<?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/017f3f4ee1d74696887ae12d0b6050d5&quot; frameborder=&quot;0&quot; width=&quot;1114&quot; height=&quot;835&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>835</height><width>1114</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>835</thumbnail_height><thumbnail_width>1114</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/017f3f4ee1d74696887ae12d0b6050d5-2da37f6847656a4e.gif</thumbnail_url><duration>100.3706</duration><title>Streamlining Data Analysis with AI</title><description>In this video, I discuss the challenges of managing large data sets and how AI can simplify the analysis process. I highlight the benefits of using an AI analysis plan to quickly understand connections and correlations within the data, which can save significant time. I also mention the importance of security while handling potentially malicious data sets in the E2B sandbox. Please take a moment to consider how this approach could enhance our workflow.</description></oembed>