The proliferation of machine learning (ML) across a wide range of use cases is becoming prevalent in every industry. However, this outpaces the increase in the number of ML practitioners who have traditionally been responsible for implementing these technical solutions to realize business outcomes.
In today’s enterprise, there is a need for machine learning to be used by non-ML practitioners who are proficient with data, which is the foundation of ML. To make this a reality, the value of ML is being realized across the enterprise through no-code ML platforms. These platforms enable different personas, for example business analysts, to use ML without writing a single line of code and deliver solutions to business problems in a quick, simple, and intuitive manner. Amazon SageMaker Canvas is a visual point-and-click service that enables business analysts to use ML to solve business problems by generating accurate predictions on their own—without requiring any

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