A system for connecting a user to an employment resource tailored to the user includes: a computational device configured to assess the user, using an assessment questionnaire, regarding one or more of an interest, a hard skill, a soft skill, a job-specific skill, an occupational personality trait, training, education, experience, and aptitude for a job. A method for connecting a user to an employment resource tailored to the user includes: assessing, by a computational device, using an assessment questionnaire, the user regarding one or more of an interest, a hard skill, a soft skill, a job-specific skill, an occupational personality trait, training, education, experience, and aptitude for a job; and presenting, by the computational device, the assessment to one or more of the user and a prospective employer of the user.

A system and method for managing a customer's experience with a contact center that takes available data about the customer, the agents of the contact center, and the organization represented by the contact center, for identifying opportunities for additional conversations/interactions with the customer and engaging in those additional conversations/interactions at a time and with a resource predicted to maximize outcomes for the organization. A processor is configured to identify express and/or implied intents for an interaction between the customer and the contact center. A business goal related to the express and/or implied intents is also identified for determining a current performance of the contact center and for identifying any performance gaps. Contact center targets are identified based on their performance in handling the express and/or implied intents, and the identified performance gaps. An available one of the identified targets is then selected for routing the interaction to the target.

An online tool, including a technology application that connects workers with customers that have immediate service needs. This tool provides immediate solutions to customers in need of a service and an economic opportunity to workers around the world. This tool seeks to connect expertise with opportunity at massive scale.

A human resource development support system calculates, for each agent, a profitability indicator value that is a value of an indicator of profitability of the agent on the basis of order histories for customers regarding industrial machinery at the agent. Then, the human resource development support system generates, for each agent, reference information capable of identifying a grade of service personnel for which human resource development is to be strengthened, on the basis of the calculated profitability indicator value and on the basis of constitution information indicating the numbers of service personnel belonging to the agent for individual grades.

A computer-implemented system and method for providing contextually relevant task recommendations to qualified users is provided. Sensor data is collected for a user. The user's location is determined and subsequently, an activity of the user is determined based on the sensor data and the location. Two or more recommendable items are scored based on the activity and one or more of the recommendable items with the highest scores are selected. Finally, one or more recipients qualified to perform each of the recommendable items are identified.

Disclosed apparatus, systems and methods may provide a virtual marketplace. A method performed by a manager of the marketplace includes establishing a profile on a profiler for a first device that participates in a marketplace, receiving a first message that a loan request for a resource from a computing device operated by a second entity, responsive to the loan request, identifying the first entity as a candidate for providing the resource based on the profile of the first entity when the first entity has no prior history of loaning the resource, and enabling the second entity to negotiate with the first entity for a loan of the resource. The profile may characterize one or more business activities of the first entity based on one or more transactions in the marketplace.

An amount of time needed to fill a job requirement is forecasted. By executing a forecasting algorithm, a numerosity of resumes matching the job requirement during the amount of time is forecasted. Using the numerosity and the amount of time, a risk value is computed corresponding to the job requirement, the risk value being indicative of a probability that the job requirement will go unfulfilled in the amount of time. From a base tuple corresponding to the job requirement, a second tuple is constructed, the second tuple having a distance from the base tuple. In real-time a second risk value is computed corresponding to the second tuple. When the second risk value is less than the risk value, data of the second tuple is presented as a risk minimization option for the job requirement.

A system and a method for connecting a tutor with a student in real time. Initially, the system receives a student profile. Further, the system receives a question from the student. Furthermore, the system synthesizes the question based on a set of predefined machine learning model. Subsequently, the system determines a cohort of the students from the set of the cohort of the students. The cohort of the students is determined based on the one or more parameters related to the question. Further, the system identifies a tutor assigned to the cohort of the students. Subsequently, the system notifies the tutor in real time. Further, the system receives an acknowledgement from the tutor within a predefined time. Finally, the system connects the tutor with the student in real time when the acknowledgement is the positive acknowledgement.

In some embodiments, a method can include receiving a set of job descriptions and a set of candidate profiles. Each job description is associated with a first subset of candidate profiles from the set of candidate profiles. The method can further include executing a model to identify, from the first subset of candidate profiles, a second subset of candidate profiles that satisfy a fit metric and a third subset of candidate profiles that does not satisfy the fit metric. The method can further include calculating a bias metric based on a true positive value, a false positive value, a true negative value, and a false negative value that were calculated based on auditing the second subset of candidate profiles and the third subset of candidate profiles. The method can further include updating the set of job descriptions based on the bias metric.

An apparatus for matching video records with postings using audiovisual data processing is provided. Apparatus may include at least a processor and a memory communicatively connected to the processor. The memory may contain instructions configuring the at least a processor to receive a posting including a plurality of criteria, receive a video record, extract a plurality of textual elements from the video record, identify a plurality of credentials from the video record, generate a compatibility score for the video record based on the plurality of criteria and the plurality of credentials, and match the video record with the posting based on the compatibility score.