<?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/66224a81074a464b92808ecdc82b7ddb&quot; frameborder=&quot;0&quot; width=&quot;1664&quot; height=&quot;1248&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1248</height><width>1664</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1248</thumbnail_height><thumbnail_width>1664</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/66224a81074a464b92808ecdc82b7ddb-00001.gif</thumbnail_url><duration>474.166666666668</duration><title>NeoSync: Open Source Data Replication and Anonymization</title><description>In this video, I introduce NeoSync, an open source data replication and anonymization product. I explain how NeoSync can help developers, data scientists, and machine learning engineers create high-quality synthetic or anonymized data for various purposes. I provide a demo of NeoSync&apos;s features, including data synchronization, data generation, and data transformation. Throughout the video, I showcase the ease of use and flexibility of NeoSync, highlighting its ability to preserve privacy and security while transforming data.</description></oembed>