A typical use case for AutoAO is to train a model that can predict how customers might respond to a sales incentive reading.
The model pipelines creation is an iterative process. The AutoAI will analyze the datasets and discover and optimize the data transformations, algorithms, and parameters to align withe the problem.
“Automated Artificial Intelligence, or AutoAI, is a variation of the automated machine learning, or AutoML.”
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The model is first trained with actual data on how customers responded to the promotion. Presented with new data, the model can provide a prediction of how a new customer might respond, with a confidence score for the prediction.