Summary Jeremy Malczyk, a Cloud geographer at Google, discusses how AI is used to refine and analyze large amounts of data in the cloud. Google’s Earth Engine platform combines open source and proprietary tools to deliver actionable insights from 100 petabytes of data, covering 40 years of imagery. They have also developed land cover and cloud monitoring products using AI, which have practical applications such as monitoring changes on the ground and saving costs for the US Census Bureau. Google is working towards building comprehensive models that can understand and analyze various aspects of the world, such as agricultural boundaries and multimodal imagery. Highlights 🌐 Google’s Earth Engine platform combines AI and cloud tools to analyze massive amounts of data. 📊 Land cover and cloud monitoring products have been developed using AI, resulting in valuable insights. 💡 Google aims to build comprehensive models that can understand different aspects of the world. 🌍 These models have practical applications, such as monitoring changes on the ground and supporting sustainable agriculture. 📈 The use of sophisticated AI models has improved the value obtained from data analysis. 🚀 Google is integrating its AI platform with open-source tools and frameworks like TensorFlow. 📚 Google’s collaborative ecosystem allows users to access and utilize the Earth Engine platform effectively. About FedGeoDay: FedGeoDay is the premier annual event for the open source geospatial community within the U.S. federal government. It brings together federal program managers, technology leaders, industry partners, and open-source enthusiasts to share ideas, showcase innovations, and foster collaboration around open geospatial technologies, data, and practices. FedGeoDay highlights the growing importance of open source in building resilient, efficient, and collaborative geospatial solutions for the federal government and beyond.