Industry has more work ahead to make data analytics less dependent on human supervision (Sandra Erwin, Space News)

October 8, 2021

The geospatial intelligence industry has come a long way in its race to turn imagery into meaningful data for decision makers. But there is still much work ahead to make machines more capable of drawing insights from raw data, said Scot Currie, chief solutions architect at Earth observation company BlackSky.

The problem today is that artificial intelligence (AI) and machine learning are not mature enough to a point where the analytics can be fully automated, Currie told SpaceNews on the sidelines of the 2021 GEOINT Symposium.

Industry has more work ahead to make data analytics less dependent on human supervision – SpaceNews

Marco Emanuele

Marco Emanuele è appassionato di cultura della complessità, cultura della tecnologia e relazioni internazionali. Approfondisce il pensiero di Hannah Arendt, Edgar Morin, Raimon Panikkar. Marco ha insegnato Evoluzione della Democrazia e Totalitarismi, è l’editor di The Global Eye e scrive per The Science of Where Magazine. Marco Emanuele is passionate about complexity culture, technology culture and international relations. He delves into the thought of Hannah Arendt, Edgar Morin, Raimon Panikkar. He has taught Evolution of Democracy and Totalitarianisms. Marco is editor of The Global Eye and writes for The Science of Where Magazine.

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