AWS Summit Online ASEAN 2020 | Streamlining machine learning operations [Level 300]

July 29, 2020
Machine learning (ML) workflows are continuous and iterative processes that require adequate tools and practices in order for ML teams to be highly efficient. In this session, we discuss the common challenges faced when using ML systems in production, and we address these challenges by diving deep into the new features introduced for Amazon SageMaker, including Amazon SageMaker Debugger and Amazon SageMaker Model Monitor. AWS Speaker: Kapil Pendse, Solutions Architect, Singapore, AWS
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AWS Summit Online ASEAN 2020 | Amazon SageMaker features to accelerate your ML journey [Level 300]
AWS Summit Online ASEAN 2020 | Amazon SageMaker features to accelerate your ML journey [Level 300]

Amazon SageMaker is used by thousands of customers to help build, tune and deploy their ML models. In this ...

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AWS Summit Online ASEAN 2020 | Industrial machine performance insights with AWS IoT [Level 400]
AWS Summit Online ASEAN 2020 | Industrial machine performance insights with AWS IoT [Level 400]

In this session, we perform a demonstration showing how you can connect a device to a machine, read sensor ...