Saving Louisiana’s Coastline with Cloud-Based Modeling
The United States Geological Survey calculates that the state of Louisiana loses the equivalent of one football ﬁeld of land every 100 minutes.
The Water Institute of the Gulf (Water Institute), a Louisiana-based nonproﬁt, runs hurricane storm surge and wave analysis models on AWS to understand how the coast is changing and to help inform planning.
Reducing Simulation Time From Months to Days Using AWS
To model storm surges, the Water Institute team simulates potential hurricanes. What previously took months using traditional supercomputers now takes only days using AWS.
Zero-Waste Trucking With Convoy
Started in 2015, Convoy is a digital freight network. Using machine learning on AWS, Convoy connects shippers and carriers to freight to reduce empty miles and eliminate carbon waste. Building on Amazon Sagemaker, Convoy uses machine learning and automation to connect shippers and carriers to freight to reduce empty miles and eliminate carbon waste.
Making Trucking More Efficient
Truckers drive billions of miles yearly—many with empty trucks, wasting time and fuel.
3.7 million times
Powering the World with Wind
GE Renewable Energy generates wind electricity using thousands of turbines. One Haliade-X turbine can light an entire city.
Increasing Energy Production by 20%
GE Renewable Energy can gather, monitor, analyze, and take action on turbine data using AWS—increasing energy production by as much as 20 percent.
Created a data lake using AWS services where it collects and analyzes machine data captured at GE wind turbines around the world
Amazon Simple Storage Service (Amazon S3) stores wind turbine data
Amazon Redshift analyzes collected data and provides new insights