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Using AIML to automate content moderation and compliance

March 22, 2022

The daily volume of User Generated Content (UGC) and third-party content has been increasing substantially across industries and platforms such as social media, social gaming, online forums, dating & matrimonial, including 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, service providers may be required to ensure that the audio and video content they create or license are compliant with guidelines for various geographies or target audiences. In this session, 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 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 customers.
Speaker: Christer Whitehorn, Lead Solutions Architect - Media Services, AWS

Download slides , demo 1 and demo 2

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