CARTO now lets you run analytics directly on geospatial foundation model embeddings. Visualize, cluster, and detect changes to turn spatial data into decisions.
Integrate Google's PDFM embeddings into CARTO Workflows for enhanced spatial models. This blog shows two use cases on how these embeddings improve predictions.
Explore how geospatial foundation models like Google’s PDFM are revolutionizing spatial analytics, from disaster response to urban planning with CARTO.
Discover how Snowflake ML in CARTO simplifies machine learning for spatial analytics. Easily build, train, and deploy forecasting models in your workflows.
Learn how to detect crime anomalies & assess property risk in near real-time using CARTO Workflows—low-code spatial analytics for scalable spatial data science