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Introducing Amazon SageMaker Studio – the first integrated development environment (IDE) for machine learning

Amazon SageMaker Studio is an integrated development environment (IDE) for machine learning (ML) that lets you easily build, train, debug, deploy and monitor your machine learning models. Continue Reading — Introducing Amazon SageMaker Studio – the first integrated development environment (IDE) for machine learning

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AWS Lambda announces Provisioned Concurrency

We are announcing Provisioned Concurrency, a feature that provides customers greater control over performance of their serverless applications at any scale. Functions using Provisioned Concurrency execute with consistent start-up latency making them i… Continue Reading — AWS Lambda announces Provisioned Concurrency

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Introducing Amazon RDS Proxy (Preview)

Amazon RDS Proxy, a fully managed, highly available database proxy for Amazon Relational Database Service (RDS), is now available in preview. RDS Proxy makes applications more scalable, more resilient to database failures, and more secure. Continue Reading — Introducing Amazon RDS Proxy (Preview)

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AWS launches Amazon Rekognition Custom Labels to enable customers find objects and scenes unique to their business in images

Today, Amazon Web Services (AWS) launched Amazon Rekognition Custom Labels, a new feature of Amazon Rekognition that enables customers to build their own machine learning (ML) based image analysis capabilities to detect unique objects and scenes, relevant to their business need. For example, customers using Amazon...

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Introducing AWS Step Functions Express Workflows

Express Workflows are a new type of AWS Step Functions workflow type that cost-effectively orchestrate AWS compute, database, and messaging services at event rates greater than 100,000 events per second. Express Workflows automatically start in respons… Continue Reading — Introducing AWS Step Functions Express Workflows

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