The integration of Artificial Intelligence (AI) into various operational and strategic sectors marks a significant shift in the way data is managed and analyzed. In the geospatial context as in many others, usage of generative AI radically changes the way the user can interact with the platform, bringing new use cases and decoupling the value that we can get out of the data catalogs.

In this presentation, we will quickly cover the generative AI principles (Natural Language Processing, Large Language Models, etc…) and what it can bring to the geospatial ecosystem in terms of usages.

We will then dive into more specific examples, explain how it works and how we can set them up into existing applications
- Enrich data readability and findability from unstructured data
- Improve search with Semantic or Hybride search
- Bring natural language conversation for easy interactions within the platforms
- Analyze data for a better understanding and outcome

These examples and demonstrations are based on Free and Open Source geospatial solutions and rely on OGC standards.

Hopefully, the presentation will give your a new perspective about what generative AI can bring to your data and your catalogs, with great insights and concrete applications.