<?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/f6fb46343e3743ac9b38d6de13e243e4&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/f6fb46343e3743ac9b38d6de13e243e4-ef59c484be646ee3.gif</thumbnail_url><duration>328.1278</duration><title>Predictive Maintenance Risk Dashboard Overview</title><description>An SPC-based predictive maintenance dashboard for semiconductor-style manufacturing sensor data.  The dashboard answers: which tools are most at risk, why, and which sensor signals are driving the risk?</description></oembed>