Abstract: A system and method of offering task-specific guidance to users of software. The system and method can intelligently determine which task the user is likely performing and what sequence of steps (data journey) will offer the user the most efficient route in completing the task. In some embodiments, the proposed system collects data representing in-app behavior for a large group of users in order to train a model that will predict what the user's next actions are likely to be. Furthermore, in some cases, current data for a user may include screen captures or other image data that can be compared with stored image data in order to help identify the user's current task.

Abstract: A system and method of offering task-specific guidance to users of software. The system and method can intelligently determine which task the user is likely performing and what sequence of steps (data journey) will offer the user the most efficient route in completing the task. In some embodiments, the proposed system collects data representing in-app behavior for a large group of users in order to train a model that will predict what the user's next actions are likely to be. Furthermore, in some cases, current data for a user may include screen captures or other image data that can be compared with stored image data in order to help identify the user's current task.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for accessing a database comprising multiple datasets. Each dataset includes data derived from a respective application. A machine-learning engine determines an analytical rule using at least one dataset of the multiple datasets. The analytical rule is determined by processing input data obtained from the at least one dataset derived from the respective application. A structured dataset is generated based on the determined analytical rule. The structured dataset is generated in response to using the determined analytical rule to analyze data from each dataset of the multiple datasets derived from the respective application. One or more data sequences that represent information flow of a transaction process are determined based on the structured dataset.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for accessing a database comprising multiple datasets. Each dataset includes data derived from a respective application. A machine-learning engine determines an analytical rule using at least one dataset of the multiple datasets. The analytical rule is determined by processing input data obtained from the at least one dataset derived from the respective application. A structured dataset is generated based on the determined analytical rule. The structured dataset is generated in response to using the determined analytical rule to analyze data from each dataset of the multiple datasets derived from the respective application. One or more data sequences that represent information flow of a transaction process are determined based on the structured dataset.