{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/3b4ec1336edb4e73a3fd3f32c9fe84a3\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/3b4ec1336edb4e73a3fd3f32c9fe84a3-00001.gif","duration":208.508,"title":"Alert Feature Demo at Chattermill","description":"Hi, I'm Jack from Chattamil, showcasing our new Aladdin feature for anomaly detection in customer feedback. I demonstrate setting up workflows to detect and act on feedback anomalies, including automated alerts and actions. Watch to see how we handle unexpected spikes in negative sentiment data. Action: Review the demo for insights on managing feedback anomalies effectively."}