Abstract: An automatic personalized response generation system and process receives user email containing questions and knowledge base articles through an email receiver integrated to an email engine and stores the user emails in a knowledge database. A gatekeeper module classifies incoming emails using structured criteria. A knowledge module gathers and organizes relevant information from the knowledge database and the gatekeeper module. An orchestrator module then routes the classified emails and relevant information to either a responder module or a human agent. The responder module crafts personalized responses, which are then refined by a modify module according to specific quality criteria. Throughout the personalized response generation process, the gatekeeper module, the knowledge module, the orchestrator module, the responder module, and the modify module utilize specialized prompts to guide an Artificial Intelligence (AI) engine via a prompt generator in performing its designated tasks.

Abstract: The present invention relates to computerized (“smart”) mobile electronic devices and more particularly, to a system and methods of diagnosing and repairing malfunctions in smart mobile electronic devices, including a diagnostic process that utilizes decisions based on Big Data that holds information of multiple devices and offers a “disable components” (i.e., turn-off components) solution in order to overcome the problem without flashing a firmware or doing a factory-reset.

Abstract: A system and associated methodology manages localization data. According to one embodiment of the present invention a primary set of data associated with one or more specific locations is imported and matched to a predefined format. Thereafter external, secondary, data associated with each of the localities listed in the primary data set is collected from a plurality of third party location service providers. With the collected secondary data matched to the same predefined format a comparison is made between the plurality of secondary data sets and the primary data set. Differences between the data sets are identified and the primary data set modified as necessary. Thereafter, normalized data from the modified primary data set is exported to the third party location service providers to enhance consistency and reliable of locational data.

Abstract: In at least one embodiment, a trust rating system and method provide a precise and accurate, structured (yet adaptable and flexible), quantifying way of expressing historical trustworthiness so the user or decision maker can make more informed decisions on the data or information being evaluated.

Abstract: An intersystems communication system and method provides a technical solution to communicate messages between multiple systems by transmitting payload data that is indeterminate from any data in the message. Transmitting data that is indeterminate from any data in the message can be very efficient by, for example, utilizing less bandwidth. In at least one embodiment, the messages include a message identifier (ID), such as a unique integer, that is associated with a specific format specification. The specific format specification includes a payload data structure definition mapped to the message ID. Thus, by linking the message ID to the specific format specification, the indeterminate data can be interpreted.

Abstract: The present invention relates to computerized (“smart”) mobile electronic devices and more particularly, to a system and methods of diagnosing and repairing malfunctions in smart mobile electronic devices, including a diagnostic process that utilizes decisions based on Big Data that holds information of multiple devices and offers a “disable components” (i.e., turn-off components) solution in order to overcome the problem without flashing a firmware or doing a factory-reset.

Abstract: Analytical methods and systems applied to sequential event data are disclosed. An exemplary system and method analyzes datasets containing events in a plurality of journeys. The methods and systems described analyze and quantify the relative importance of events and sequences leading to outcomes where the data is complex and interconnected. In some embodiments, a graphical user interface illustrates the quantification of these datasets. In some embodiments, the graphical user interface maps the journey paths to show the relative importance of each journey path. In some embodiments, the maps of journey paths are interactive, allowing selection of paths of interest for detailed analysis. In some embodiments, the methods and systems calculate paths similar to a journey path of interest. An exemplary method and system also provides detailed recommendations for changing events within a sequence to either increase or decrease the likelihood of achieving a selected outcome.

Abstract: In one embodiment, a method is provided. The method includes receiving forecast information from sales people in a computer. The method further includes receiving comments on specific entries of the forecast information from non-sales people in the computer. The method also includes receiving changes of the forecast information from the non-sales people in the computer. The method additionally includes providing a display of the comments and the changes to the sales people in an interface to the computer.