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Geospatial data is everywhere—whether it’s tracking real-time traffic, predicting weather patterns, or mapping critical infrastructure. But making sense of massive location-based datasets can be a challenge. That’s where MongoDB comes in. With built-in geospatial indexing and querying, MongoDB makes it easy to store and analyze everything from real-time sensor feeds to historical maps. Need to find the closest charging station? Optimize delivery routes? Detect anomalies in infrastructure? MongoDB’s flexible document model and GeoJSON support let you do it all—at scale. But it doesn’t stop there. AI is changing the way we work with geospatial data, and MongoDB Atlas Vector Search makes it possible to power predictive analytics, detect patterns, and enhance geospatial search with AI-driven insights. Imagine a system that can automatically flag areas at risk of flooding, optimize public transit routes based on real-time demand, or analyze aerial imagery for infrastructure damage—all in one place. Join us to learn how MongoDB helps developers, data scientists, and city planners unlock the full potential of geospatial data and AI, making the world more connected, efficient, and intelligent. Raahil Amarshi Solutions Architect MongoDB