AI, what do you think about my geo data? Spatial analysis with GenAI

I will discuss how generative AI simplifies working with geospatial data.

We’ll explore how large language models (LLMs) generate reports, text descriptions, and annotations on maps. We’ll also touch on the role of Retrieval-Augmented Generation (RAG) in integrating geo data into analytical reports, as well as using AI to analyse geo data and implement analysis results into business processes through reverse ETL. You’ll learn how to quickly develop applications and chatbots/virtual assistants powered by LLMs and RAG that help work with spatial data without requiring specialised knowledge.

This talk will be valuable for:

• Data analysts, data engineers, and data scientists interested in geo data and Spatial Data Science.
• Geoanalysts looking to master methods of working with big data and machine learning.
• Business analysts from various sectors who want to learn how to forecast location-based decisions.
• Systems analysts and architects interested in applying geo data.