<?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/17958953d77d4c18b8532501d7a9be76&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/17958953d77d4c18b8532501d7a9be76-a3c43c48c979db40.gif</thumbnail_url><duration>223</duration><title>Unifying Banking Semantics: Designing for Clarity and Control in Finance 🏦</title><description>In this video, I discuss the complexities of semantic differences across banking domains such as Treasury, Finance, Credit, and Regulatory Reporting. Each domain has its own grammar, which complicates the translation of data and can lead to significant issues if not managed properly. I emphasize the importance of controlled translation and the need for certified grammars that can reconcile different representations of the same underlying events. I highlight that our platform must include robust controls to ensure trust in the data outputs. If you&apos;re interested in mapping your grammars and enhancing your control surfaces, I encourage you to book a call with me.</description></oembed>