{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/763fc83c349a47ad8e3c54f2bea603a2\" frameborder=\"0\" width=\"1672\" height=\"1254\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1254,"width":1672,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1254,"thumbnail_width":1672,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/763fc83c349a47ad8e3c54f2bea603a2-40a626609eb5ec53.gif","duration":129.1535,"title":"Industrial Co-Pilot Demo","description":"In this video, I demonstrate the capabilities of an industrial co-pilot using simulated pi-historian data. I ask the agent a question about a freezer temperature spike, and it efficiently analyzes the data to provide a root cause analysis. The entire process takes just 22 seconds and costs only two cents in OpenAI credits. I encourage you to consider how this technology can impact our operations and share your thoughts on its potential applications."}