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:
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.
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.
