<?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/c0464015aa4645ddb504de6d276d6b8a&quot; frameborder=&quot;0&quot; width=&quot;1672&quot; height=&quot;1254&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>1254</height><width>1672</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>1254</thumbnail_height><thumbnail_width>1672</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/c0464015aa4645ddb504de6d276d6b8a-9e55d63a90e647fa.gif</thumbnail_url><duration>306.191</duration><title>Why Talking to Your Enterprise Business Data is not as easy as it looks! </title><description>In this video, I discuss the challenges of accessing enterprise business data for accurate insights, highlighting that this remains an unsolved problem despite the advancements in AI and LLM models. I outline three key issues: the need for real-time data integration across various platforms, the context gap between business terminology and data, and the difficulties of delivering insights to users in their preferred environments. To address these challenges, I&apos;m excited to announce our new open agent platform, AI Insights Fabric, which will enhance context engineering and provide accurate, explainable answers. I encourage you to consider how this solution could fit into your existing data stack and improve your analytics capabilities.</description></oembed>