{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/f4e7adbe72f040a889a36bc820578447\" frameborder=\"0\" width=\"1158\" height=\"868\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":868,"width":1158,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":868,"thumbnail_width":1158,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/f4e7adbe72f040a889a36bc820578447-2b0baac35b60aa24.gif","duration":1198.123,"title":"Exploring the Malloy Publisher: Building Trust in Data Through Semantic Models","description":"In this Loom, I introduce the Malloy Publisher, a semantic model server designed to enhance trust in data by providing a clear understanding of its meaning. I demonstrate how the Malloy modeling language and the Publisher work together to create a complete solution for building data experiences, from dashboards to AI agents. We explore the ease of deploying semantic models through packages and the powerful APIs available for integration with existing tools. I encourage viewers to explore the Publisher app and its pre-built dashboards, such as the Star Trek notebook, to see how we can leverage these tools for effective data analysis. Please take a moment to engage with the app and consider how it can enhance your data workflows."}