<?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/3e7614a4616946aa90b5ffcb367dd7c0&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/3e7614a4616946aa90b5ffcb367dd7c0-3b2dd91001f1d3c5.gif</thumbnail_url><duration>188.360001</duration><title>AI Strategy: Building vs. Buying Solutions 🤖</title><description>Today&apos;s video delves into the complexities of AI strategy, focusing on the decision-making process between building and buying solutions for enterprise deployment. Key considerations include data sourcing, model training, risk assessment, and the balance between pre-built and customized solutions. Viewers are encouraged to explore a blended approach for optimal AI performance and customer interaction.</description></oembed>