Generating segments based on propensity scores configured via a templated model builder experience

An apparatus for data processing, comprising:

• a processor;
• memory coupled with the processor;
• and
• instructions stored in the memory and executable by the processor to cause the apparatus to:
• receive, at a user interface associated with a data service that manages a data model of a plurality of entities, a first user input indicating a selection of a first set of entities of the plurality of entities for training an artificial intelligence model, wherein the first set of entities corresponds to one or more users;
• receive, at the user interface, a second user input indicating a selection of a set of outcome conditions associated with the first set of entities, wherein the second user input is different from the first user input, and wherein the set of outcome conditions define an output of the artificial intelligence model based at least in part on a set of input data associated with the first set of entities;
• generate the artificial intelligence model based at least in part on the set of outcome conditions and the set of input data, wherein the artificial intelligence model is generated to indicate that the set of input data satisfies the set of outcome conditions;
• generate, based at least in part on execution of the artificial intelligence model, a set of prediction metrics for a second set of entities, the set of prediction metrics corresponding to the set of outcome conditions;
• store an indication of the generated set of prediction metrics in association with the second set of entities in the data model;
• and
• generate, using the data service and based at least in part on the indication of the generated set of prediction metrics, a segment of entities of the second set of entities.

A non-transitory computer-readable medium storing code for data processing, the code comprising instructions executable by a processor to:

• receive, at a user interface associated with a data service that manages a data model of a plurality of entities, a first user input indicating a selection of a first set of entities of the plurality of entities for training an artificial intelligence model, wherein the first set of entities corresponds to one or more users;
• receive, at the user interface, a second user input indicating a selection of a set of outcome conditions associated with the first set of entities, the second user input being different from the first user input, wherein the set of outcome conditions define an output of the artificial intelligence model based at least in part on a set of input data associated with the first set of entities;
• generate the artificial intelligence model based at least in part on the set of outcome conditions and the set of input data, wherein the artificial intelligence model is generated to indicate that the set of input data satisfies the set of outcome conditions;
• generate, based at least in part on execution of the artificial intelligence model, a set of prediction metrics for a second set of entities, the set of prediction metrics corresponding to the set of outcome conditions;
• store an indication of the generated set of prediction metrics in association with the second set of entities in the data model;
• and
• generate, used the data service and based at least in part on the indication of the generated set of prediction metrics, a segment of entities of the second set of entities.