Automated ticket resolution

A non-transitory computer-readable medium storing instructions, the instructions comprising:

• one or more instructions that, when executed by one or more processors of a device, cause the one or more processors to:
• communicate with a server to obtain historical ticket data;
• generate a plurality of data models based on processing the historical ticket data, a different data model, of the plurality of data models, being generated for a different ticket type in the historical ticket data;
• communicate with a client device to obtain ticket data relating to an issue associated with a project;
• classify, using a particular data model of the plurality of data models to apply a natural language processing technique, the ticket data into a first ticket type;
• train the particular data model by receiving an indication as to whether to modify a classification of the ticket data from the first ticket type to a second ticket type;
• modify, based on receiving the indication, the classification of the ticket data from the first ticket type to the second ticket type;
• process, using the particular data model based on training the data model and based on modifying the classification of the ticket data, a subset of the historical ticket data;
• generate, using the particular data model and based on processing the subset of the historical ticket data, a set of recommended resolutions for resolving the issue;
• select, from the set of recommended resolutions, a particular resolution based on one or more values that indicate an effectiveness level of the particular resolution for one or more issues associated with the ticket data;
• perform one or more actions to implement the particular resolution to resolve the issue,
• the one or more actions being based on the issue being internal to the device and including at least one of:
• an automatic generation of additional code directed to resolving the issue,
• an automatic alteration of existing code of the project to produce altered code directed to resolving the issue, or
• an automatic removal of existing code of the project to resolve the issue;
• apply a machine learning technique to one or more of the ticket data or the historical ticket data,
• the machine learning technique being applied to predict another issue;
• generate additional ticket data based on predicting the other issue,
• the additional ticket data being different than the ticket data or the historical ticket data;
• and
• generate, using the particular data model, another set of recommended resolutions for resolving the other issue.

A cloud platform, comprising:

• one or more computing devices to implement:
• an automatic ticket classification module to:
• communicate with a server to obtain historical ticket data,
• generate a plurality of data models based on processing the historical ticket data,
• a different data model, of the plurality of data models, being generated for a different ticket type in the historical ticket data,
• communicate with a client device to obtain ticket data relating to an issue associated with a project, and
• classify the ticket data into a first ticket type using a particular data model of the plurality of data models to apply a natural language processing technique;
• a machine learning module to:
• train the particular data model by receiving an indication as to whether to modify a classification of the ticket data from the first ticket type to a second ticket type,
• modify, based on receiving the indication, the classification of the ticket data from the first ticket type to the second ticket type,
• process, using the particular data model based on training the particular data model and based on modifying the classification of the ticket data, a subset of the historical ticket data,
• apply a machine learning technique to one or more of the ticket data or the historical ticket data,
• the machine learning technique being applied to predict another issue, and
• generate additional ticket data based on predicting the other issue,
• the additional ticket data being different than the ticket data or the historical ticket data;
• a resolution identification module to:
• identify a set of recommended resolutions using the particular data model and based on processing the subset of the historical ticket data, and
• identify, using the particular data model, another set of recommended resolutions for resolving the other issue;
• a resolution selection module to:
• select, from the set of recommended resolutions, a particular resolution, based on one or more values that indicate an effectiveness level of the particular resolution for one or more issues associated with the historical ticket data;
• and
• a ticket resolution module to:
• implement the particular resolution to resolve the issue by at least one of:
• automatically generating additional code directed to resolving the issue,
• automatically altering existing code of the project to produce altered code directed to resolving the issue, or
• automatically removing existing code of the project to resolve the issue.