A method, computer system, and computer program product are provided for managing reports. A subset of data fields is identified for inclusion in a new report. An intent of the new report is determined based on the subset of data fields. The intent is determined using a set of machine learning models trained from a set of existing reports and a taxonomy of human capital management (HCM) information. Based on the intent determined by the artificial intelligence system, a set of additional fields is predicted for the new report. The set of the additional fields is displayed in a graphical user interface on a display system.

Techniques described herein relate to executing and monitoring physical simulations within a digital credential platform. Physical simulation evaluation systems may be implemented including sensor-based monitoring systems, simulation output systems, and/or simulation environment control systems. Particular types of digital credential simulations may be determined and executed within a physical environment, during which a plurality of sensors may be used to monitor the physical actions of a credential receiver during physical simulation. The physical action data may be analyzed and compared to digital credential requirements to determine one or more digital credentials to be generated and issued to the credential receiver.

Systems, methods, and graphical user interfaces for managing upskilling content are provided. An upskilling system ingests information regarding learners and regarding roles, including information regarding current skills (and skill levels) for individual learners and target skills (and skill levels) for roles. Skill gaps for learners are then identified based on the difference between current skills and target skills for a learner's role. The system selects upskilling content based on skill information associated with various pieces of upskilling content, wherein the selected content is selected such that the learner may reduce or eliminate a skill gap by consuming the selected content. The system associates upskilling content with role profiles for roles and/or with user profiles for learners. The system provides access to upskilling content, via a graphical user interface, for learners, and monitors consumption of upskilling content by learners.

Systems and methods provide micro-credential accreditation. The systems and methods analyze, using one or more prediction models, received text submissions received from applicants via interaction with an applicant device. The prediction model(s) fit one or more micro-credentials to the received text submission, which may collectively or independently qualify the applicant for one or more accreditation credits. By processing the received text submission, the systems and methods allow for consistent and standard output of micro-credentials by the prediction model(s). Furthermore, the systems and methods provide for monitoring the prediction model output(s) to ensure ethical fairness across varying demographic groups of applicants.

A system and method are presented. User metadata defining a set of activities undertaken by a user are received by a processor. The processor determines, based on the set of activities, a skill history for the user. The skill history identifies a first plurality of skills associated with the user. The processor determines a preferred career associated with the user, determines, for the preferred career and by accessing a career skill repository, a second plurality of skills associated with the preferred career, determines a missing skill by comparing the first plurality of skills associated with the user to the second plurality of skills associated with the preferred career to identify the missing skill that is in the second plurality of skills and not in the first plurality of skills and outputs a user interface identifying the missing skill.

Employers or recruiters populate an online database with job postings. The concepts that job applicants need to have learned to be successful applicants for a job are stated or inferred from the job posting and optionally resumes of others who have held that job. A student's own learning activities are logged by an online education platform. From a comparison between the student's completed learning units and a job posting's required learning units, a personalized learning unit gap can be identified for a student. The online education platform can then recommend how the student can fill the gap by undertaking the study of learning units on the education platform.

Aspects of the disclosure relate to dynamic cybersecurity event detection and training functions. A computing platform may monitor a plurality of user devices to detect a cybersecurity training triggering event. In response to the detection, one or more cybersecurity training session prompts may be generated and transmitted to one or more user devices. User input providing a response to the cybersecurity training session prompt may be evaluated for accuracy and scored for the cybersecurity training session. In some examples, an overall cybersecurity score for a user may be maintained and modified based on the score for the cybersecurity training session. One or more modifications may be identified and executed based on the scores generated.

Producing media content such as films, television shows, commercials, and other formats requires aggregating a large number of resources before, during, and after filming. A method of production scheduling that directly connects to real-time accessible marketplace resources (labor, equipment, services) to help producers find and hire the equipment, creative services, and human capital needed to produce a film or other audiovisual media is disclosed. This method helps producers schedule and book the resources they need to produce content. The resources are tied to a smart timeline that synchronizes production schedule changes against available resources. The method also alerts suppliers and producers of any changes to the production timeline.

A system that accelerates learning retention and behavior change provides users with automated actionable prompts targeted to specific behavioral growth areas that are concurrently matched to the topic of a scheduled meeting in a calendaring system. Users receive various forms of feedback from selected meeting participants and other agents, such as a video recording of the meeting. The system generates a metric control based on the execution of the actionable prompt. A closed loop system is formed by applying the feedback, agent input, scoring, and historical usage from the user and other users of the system as inputs to the system for adaptive learning.

Systems and methods for digital freight forwarding, logistics, and shipping management and operation by a plurality of users. Each user is associated with a computing device. The freight forwarding and shipping systems include at least a database, a processor, a server, a user interface, and a software application. The user interface is configured to allow the plurality of users to manage and operate freight forwarding, logistics, shipping, and cargo parameters to provide more efficient freight forwarding and shipping operation. The software application is configured to, when executed by a computer processor, deliver information pertaining to the one or more freight forwarding, logistics, shipping, and cargo characteristics to the user interface, enable internal communications, and track and trace shipments.