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Vijay Krishnan from Intel Geospatial on AI, the Cloud, and the future of data integration, visualization, and analysis

OGC Member Intel recently launched Intel Geospatial, a cloud-based geospatial data management, visualization, and AI platform with applications in asset management across utilities smart cities, energy, and other industries. We sat down (virtually) with Intel Geospatial General Manager, Vijay Krishnan, to discuss AI, the Cloud, and what the future of data integration, visualization, and analysis may look like.

Big Processing of Geospatial Data

Geospatial Data has always been Big Data. Now Big Data Analytics for geospatial data is available to allow users to analyze massive volumes of geospatial data. Petabyte archives for remotely sensed geodata were being planned in the 1980s, and growth has met expectations. Add to this the ever increasing volume and reliability of real time sensor observations, the need for high performance, big data analytics for modeling and simulation of geospatially enabled content is greater than ever. In the