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Enabling business analysts and the line of business to scale the adoption of ML

Organisations are looking to leverage the broad set of in-house analytics skills to help scale the adoption of machine learning to drive business outcomes.

SageMaker Canvas provides a visual point-and-click interface for business analysts to build ML models and generate accurate predictions without writing code or having any previous ML experience. SageMaker Canvas uses AutoML technology from Amazon SageMaker to automatically create ML models based on your unique use case.

Importantly, SageMaker Canvas is integrated with Amazon SageMaker Studio, making it easier for business analysts to share models and datasets with data scientists so they can validate and further refine the ML model.

Speakers:

  • Mark Shoebridge, AI & ML Business Development ANZ, AWS
  • Jonathan Hedley, Principal AI/ML Specialist SA, AWS
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