<?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/95973d67085242418ac4733d55709916&quot; frameborder=&quot;0&quot; width=&quot;1280&quot; height=&quot;960&quot; webkitallowfullscreen mozallowfullscreen allowfullscreen&gt;&lt;/iframe&gt;</html><height>960</height><width>1280</width><provider_name>Loom</provider_name><provider_url>https://www.loom.com</provider_url><thumbnail_height>960</thumbnail_height><thumbnail_width>1280</thumbnail_width><thumbnail_url>https://cdn.loom.com/sessions/thumbnails/95973d67085242418ac4733d55709916-56c5f591dbd8dacb.gif</thumbnail_url><duration>71.233</duration><title>Optimizing Data Center Locations for Energy Efficiency</title><description>In this video, I discuss the significant investment of nearly $7 trillion by companies in capital expenditures for 2,300 new data centers worldwide by 2030, alongside a projected 24% growth in urban populations. These factors are expected to increase global power strain by over 20%. To address this challenge, I introduce MorphMap, an innovative tool that uses real-time data to evaluate locations for optimal energy efficiency based on current energy surplus and average temperature. I encourage you to consider how we can leverage MorphMap to identify the best locations for new data centers. Your feedback and thoughts on this initiative would be greatly appreciated.</description></oembed>