AI enriches geographical data. More and better geographical insights thanks to artificial intelligence
New technologies such as AI, machine learning, deep learning and more specifically geoAI are indispensable in our society, because everything happens somewhere. By using AI, we extract more information from the location data owned by our customers. This allows them to predict more accurately, make better decisions and automate time-consuming tasks.
Practical information:
Want to register?
- Register until: 28 Jun 2022
- Price: free
Georganiseerd door:
In this webinar, Véronique De Laet will explain some concrete AI use cases for which customers rely on GIM:
- AI on earth observation to enhance a digital twin of the built-up environment
- AI for vegetation & asset management,
- AI in the context of sustainable development goals
The geoAI customers of GIM consist of marketeers (targeting of campaigns), insurance companies (risk assessment), government & utilities (maintain facilities) and several organisations with sustainable development goals.
Teacher / speaker
Veronique De Laet
Veronique is geografe, informaticus en een gedreven projectleider. Klanten van GIM, uit de privésector, kunnen op haar team rekenen om hun concurrenten een stap voor te blijven dankzij slimmere locatie-inzichten.
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