{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The Drone Network","title":"Drone Imagery, Spatial Scale, and the Future of Physical AI","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/1434d4ab\"></iframe>","width":"100%","height":180,"duration":1625,"description":"What makes drone data valuable — and who should be using it? \nBen Kovacs is the Senior Product Marketing Lead at Spexi Geospatial, and he spent his early career inside the commercial satellite industry, helping customers navigate the gap between what space-based imaging promised and what it could actually deliver. From drones to satellites to the systems that will eventually task them automatically, this episode covers spatial data, how it's changing, and what's still misunderstood. \n\nIn this episode:\nThe scale vs. detail tradeoff: where drones win, where satellites win, and why a distributed pilot network changes the math\nWhat \"data freshness\" actually means and how to explain it to someone who's never thought about it\nWhy standardization is the unlock for drone data reaching its potential\nThe industries most underserved by spatial data right now (cities and utilities)\nHow to tell real drone use cases from hype (real business)\nThe concept of parametric tasking: a future where sensors in the field automatically trigger imaging requests without a human in the loop\nThe Drone Network is sponsored by Spexi Geospatial and LayerDrone. Learn more at spexi.com and layerdrone.org.","thumbnail_url":"https://img.transistorcdn.com/yObPLmrJmSHAC2QJy1QXNq9_9BXFoMkZPA7mO_HapKE/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wYThj/MGQ4ZGU1NDgwZWJm/Y2YyZTllNmNiNjli/NjdkYS5wbmc.webp","thumbnail_width":300,"thumbnail_height":300}