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Artificial Intelligence
Cloud raises AI
to new heights
The technology is enabling more robust analysis and sharing of data for better mission outcomes
Susie Adams
CTO, Microsoft
ARTIFICIAL INTELLIGENCE IS not new, but the challenge has always been curating and storing the terabytes of data that fuel AI. In addition, executing machine learning algorithms requires powerful computing resources that were typically only available on a limited number of supercomputers.
Fortunately, cloud technology has
given us vast capacity for data storage and nearly unlimited compute capacity to take advantage of AI, which is democratizing the ability for end users, not just data scientists, to build and run machine learning algorithms.
Cloud technology has given us vast capacity for data storage and nearly unlimited compute capacity to take advantage of AI.
Extending edge data to the cloud
Gartner predicts that by 2025, 75% of data will be gathered by edge devices. The latest technologies make it possible to operate on real-time edge data and upload that data to the cloud. For example, Microsoft
is helping the Tennessee Valley Authority leverage AI to prevent equipment failures across the 80,000 square miles of its service area. By gathering and analyzing data from far-flung equipment, TVA can be proactive about predictive maintenance and ensure
davooda/Shutterstock/FCW Staff
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