Tuesday, 24 November 2020 14:30

Amazon SageMaker Studio arrives in Sydney

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AWS' Amazon SageMaker Studio IDE for machine learning is now available in the Asia Pacific (Sydney) region.

SageMaker Studio, which is based on JupyterLab, is said to provide a visual interface for all ML development steps.

Its availability has been extended to an additional 13 regions, including Asia Pacific (Hong Kong), Asia Pacific (Mumbai), Asia Pacific (Seoul), Asia Pacific (Singapore), Asia Pacific (Sydney), and Asia Pacific (Tokyo).

Local SageMaker customers include Transport for NSW, which has used it to determine how the weather impacts public transport use and thus better predict patronage numbers across the transport network.

"With the launch of Amazon SageMaker Studio in the AWS Asia Pacific (Sydney) Region, we are helping our customers to manage all the pieces needed to build, train, explain, inspect, monitor, debug, and run custom machine learning models all in one place." said AWS ANZ director of public sector technology and transformation Simon Elisha.

"AWS offers the broadest and deepest set of machine learning services available in the cloud, and we are looking forward to seeing how our local customers use Amazon SageMaker Studio to continue to innovate and improve their customer experiences."


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Stephen Withers

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Stephen Withers is one of Australia¹s most experienced IT journalists, having begun his career in the days of 8-bit 'microcomputers'. He covers the gamut from gadgets to enterprise systems. In previous lives he has been an academic, a systems programmer, an IT support manager, and an online services manager. Stephen holds an honours degree in Management Sciences and a PhD in Industrial and Business Studies.

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