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As one of the most prominent use cases to date, machine learning (ML) at the edge has allowed enterprises to deploy ML models closer to their end-customers to reduce latency and increase responsiveness of their applications. Even ground and aerial robotics can use ML to unlock safer, more autonomous operations. Instances[*].
About the Authors Simon Zamarin is an AI/ML Solutions Architect whose main focus is helping customers extract value from their data assets. Vikram Elango is an AI/ML Specialist Solutions Architect at Amazon Web Services, based in Virginia USA. Manager of AI/ML Solutions Architecture at Amazon Web Services.
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