Building geospatial apps with GenAI and Databricks
Learn how to use GenAI and Databricks’ Spatial SQL to build, host, and scale geospatial apps in Felt — all starting from your own data lakehouse environment.
Geospatial analysis is too often split between two extremes: data teams stuck coding complex web apps and workflows, and GIS analysts and business users paying consultants for simple apps. The result? Slow insights, high costs, and missed opportunities. But what if anyone could ask natural language questions, analyze billions of records, and instantly build beautiful geospatial apps - all connected to your data & AI platform? In this session, we’ll show you exactly how: starting with your data in Databricks and finishing with a production-ready map app in Felt:
- How to teach your LLM geospatial concepts
- How to build and host geospatial apps with natural language
- How to store and query billions of geospatial records using Databricks’ new Spatial SQL
Speakers
Jaime Sanchez
Director of Partnerships·Felt
Jaime leads Felt’s go-to-market and product relationships with leading Data & AI service providers such as AWS, Snowflake and Databricks. Jaime brings a strong foundation in computer science and over 10 years of GTM experience in geospatial tech which helps drive our strategy of bringing cloud native GIS to our customer’s infrastructure.
Michael Johns
Geospatial Specialist Leader·Databricks
Michael leads customer adoption of scalable data solutions across the Americas, leveraging the power of the Databricks Lakehouse Platform for geospatial analytics. As a founding member of Databricks’ Geospatial SME group, Michael provides thought leadership, authors technical content, and speaks at industry events, helping shape the platform’s strategic direction.
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