In the increasingly virtual workplace, ease of communication is important to ensure effective collaboration between employees. Chat is taking over email as the preferred form of communication in many organizations. Employers rely on team tools such as Slack to get work done. Slack is growing at 67% year-over-year in the large enterprise segment. Ensuring all aspects of the virtual work environment are inclusive and safe is a priority for many organizations. Sharing images can be a powerful way to effectively convey concepts and thoughts. There are many popular ways to analyze text, but images present a different challenge. Organizations need a way to detect and react to posted images that violate company guidelines.
Amazon Rekognition content moderation is a deep learning-based service that can detect inappropriate, unwanted, or offensive images and videos, making it easier to find and remove such content at scale. Amazon Rekognition provides a detailed taxonomy of moderation categories, such as Explicit Nudity, Suggestive, Violence, and Visually Disturbing. You can now detect six new categories: Drugs, Tobacco, Alcohol, Gambling, Rude Gestures, and Hate Symbols. Amazon AppFlow is a fully managed integration service that enables you to securely transfer data between Software-as-a-Service (SaaS) applications like Salesforce, Marketo, Slack, and ServiceNow, and AWS services like Amazon Simple Storage Service (Amazon S3) and Amazon Redshift, in just a few clicks. This solution leverages Amazon AppFlow to capture the content posted in Slack channels for analysis using Amazon Rekognition.
