<?xml version="1.0" encoding="UTF-8"?><oembed><type>video</type><version>1.0</version><html>&lt;iframe src=&quot;https://www.loom.com/embed/ec15674bcc1d439891d70cd1e45a3a5b&quot; frameborder=&quot;0&quot; width=&quot;1920&quot; height=&quot;1440&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1440</height><width>1920</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1440</thumbnail_height><thumbnail_width>1920</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/ec15674bcc1d439891d70cd1e45a3a5b-b2e4a7fac2dd1e76.gif</thumbnail_url><duration>457.524</duration><title>Streamlining Batch Record Compliance Monitoring with Zipp.ai&apos;s Cloud Platform ☁️</title><description>In this video, I walk you through our cloud-based compliance monitoring platform, zipp.ai, hosted on Microsoft Azure and compliant with GDPR. I highlight the key features, including the batch review dashboard, where you can track compliant and non-compliant batches, and the importance of human validation after the AI&apos;s compliance checks. I also demonstrate how to add new products and vendors, upload batch manufacturing records, and validate outputs, ensuring we maintain high compliance standards. I encourage you to actively engage with the platform by reviewing unverified batches and making necessary edits to improve our compliance scores. Lastly, I emphasize our commitment to AI governance, monitoring its performance to ensure accuracy and reliability.</description></oembed>