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Best practices for building secure applications with Amazon Transcribe

AWS Machine Learning

Amazon Transcribe can be used for transcription of customer care calls, multiparty conference calls, and voicemail messages, as well as subtitle generation for recorded and live videos, to name just a few examples. Applications must have valid credentials to sign API requests to AWS services.

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Announcing Rekogniton Custom Moderation: Enhance accuracy of pre-trained Rekognition moderation models with your data

AWS Machine Learning

Companies increasingly rely on user-generated images and videos for engagement. From ecommerce platforms encouraging customers to share product images to social media companies promoting user-generated videos and images, using user content for engagement is a powerful strategy.

APIs 107
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Moderate your Amazon IVS live stream using Amazon Rekognition

AWS Machine Learning

Amazon Interactive Video Service (Amazon IVS) is a managed live streaming solution that is designed to provide a quick and straightforward setup to let you build interactive video experiences and handles interactive video content from ingestion to delivery. Human moderators assess the result and deactivate the live stream.

APIs 88
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Live Meeting Assistant with Amazon Transcribe, Amazon Bedrock, and Knowledge Bases for Amazon Bedrock

AWS Machine Learning

It’s straightforward to deploy in your AWS account. Prerequisites You need to have an AWS account and an AWS Identity and Access Management (IAM) role and user with permissions to create and manage the necessary resources and components for this application. Everything you need is provided as open source in our GitHub repo.

APIs 108
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Optimize pet profiles for Purina’s Petfinder application using Amazon Rekognition Custom Labels and AWS Step Functions

AWS Machine Learning

The solution uses the following services: Amazon API Gateway is a fully managed service that makes it easy for developers to publish, maintain, monitor, and secure APIs at any scale. Amazon Rekognition offers pre-trained and customizable computer vision (CV) capabilities to extract information and insights from your images and videos.

APIs 94
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Run an audience overlap analysis in AWS Clean Rooms

AWS Machine Learning

The following are key concepts and prerequisites to use AWS Clean Rooms: Each party in the analysis (collaboration member) needs to have an AWS account. The collaboration creator uses the invitee’s AWS account ID as input to send invitations. Prerequisites To invite another person to a collaboration, you need their AWS account ID.

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Localize content into multiple languages using AWS machine learning services

AWS Machine Learning

Over the last few years, online education platforms have seen an increase in adoption of and an uptick in demand for video-based learnings because it offers an effective medium to engage learners. Subtitle creation on video content can be challenging because the translated speech doesn’t match the original speech timing.