Question

A retail company's data science team already uses a machine learning model to predict which customers are likely to churn based on historical purchase data. The marketing director now wants a new capability: automatically producing original, on-brand promotional email copy for each product launch. Which statement best explains why a generative AI solution—rather than the existing predictive ML approach—is appropriate for this new task?

Accepted Answer

Generative AI creates new content such as text, whereas the predictive model outputs classifications or scores from patterns in existing data.

Answer

Generative AI is always more accurate than predictive ML, so it should replace the churn model as well.

Answer

Predictive ML cannot process text data at all, so any text-related task must use generative AI.

Answer

Generative AI does not require any training data, making it faster to deploy for the marketing use case.