Across nearly all major industries, many are looking toward a future of mass adoption of geospatial technologies. But what technical and commercial barriers do we need to break down to truly democratize access to geospatial data and analytics?

Globally, institutions and companies have gathered more Earth observation (EO) data than can ever be analyzed using traditional image processing methods. With emerging companies racing to launch their own EO systems, we face an unprecedented increase in capacity and volume of data that inspires us to explore the importance of machine learning and cloud computing infrastructure in generating insights at scale. In this interview Sean Wiid, Chief Product Officer at UP42, explains the role of platforms like UP42 in enabling the mass adoption of geospatial technologies.

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