| Sumario: | "Data is everywhere, but now over 80% of data is spatial. Whether it's a coordinate, address, place name, or postal code, location information is at the heart of digital transformation. Spatial data science allows organizations to combine information, find patterns, make predictions and build insight--helping them to see data, challenges, and the world differently. Shannon Kalisky and Alberto Nieto explore how to combine industry-leading spatial analytics with modern data science frameworks to support your end-to-end analytical processes. As organizations navigate the new waves of innovation brought on by artificial intelligence, spatial problem solving will be key in accurately defining problems, finding answers, and building explainable workflows. This session is from the 2019 O'Reilly Strata Conference in New York, NY and is sponsored by Esri."--Resource description page.
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