{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/3ad6d34740e34f258d4077759715c2e3\" 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/3ad6d34740e34f258d4077759715c2e3-00001.gif","duration":299.3333333333335,"title":"Exciting New Partnership between V7 and Databricks 🎉","description":"Hi there! I'm Harry Hans from V7's solutions team, and I'm thrilled to share with you our new partnership with Databricks. In this short video, I'll show you how our integration works and how you can use it to build better AI products in a faster and more timely manner, all while maintaining compliance and security. You'll see how easy it is to send data to and from Databricks and V7 using a simple Python module, and how you can create and manage datasets in both platforms. I'll also demonstrate some of V7's cool annotation tools, like Sam and auto-annotating V7, and our advanced workflows that ensure quality control over your annotations. Whether you're an SME, QA, or an annotator, you'll love our review stage that lets you accept or reject annotations before moving them on to the next stage. And if you're a developer, you'll appreciate our webhook stage that lets you automate the process of exporting annotation payloads out to your model or running custom scripts over that annotation data. So, sit back, relax, and let's dive into this exciting new partnership between V7 and Databricks!"}