Bias detection and explainability in AI and machine learning applications

AI services and machine learning are helping organisations to build data driven applications that are innovative and can be highly attuned to their customers’ needs, but AI applications require crucial customer data to train machine learning models. Application logic is delegated to these models, which can introduce unfairness and biases into an application. In this session we walk through the machine learning techniques and AWS services you can use to understand and reduce these risks.
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Developing fast and efficient data science while ensuring security and compliance
Developing fast and efficient data science while ensuring security and compliance

As organisations move to AWS they look to provide a secure, governed, and compliant way to provide easy acc...

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Productionising ML: From research to production with Amazon SageMaker and MLOps
Productionising ML: From research to production with Amazon SageMaker and MLOps

In this session we explore Woodside's experiences in taking a machine learning (ML) project out of locally-...