{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/7414f52464b74e57b27582197adfe8c8\" frameborder=\"0\" width=\"1110\" height=\"832\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":832,"width":1110,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":832,"thumbnail_width":1110,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/7414f52464b74e57b27582197adfe8c8-bc1daabdda2fa93a.gif","duration":326.101,"title":"Dialshark | Voicemail Detection Good vs Bad Examples","description":"Hi, I'm Carlos from Dialshark, and in this video, I demonstrate the differences between a poor voicemail detection system and a successful one. I played a typical UK answering machine message to highlight how the AI mishandles the situation by failing to recognize whether it's interacting with a machine or a human. This is a critical aspect of effective voicemail detection, which is a key feature of Dialshark's semantic detection technology. I encourage you to consider how our system can improve your voicemail handling. Please let me know if you have any questions or need further information."}