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The explosive growth of data flows in recent years has made Artificial Intelligence an indispensable tool for data processing and analysis. This holds particularly true in Earth Observation (EO). The thousands of EO satellites expected to be launched in the next decade will generate petabytes of data, which will have to be converted into EO products by advanced data science methods and artificial intelligence (AI), such as machine learning. This integration of AI in EO presents a series of opportunities and challenges, as it not only requires access to large datasets and relevant machine learning skills but also substantial capital investments. This workshop will gather a variety of stakeholders from European initiatives such as AI4EU, AI4Copernicus, AI4EO and many more to discuss these issues and share experiences on: ● How to bridge the gap between the AI and EO communities ● Novel AI methods converting satellite imagery into valuable EO products ● New opportunities for businesses and science ● Use-cases developed or tested by researchers, scientists and companies At the end a pitching session will provide short and to-the-point presentations from the several European initiatives. Tune in to meet AI and EO experts and learn the latest trends in the sector! AGENDA Moderator: Marcello Maranesi, Advisor to the Board of Directors of EARSC The voice of the users: ● Evangelia Markidou , Head of Sector Artificial Intelligence Technology, Deployment and Impact, European Commission - AI4EU Project officer ● Michele Lazzarini, RTDI Project Manager, SatCen - AI4Copernicus user ● Pierre Philippe Mathieu, Head of the Φ-lab Explore Office, Earth Observation Future Systems Department, European Space Agency, AI4EO user Pitching Session: ● AI4Copernicus: Xenia Ziouvelou, Research Associate NCSR Demokritos ● AI4EO: Annekatrien Debien, AI4EO Project Manager & Head of the Brussels office of SpaceTec Partners ● DeepCube: Ioannis Papoutsis, Researcher, National Observatory of Athens, Institute of Astronomy, Astrophysics, Space Applications & Remote Sensing

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