Geospatial generative AI with Amazon Location Service & Databricks

Today, geospatial workflows typically consist of loading data, transforming it, and then producing visual insights like maps, text, or charts. Generative AI can automate these tasks through autonomous agents. In this video, we discuss how to use foundation models from Databricks to power agents to complete geospatial tasks. These agents can perform various tasks and answer questions using location-based services like geocoding available through Amazon Location Service. Prerequisite: =========== End to End Implementation of Location-based Search Service https://youtu.be/y_R7SljUUT4?si=u0-DtchbwkmSaDuX When Function Calling Isn’t Enough — The Intuition Behind AI Agents https://medium.com/data-engineer-things/when-function-calling-isnt-enough-the-intuition-behind-ai-agents-8873ab5131ad Code: ===== https://github.com/SatadruMukherjee/Data-Preprocessing-Models/blob/main/Geo%20Agent%20POC%201.ipynb Snowflake Complete Course from scratch with End-to-End Project with in-depth explanation-- https://doc.clickup.com/37466271/d/h/13qc4z-104/d4346819bd8d510 *Explore our vlog channel:* https://www.youtube.com/@funwithourfam/videos 🙏🙏🙏🙏🙏🙏🙏🙏 YOU JUST NEED TO DO 3 THINGS to support my channel LIKE SHARE & SUBSCRIBE TO MY YOUTUBE CHANNEL‬