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As AI capabilities continue to evolve, GIS professionals are beginning to explore how Artificial Intelligence can streamline complex queries, simplify spatial workflows, and expand access to data insights across teams. But with this innovation comes important questions: What does responsible implementation look like? How do we balance automation with oversight? And what does it mean for the future of spatial analysis? In this webinar, we examine how natural language processing and spatial query automation are changing the way organizations engage with their geospatial data. We walk through practical examples using Oracle Spatial functions and demonstrate how platforms like Enlighten are applying AI to support, not replace, the role of GIS professionals. During this video, we cover: • The role of AI in simplifying and accelerating spatial query workflows • How natural language prompts are interpreted into Oracle Spatial functions • Key considerations around governance, transparency, and data integrity • Limitations of AI in spatial systems and how to address them • A demonstration of AI-driven queries within Enlighten Whether you’re a GIS analyst, planner, or asset manager, this session provides a practical look at how AI can make geospatial analysis more accessible, accurate, and efficient, while keeping oversight and security in mind. ========================== For more information, check out: https://www.openspatial.com/ https://www.asconstructed.com/ Let's get social: Twitter: / open_spatial LinkedIn: / open-spatial