Thunderhead Explorer

I recently attended the Esri Saudi Arabia User Conference and was amazed by the changes in the Kingdom. The capital city of Riyadh is booming and proliferating. During the conference, I presented on integrating GenerativeAI and GIS in the plenary session and led a session on BigData and GeoAnalytics Engine . GeoAnalytics Engine, based on Apache Spark , allows spatial operations on Spark data frames. We showcased a project called "A Day in the Life," which used historical traffic data from HERE to demonstrate traffic congestion during peak hours. Traffic is notoriously bad in the city, so this was a fitting example. My colleague Mahmoud H. presented a traditional workflow process in a Jupyter Notebook off a Google Cloud DataProc cluster, efficiently processing over 300 million records (this is relatively "small"). The processed traffic information was then displayed in ArcGIS Pro in a time-aware layer to reflect the congestion visually while activating a time sli...

 Hello, everyone. It has been a while since my last post, and I wanted to explain my absence. I have been working on demanding client projects requiring confidentiality, so I couldn't share anything. But now I'm back and excited to dive into something new and exciting.  Generative AI (GenAI) has gained much attention lately, but I'm taking it to a different level by merging Large Language Models (LLMs) with insights from geospatial analysis. It's GenAI with a GeoSpatial twist. I want to introduce a simple project, " ReAct geospatial logic with Ollama ," which uses resources such as the Python Langchain and Ollama . I'm thrilled to be back and can't wait to start this new journey with you. Keep an eye on this space for future updates, tips, and unique code snippets. Your feedback and questions are valuable, so please don't hesitate to reach out. I'll see you in the next post, and as usual, you can check out the source code here .