Desktops bottlenecked mapping to city-sized areas. Now, cloud ML analyzes petabytes of satellite data to accurately map global forests.
A geospatial analytics organization processes petabytes of optical, radar, and LiDAR satellite data to produce audit-grade land-cover and carbon maps of the world's forests.
Mapping an area the size of greater London previously took weeks on desktop computers, making it impossible to scale globally. When new European...
“With Microsoft Foundry and Planetary Computer we’ve increased data production by 100 times, and our time for mapping has gone from six months to six weeks—a 75% reduction.”
Satellite data analytics for forest conservation and nature-based carbon projects.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Local computers couldn't process millions of satellite images. Parallel ML now maps 50,000+ pollution sources across 1.5M sq miles.
Internal hosting delayed deployments at complex industrial sites. Migrating to Azure turned existing security cameras into AI monitors.
Standard cloud setups were too rigid for orbital hardware. Now, custom GPU attachments power autonomous AI in space.
Local computers couldn't process millions of satellite images. Parallel ML now maps 50,000+ pollution sources across 1.5M sq miles.
Internal hosting delayed deployments at complex industrial sites. Migrating to Azure turned existing security cameras into AI monitors.
Admin overhead slowed decision-making. Copilot now automates content generation, cutting daily busywork by 30 mins.
Standard cloud setups were too rigid for orbital hardware. Now, custom GPU attachments power autonomous AI in space.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.
Desktops bottlenecked mapping to city-sized areas. Now, cloud ML analyzes petabytes of satellite data to accurately map global forests.
A geospatial analytics organization processes petabytes of optical, radar, and LiDAR satellite data to produce audit-grade land-cover and carbon maps of the world's forests.
Mapping an area the size of greater London previously took weeks on desktop computers, making it impossible to scale globally. When new European...
“With Microsoft Foundry and Planetary Computer we’ve increased data production by 100 times, and our time for mapping has gone from six months to six weeks—a 75% reduction.”
Satellite data analytics for forest conservation and nature-based carbon projects.
Enterprise software, cloud infrastructure, and consumer electronics platform.
Related implementations across industries and use cases
Local computers couldn't process millions of satellite images. Parallel ML now maps 50,000+ pollution sources across 1.5M sq miles.
Internal hosting delayed deployments at complex industrial sites. Migrating to Azure turned existing security cameras into AI monitors.
Standard cloud setups were too rigid for orbital hardware. Now, custom GPU attachments power autonomous AI in space.
Local computers couldn't process millions of satellite images. Parallel ML now maps 50,000+ pollution sources across 1.5M sq miles.
Internal hosting delayed deployments at complex industrial sites. Migrating to Azure turned existing security cameras into AI monitors.
Admin overhead slowed decision-making. Copilot now automates content generation, cutting daily busywork by 30 mins.
Standard cloud setups were too rigid for orbital hardware. Now, custom GPU attachments power autonomous AI in space.
Hundreds of pages per board book slowed director prep. Now, isolated AI securely condenses sensitive materials into actionable briefs.
Custom hardware bottlenecked imaging. A switch to software-defined GPUs now renders photorealistic 3D hearts in real time.