TAMPA, Fla. — Amazon Web Services is busy positioning its cloud infrastructure business to capitalize on the promise of generative artificial intelligence for transforming space and other industries.
More than 60% of the company’s space and aerospace customers are already using some form of AI in their businesses, according to AWS director of aerospace and satellite Clint Crosier, up from single digits around three years ago.
Crosier predicts similar growth over the next few years in space for generative AI, which uses deep-learning models to answer questions or create content based on patterns detected in massive datasets, marking a major step up from traditional machine-learning algorithms.
Mathematical advances, an explosion in the amount of available data and cheaper and more efficient chips for processing it are a “perfect storm” for the rise of generative AI, he told SpaceNews in an interview, helping drive greater adoption of cloud-based applications.
“In the last year, AWS has fundamentally reorganized itself internally so that we could put the right teams [and] organizational structure in place … so that we can really double down on generative AI,” he said.
He said AWS has created a “generative AI for space” cell of a handful of people to engage with cloud customers to help develop next-generation capabilities.
These efforts include a generative AI laboratory for customers to experiment with new ways of using these emerging capabilities.
Crosier sees three main areas for using generative AI in space: geospatial analytics, spacecraft design and constellation management.
Earth observation satellite operators such as BlackSky and Capella Space already use these tools to help manage search queries and gain more insights into their geospatial data.
It’s early days in the manufacturing sector, but Crosier said engineers are experimenting with how a generative AI model fed with design parameters could…
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