<?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/6d6240bcbe184c13a1f4c410e86d467e&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/6d6240bcbe184c13a1f4c410e86d467e-22122bdedac02f65.gif</thumbnail_url><duration>582.666667</duration><title>What if they...HubSpot AI Case study</title><description>In this episode of What If They Use Wrangler AI, I explored HubSpot&apos;s AI features and their architectural setup, focusing on how they integrate AI into their CRM tools. I discussed the use of AWS and Google Cloud environments, particularly mentioning their partnerships with OpenAI and Stability AI. I highlighted the importance of cost optimization and data governance, especially when handling sensitive information. I also introduced Ranglai, our AI cost intelligence platform, which can help organizations like HubSpot optimize their AI usage and improve visibility. If you&apos;re interested, I encourage you to sign up for a free 60-day trial to explore our analytics capabilities further.</description></oembed>