<?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/24d7169b0916418da9ee240e205b52c9&quot; frameborder=&quot;0&quot; width=&quot;1382&quot; height=&quot;1036&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1036</height><width>1382</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1036</thumbnail_height><thumbnail_width>1382</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/24d7169b0916418da9ee240e205b52c9-59338e9699176e1e.gif</thumbnail_url><duration>670.508</duration><title>Thoughtspot | Spotter - Pre/Post_vF</title><description>In this Loom, I share my game plan for the upcoming meeting with Soon, focusing on leveraging Atlas to prepare and debrief effectively. I highlight key pain points we&apos;ve identified, such as Zoom&apos;s data team spending 60-70% of their time answering Slack questions, costing around one million dollars annually. I also outline our four key differentiators against Snowflake, including our trust architecture and multi-agent platform. During the meeting, I plan to showcase essential features like the Spotter model and MCP interoperability. Please take note of these points and be ready to discuss them further.</description></oembed>