Machine learning (ML) is disrupting a lot of industries at an unprecedented pace. The healthcare and life sciences (HCLS) industry has been going through a rapid evolution in recent years embracing ML across a multitude of use cases for delivering quality care and improving patient outcomes.
In a typical ML lifecycle, data engineers and scientists spend the majority of their time on the data preparation and feature engineering steps before even getting started with the process of model building and training. Having a tool that can lower the barrier to entry for data preparation, thereby improving productivity, is a highly desirable ask for these personas. Amazon SageMaker Data Wrangler is purpose built by AWS to reduce the learning curve and enable data practitioners to accomplish data preparation, cleaning, and feature engineering tasks in less effort and time. It offers a GUI interface with many built-in functions and integrations with other

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