Exploring SageMaker Canvas

Building Machine Learning models takes knowledge, experience, and a lot of time. Sometimes different persona such as Business Analysts or other technocrats who do not have experience with ML might have a ML use-case that they may want to address, but lack the expertise to do so. Even ML engineers and Data Scientists who have ML experience may want a model built quickly. This brings us to the domain of AutoML. Nowadays we're seeing a plethora of AutoML solutions from open source APIs to individual services/platforms geared for automating the ML space.