Methods and apparatus to manage tickets

At least one non-transitory computer-readable medium comprising instructions, which when executed, cause at least one processor to at least:

• apply a machine learning model to files associated with previous tickets based on read data corresponding to open tickets to determine probabilities of relationships between the files and the open tickets;
• identify at least one of a grouping or a dependency between the open tickets based on the determined probabilities;
• and
• store data associated with the at least one of the grouping or the dependency.

A method comprising:

• applying, by executing an instruction with at least one processor, a machine learning model to files associated with previous tickets based on read data corresponding to open tickets to determine probabilities of relationships between the files and the open tickets;
• identifying, by executing an instruction with the at least one processor, at least one of a grouping or a dependency between the open tickets based on the determined probabilities;
• and
• storing, by executing an instruction with the at least one processor, data associated with the at least one of the grouping or the dependency.