<?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/ce1b493fda084ca79344a82debbf9dff&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/ce1b493fda084ca79344a82debbf9dff-a0a5803955f30700.gif</thumbnail_url><duration>364.665</duration><title>Data Normalization and AI Enrichment Tips 📊</title><description>In this video, I walk you through the process of normalizing data and utilizing AI functionalities to enhance your CSV imports. I highlight the importance of keeping your data clean and standardized, and I demonstrate how to fill in gaps, particularly with LinkedIn URLs. I also touch on the concept of using a &quot;waterfall&quot; approach for enriching company information. Please take a moment to review these methods and consider implementing them in your workflow.</description></oembed>