AWS Summit Series 2019 - Santa Clara: LN Renganarayana, Workday
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Опубликовано 8 апреля 2019, 17:15
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By building its machine-learning environment on AWS, Workday is seeing a significant reduction in its ML development time and faster experimentation. Workday delivers financial management, human capital management, planning, and analytics applications designed for the world’s largest organizations. The company leverages Amazon SageMaker notebooks, SageMaker ML Algorithms, MXNet, and GPUs to train and tune ML models for a variety of products. LN Renganarayana, head of data science and machine-learning architecture at Workday, spoke onstage at the 2019 AWS Santa Clara Summit.
By building its machine-learning environment on AWS, Workday is seeing a significant reduction in its ML development time and faster experimentation. Workday delivers financial management, human capital management, planning, and analytics applications designed for the world’s largest organizations. The company leverages Amazon SageMaker notebooks, SageMaker ML Algorithms, MXNet, and GPUs to train and tune ML models for a variety of products. LN Renganarayana, head of data science and machine-learning architecture at Workday, spoke onstage at the 2019 AWS Santa Clara Summit.
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