How to Connect Data & AI with Dog Intelligence
summary
A new DB Netz division builds production-ready data products and claims concrete wins: training sniffer dogs + scent data and centralizing those observations into a reusable dataset that makes species surveys faster and more reliable, shortening project timelines and reducing cost; deploying track-video ML for vegetation hotspots to replace glyphosate by automating edge detection and growth intensity per track segment; and assembling InfrMaps digital twin that fuses aerial photos, track videos and 3D point clouds into a unified, operational geo platform.
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chapters (7)
- 0:00Introduction and context
- 1:28Building the AI division
- 3:55Core principles of the concept
- 7:29Data and AI use cases
- 12:29Learnings and strategy
- 15:14Role of intelligence architects
- 17:16Q&A and closing
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