Pergi ke luar talian dengan aplikasi Player FM !
Podcast Berbaloi untuk Didengar
DITAJA


FedGeoDay 2024 | Lightning Talk - Jeremy Malczyk
Manage episode 418830534 series 3234430
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.
362 episod
Manage episode 418830534 series 3234430
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.
362 episod
Semua episod
×
1 Decoding Geo: The Civil Applications Committee | Special Coverage 17:14

1 Decoding Geo: USGS Landsat Year in Review | Special Coverage 29:13

1 Decoding Geo: Geography 2050 Recap | Special Coverage 22:55

1 Decoding Geo: FedGeoDay 2024 Recap | Special Coverage 16:06

1 Decoding Geo: FOSS4G NA 2024 Recap | Special Coverage 29:02

1 Decoding Geo: GEOINT 2024 Recap | Special Coverage 14:46

1 Industry Limelight | Eagleview - A Conversation with CEO Piers Dormeyer 17:37

1 FOSS4G NA 2024 - Interactive Analysis & Visualization of Geospatial Data with Leafmap - Qiusheng Wu 27:23

1 FOSS4G NA 2024 - Applying Large Language Models to Geospatial Search and Analysis - Jason Gilman 24:47

1 FOSS4G NA 2024 - Tracking Detected Vessels at Sea from USVs - Jonathan Mason & Jian Wu 26:33

1 FOSS4G NA 2024 - Optimized Geospatial Indexing for Hybrid Search and GeoAI - Nicholas Knize 31:23

1 FOSS4G NA 2024 - Geospatial Radar Report 2024 - Lauren Frederic 22:51

1 FOSS4G NA 2024 - Keynote - Brian Monheiser 25:06

1 FOSS4G - Blazing Fast Geospatial SQL in DuckDB - Isaac Brodsky 26:43

1 FOSS4G NA 2024 - Speeding Up Raster/Vector Zonal Analysis with exactextract - Dan Baston 24:23
Selamat datang ke Player FM
Player FM mengimbas laman-laman web bagi podcast berkualiti tinggi untuk anda nikmati sekarang. Ia merupakan aplikasi podcast terbaik dan berfungsi untuk Android, iPhone, dan web. Daftar untuk melaraskan langganan merentasi peranti.