<?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/521d788bc4bf4c818b5d153fe1a289b0&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/521d788bc4bf4c818b5d153fe1a289b0-1704793791462.gif</thumbnail_url><duration>625.7666666666665</duration><title>AI Series: Related Incidents</title><description>Hi, I&apos;m Millie, one of the engineers working on our new AI features. In this video, I&apos;ll be introducing one of the features called Related Incidents. The problem we&apos;re addressing is that incidents can occur multiple times, but it&apos;s not always easy to identify duplicates. Our solution is to use AI to analyze incidents and suggest related incidents that may be similar. I&apos;ll demonstrate how this works using a fake incident. Watch the video to see how Related Incidents can help streamline incident management.</description></oembed>