SatSummit
Picture of Bruno Sánchez-Andrade Nuño, PhD
Lisbon '24
Speakers

Bruno Sánchez-Andrade Nuño, PhD

He/Him.

Executive Director & Co-Founder at Clay.

About

Bruno is the Executive Director of Clay, the AI for Earth nonprofit, where he focuses on making AI learn Earth with open-source, open-data and open for business. He co-founded and leads the project. Previously, Bruno co-founded and directed the Planetary Computer at Microsoft. His past roles also include Vice President of Social Impact at Satellogic and Chief Scientist at Mapbox, emphasizing his extensive experience in data science and environmental technology.

Bruno's authorship of ""Impact Science: The science of getting to radical social and environmental breakthroughs"" highlights his commitment to science for social good. Recognized as a Young Global Leader by the World Economic Forum, Bruno's contributions to science and policy have been widely acknowledged.

Bruno also provides consulting services through ImpactScience.dev. His work spans multiple global locations. Originally from Asturias, Spain, Bruno currently resides in Copenhagen with his family.


On the agenda

  1. Welcome & Satellite State of Play

    Nov. 18 '24, 09:30
    Plenary
    E008

    A series of briefings on the current state of play and prospects for the future across the satellite sector, data, AI, and the application of EO data to climate issues.

    Moderators

    1. Ian Schuler
    2. Olaf Veerman

    Speakers

    1. Aravind Ravichandran
    2. Bruno Sánchez-Andrade Nuño, PhD
    3. Emmanuel Mathot
  2. Beyond Archiving Pixels - The ChatGPT of Earth

    Nov. 19 '24, 10:45
    Session
    Haddad

    The rise of foundational models has changed the AI landscape fundamentally, and brings its promise to geospatial data. Geospatial foundation models have the potential to produce useful results faster and cheaper than any previous approaches. Automated detection of critical semantic elements in imagery such as floods or deforestation is becoming possible. We explore real world applications of these new models, and pose the question: how do we crack the code and make the earth truly queryable?


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  1. Amazon Web Services (AWS)


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