Mike Knowles, a lead developer at Photobucket, leveraged Clarifai's machine learning technology to enhance the platform's content moderation capabilities, significantly improving the efficiency and effectiveness of managing user-generated content (UGC). Photobucket, a major image and video hosting service, faced challenges in moderating the vast amounts of content uploaded daily, which posed risks of illegal or offensive material slipping through manual checks by human moderators. By integrating Clarifai’s Not Safe for Work (NSFW) nudity recognition model, Photobucket achieved real-time moderation of all uploaded images, increasing the detection of inappropriate content from a mere 0.1% to 70%. This automation allowed for a reduction in the human moderation team, with staff transitioning to customer support roles, thereby enhancing overall user experience. Additionally, the implementation, completed in just 12 weeks, enabled Photobucket to proactively address harmful content, even leading to the identification of child pornography accounts. Mike chose Clarifai over other options due to its superior accuracy, ease of use, and comprehensive support, ultimately making the internet a safer environment while mitigating Photobucket's legal and financial risks.