<?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/d0899c1105d94b83a26bd4d7c4174b75&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/d0899c1105d94b83a26bd4d7c4174b75-1acd3bf1871b8a21.gif</thumbnail_url><duration>284.424</duration><title>Building a Data Bridge: Insights from the Competition</title><description>In this video, I share my journey over the last 72 hours in a competition where I aimed to create a data bridge for municipal snow events using Geotab&apos;s route completion data. I initially struggled with advanced tools but pivoted to AI Studio, which helped me build a fast and intuitive UI. My main challenge was developing a Google Apps script to securely connect and process telematics data for GIS integration. Although I faced obstacles with API handshakes and data retrieval, I gained valuable insights into the architecture of these systems. I&apos;m submitting my progress as proof of concept, and I encourage viewers to consider the foundational work necessary before diving into more complex applications.</description></oembed>