The present invention relates to a presence availability discovery device comprising a series of computing devices, coupled via a network connector, to match connected worker(s) to a multimodal dialog initiated by an end user, comprising: a dialog identifier device, a context identifier device, a relevance classifier device, a connected worker identifier device, a connected worker router, a memory, and a controller. As a novel aspect, the connected worker identifier device parses a relevance discovery report created by the relevance classifier device to create a list of connected workers most responsive to the multimodal dialog and the end user, by correlating weighted intents against a list of connected workers, whereby the list of the one or more connected workers further comprises each of the one or more connected workers listed having an associated identifier, at least one availability marker, at least one skill, and at least one skill ranking.

Disclosed are system and methods for digitally capturing, labeling, and analyzing data representing shared experiences between a service provider and a customer. The shared experience data is used to identify, test, and implement value-added improvements, enhancements, and augmentations to the shared experience and to monitor and ensure the quality of customer service. The improvements can be implemented as customer service process modifications, precision learning and targeted coaching for agents rendering customer service, process compliance monitoring, and as knowledge curation for a knowledge bot software application that facilitates automation of tasks and provides a natural language interface for accessing historical knowledge bases and solutions.

A system and a method for managing human resources to provide employees to clients having job openings associated with projects use a desktop application and a mobile application to communicate with the clients, the employees and field managers. The clients and the field managers use the desktop application to enter into the system information related to projects, available jobs and candidate employees and to match employees with the jobs. The employees and the field managers use the mobile application to enter into the system employee profile information including skill sets, employee available dates and interest in available jobs.

Event organizers must assign volunteers, staff, sub-contractors etc. over multiple roles, multiple shifts, and multiple locations. Assigning individuals, whether a few to hundreds or thousands, requires the user to filter through registration information and align this to the roles/shifts etc. This is further complicated when the registration forms used to acquire user data are custom questionnaires. Embodiments of the invention automatically generates custom filters for subsequently filtering of the entries made by registrants where the user generates custom questions. Further, embodiments of the invention allow the importation of data from other sources wherein if it includes fields not supported by the database into which the data is being imported the system automatically adds new custom fields to the database as well as supporting the establishment of new questionnaires, new custom filters, and triggering registration updates from existing registrants to acquire new data for the new custom fields.

The embodiments of the present disclosure provide a management method and a management Internet of Things system for a maintenance personnel of smart gas. The management method is implemented based on a smart gas safety management platform of a management Internet of Things system for maintenance personnel of smart gas. The method may include the following operations. Maintenance personnel information of at least one maintenance personnel may be obtained. The maintenance personnel information may include first positioning information of each of the at least one maintenance personnel. Second positioning information corresponding to at least one maintenance task may be obtained. A candidate maintenance task may be determined based on the first positioning information and the second positioning information. The candidate maintenance task may be sent to a user terminal of the maintenance personnel.

A method, system and/or computer usable program product for automatically managing the conveying of messages among multiple communication channels including (i) receiving, from a first computing system, an on-line message addressed to a user, (ii) automatically categorizing the message among a predetermined set of message categories stored in memory, (iii) identifying a set of on-line message channels preselected by the addressee user for receiving messages for each of the predetermined set of message categories, (iv) identifying a set of performance metrics stored in memory for optimizing message channel selection, (v) utilizing the performance metrics to automatically select an optimum message channel from the preselected message channels for sending the categorized message to a second computing system of the addressee user, (vi) automatically formatting the categorized message for the optimum message channel, and (vii) sending the formatted message on-line to the second computing system of the addressee user across the optimum message channel.

A system and method for managing virtual queues. A cloud-based queue service manages a plurality of queues hosted by one or more entities. The queue service is in constant communication with the entities providing queue management, queue analysis, and queue recommendations. The queue service is likewise in direct communication with queued persons. Sending periodic updates while also motivating and incentivizing punctuality and minimizing wait times based on predictive analysis. The predictive analysis uses “Big Data” and other available data resources, for which the predictions assist in the balancing of persons across multiple queues for the same event or multiple persons across a sequence of queues for sequential events. Furthermore, the system utilizes a virtual agent engine and various predictive models to schedule and execute callbacks between a person in a virtual queue and a virtual agent based on predictive model results.

Generating a model for evaluating organizational skills to determine cost of entering a new market includes training a machine learning model to define business capabilities, processes and required skills of an organization based on a current business strategy, training the machine learning model to define a plurality of skill classes of the required skills of the organization using the cognitive computing processor device, training the machine learning model to define skill profiles of the available talent of the organization based on the plurality of skill classes, determining skill gaps of the available talent of the organization by analyzing the required skills of the organization and the skill profiles, assessing skills required for a new business strategy for the organization, and determining a cost of the organization executing the new business strategy based on the skill profiles, the at least one skill gap and the new business strategy skills.

The application describes matching individuals with entities. More specifically, the present application describes a process whereby an entity may find qualified individuals for various employment positions offered by the entity. Likewise, examples of the present application enable an individual to specify skills, experience and/or qualifications offered by the individual and subsequently provide this information to various entities.

An approach for optimizing the selection of team members on a project team. The approach retrieves data associated with prospective members of a project team. The approach generates team member personality scores based on a machine learning model. The approach generates a team compatibility score based on a portion of the prospective team member personality scores. The approach calculates a predicted project success score based on the team compatibility score. The approach assigns prospective team members to the team based on maximizing the predicted project success score.