Using AI to Automate Moderation of User-Generated and Third-Party Media Content

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Published Feb 20, 2025

The daily volume of User Generated Content (UGC) and third-party content has been increasing substantially in industries such as social media, social gaming, online forums, dating & matrimonial, and photo sharing websites. Customers often want to review audio, image, video, and text content to ensure that their end-users are not exposed to potentially inappropriate or offensive material, such as profanity, violence, drug use, adult products, nudity, or disturbing content. In addition, media companies may be required to ensure that the broadcast and On-Demand audio and video content they create or license carries appropriate ratings as per compliance guidelines for various geographies or target audiences. In this tech talk, you learn how you can use Amazon Rekognition, Amazon Transcribe, and Amazon Comprehend to streamline and automate your image and video moderation workflows using machine learning. We'll show you how you can use fully managed image, video, text, and speech moderation APIs & automated machine learning to proactively detect inappropriate, unwanted, or offensive content at scale and increase brand safety for you and your partners.

Learning Objectives:
*Learn where you can use AI to moderate image, video, text, and audio content
*See real-world demos and customer examples to understand how the technology works
*Dive into reference architectures and best practices to learn how you can deploy the technology in your organization

***To learn more about the services featured in this talk, please visit:
https://aws.amazon.com/rekognition/content-moderation
https://aws.amazon.com/transcribe/
https://aws.amazon.com/comprehend Subscribe to AWS Online Tech Talks On AWS:
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