<?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/633f49f52d024e26a948df5d76ea1715&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/633f49f52d024e26a948df5d76ea1715-aec521b1c5287a38.gif</thumbnail_url><duration>680.712</duration><title>Leveraging AI for Efficient Data Management in Podio</title><description>In this video, I demonstrate how to leverage AI within Podio to streamline the process of extracting automotive data from inconsistent inputs. I created an automotive assets application that automatically parses make, model, and year from a lump of data using Procfoo and OpenAI&apos;s ChatGPT API. By importing 33 records, I showcase how the AI efficiently identifies and organizes the information, even correcting typos and creating new entries when necessary. I encourage viewers to explore these automation techniques to enhance their workflows and save time. Please check the results of the import and consider how you can apply similar methods in your own projects.</description></oembed>