<?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/241131460bdd461fb8af200cd2b91e9a&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/241131460bdd461fb8af200cd2b91e9a-fc6ebb526845f1c6.gif</thumbnail_url><duration>154.084</duration><title>Monte Carlo and Costed Risk Improvements in 5.0</title><description>This Loom explains the key improvements in version 5.0 to Monte Carlo simulations and cost at risk, focusing on how simulations are generated and run. When selecting risks, users now get new top-level options to run inherent versus residual, including a configurable calculated residual that uses actions to reduce the residual risk rating. If simulations are enabled, these changes appear by default, and users can select rating type and category to pre-populate settings for all risks, including multi run comparisons such as inherent versus residual. The Loom also notes that the backend behavior of simulations has not changed, while real dependency trees are added as an opt-in feature.</description></oembed>