AI

They’re user-defined, providing granular control and flexibility over model configurations and allowing organizations to tailor policies with attribute-based access control (ABAC) using AWS Identity and Access Management (IAM). Both models are shown in the following figure.

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5 Simple Ways to Improve Security with Lambda at Edge

Modus Create

Lambda@Edge is Amazon Web Services’s (AWS’s) Lambda service run on the Amazon CloudFront Global Edge Network. There are numerous measures you can take to improve security with Lambda@Edge. Lambda@Edge provides you with the ability to customize headers after responses have left the origin. X-XSS-Protection.

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Build a multi-tenant generative AI environment for your enterprise on AWS

AWS Machine Learning - AI

It also uses a number of other AWS services such as Amazon API Gateway , AWS Lambda , and Amazon SageMaker. You can use Amazon Bedrock Guardrails to implement such safeguards based on your application requirements and responsible AI policies. Instead, use an IAM role, a Lambda authorizer , or an Amazon Cognito user pool.