The Future of Geospatial AI
From text generation to Segmenting Images
With the current pace of AI development, following up with all the tools can be challenging. Almost every imaginable task has virtually a new AI tool, including text, images, productivity, academic writing, and presentations.
The AI revolution is sweeping all over.
AI technologies are increasingly being integrated with the geospatial world. We have seen tools like ChatGPT used to increase the efficiency of geospatial data analysis, such as generating geospatial data on the fly, solving geospatial problems, or creating code for geospatial analysis.
Overall, the integration of AI and geospatial technologies will likely continue to grow in the coming years, but how will this integration evolve?
The GeoAI industry will develop slowly.
Why?
Because spatial is special.
Geospatial data is more complex than other forms of data. For example, ChatGPT fails to provide accurate distances or directions from one place to another. Simulating geospatial problems often come with some limitations and challenges. These challenges can be due to the complexity of geospatial data, the variety of data sources used, the up-to-dateness of the data, and the many layers…
