Pico segmentation is a way of dividing a large group of people or things into smaller, more specific subgroups. In the context of AI, pico segmentation might be used to identify different characteristics or behaviors within a larger dataset, in order to better understand and predict the actions or preferences of different subgroups within the larger group.
For example, Pixis AI systems use pico segmentation to identify different trends or patterns within a large group of customers, in order to more effectively target marketing efforts or make recommendations based on their interests.
