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Adam DuVander returns to the podcast to discuss the evolving geospatial developer landscape, particularly in the context of low-code tools and AI's impact on the industry. They explore the scepticism surrounding AI's reliability in geospatial services, the blind trust some developers place in AI outputs, and the challenges of ensuring data accuracy. The conversation also touches on the importance of creating unique content amidst a sea of generic AI-generated material and the role of developers in guiding new users through the complexities of these technologies.
Show notes on the Geomob website, where you can also learn more about Geomob events and sign up for our monthly newsletter.
5
77 ratings
Adam DuVander returns to the podcast to discuss the evolving geospatial developer landscape, particularly in the context of low-code tools and AI's impact on the industry. They explore the scepticism surrounding AI's reliability in geospatial services, the blind trust some developers place in AI outputs, and the challenges of ensuring data accuracy. The conversation also touches on the importance of creating unique content amidst a sea of generic AI-generated material and the role of developers in guiding new users through the complexities of these technologies.
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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