Explore the podcast → https://ibm.biz/BdpsAa On AI in Action, IBM researcher Campbell Watson explains how foundation models are accelerating discovery across Earth and space science. Moving beyond traditional numerical methods, his team applies concepts from large language models to multimodal satellite data to build powerful, open-source AI systems. In collaboration with NASA and the European Space Agency, they have developed foundation models for Earth observation, weather and heliophysics. They are using AI for sustainability use cases, such as flood detection, biodiversity monitoring and solar flare forecasting. Designed for hybrid cloud environments and even deployed in orbit, these models point toward a future where AI and quantum computing unlock deeper planetary insights. 0:00 - Intro 9:00 - Collaborating with NASA and the European Space Agency 11:17 - Why foundation models are ideal for satellite data 15:18 - Foundation models for Earth, climate and the Sun 21:49 - Putting AI in orbit 24:03 - Updating satellite intelligence from the ground 28:21 - Designing foundation models for usability, not scale 30:34 - Quantum computing and the future of space science AI news is moving fast. Keep your business ahead with updates about AI advancements, strategies and expert perspectives → https://ibm.biz/BdpsAG The opinions expressed in this podcast are solely those of the participants and do not necessarily reflect the views of IBM or any other organization or entity. #spacetechnology #climatetech #opensourceai #enterpriseai #satelliteimagery

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