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In this Geomob podcast episode, Alastair welcomes Max Lenormand back to discuss his current geospatial data science work at Fused. Max shares insights into the challenges faced by data scientists and lays out how Fused aims to simplify serverless computing for data analysis. The conversation covers the importance of user-defined functions, real-world applications of their tools, and the future of Fused as they engage with the community.
Later on, they delve into the intersection of AI, particularly large language models (LLMs), and geospatial data. They discuss the advancements in LLMs, the potential for connecting these models to real-time data through HTTP requests, and the implications for accessibility in data analysis.
Show notes on the Geomob website, where you can also learn more about Geomob events and sign up for our monthly newsletter.
By Ed Freyfogle5
77 ratings
In this Geomob podcast episode, Alastair welcomes Max Lenormand back to discuss his current geospatial data science work at Fused. Max shares insights into the challenges faced by data scientists and lays out how Fused aims to simplify serverless computing for data analysis. The conversation covers the importance of user-defined functions, real-world applications of their tools, and the future of Fused as they engage with the community.
Later on, they delve into the intersection of AI, particularly large language models (LLMs), and geospatial data. They discuss the advancements in LLMs, the potential for connecting these models to real-time data through HTTP requests, and the implications for accessibility in data analysis.
Show notes on the Geomob website, where you can also learn more about Geomob events and sign up for our monthly newsletter.

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