Remove Analytics Remove Lambda Remove Serverless
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Build a video insights and summarization engine using generative AI with Amazon Bedrock

AWS Machine Learning - AI

These insights are stored in a central repository, unlocking the ability for analytics teams to have a single view of interactions and use the data to formulate better sales and support strategies. Organizations typically can’t predict their call patterns, so the solution relies on AWS serverless services to scale during busy times.

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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. API Gateway is serverless and hence automatically scales with traffic. It’s serverless so you don’t have to manage the infrastructure. This implementation overcomes timeout limitations in synchronous REST requests.

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Accelerate AWS Well-Architected reviews with Generative AI

AWS Machine Learning - AI

Scalable architecture Uses AWS services like AWS Lambda and Amazon Simple Queue Service (Amazon SQS) for efficient processing of multiple reviews. Using Amazon Bedrock Knowledge Base, the sample solution ingests these documents and generates embeddings, which are then stored and indexed in Amazon OpenSearch Serverless.

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Use Golang for Data Processing With Amazon Kinesis and AWS Lambda

Dzone - DevOps

This blog post is for folks interested in learning how to use Golang and AWS Lambda to build a serverless solution. You will be using the aws-lambda-go library along with the AWS Go SDK v2 for an application that will process records from an Amazon Kinesis data stream and store them in a DynamoDB table. But that's not all!

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Automate emails for task management using Amazon Bedrock Agents, Amazon Bedrock Knowledge Bases, and Amazon Bedrock Guardrails

AWS Machine Learning - AI

Amazon Bedrock offers a serverless experience so you can get started quickly, privately customize FMs with your own data, and integrate and deploy them into your applications using AWS tools without having to manage infrastructure. The workflow includes the following steps: Amazon WorkMail manages incoming and outgoing customer emails.

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Empower your generative AI application with a comprehensive custom observability solution

AWS Machine Learning - AI

Cost optimization – This solution uses serverless technologies, making it cost-effective for the observability infrastructure. The CloudFormation template provisions resources such as Amazon Data Firehose delivery streams, AWS Lambda functions, Amazon S3 buckets, and AWS Glue crawlers and databases.

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Storm in the stratosphere: how the cloud will be reshuffled

Erik Bernhardsson

It was a brilliant move by AWS, because it immediately lowered the bar for a small company to start doing analytics. This isn't exactly a new idea—Heroku launched in 2007, and AWS Lambda in 2014. in bin packing, I'd go looking for a job at some serverless infrastructure provider right now. If I had a Ph.

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