Embodiments for intelligent career planning actions in a computing environment by a processor. A career planning model may be created for a user according to a career goal, a user profile, and one or more alternative user profiles and historical data of alternative users having achieved the career goal. A career plan may be generated for the user according to the career planning model.

A method of developing an incubator program includes establishing an accelerator organization having tier 1 members and tier 2 members. A suite of EDA tools is licensed or purchased by the organization. The tier 1 members are charged a first fee. The tier 2 members are charged a second smaller fee. The tier 2 members obtain full access to the EDA tools. Tier 2 intellectual property rights are developed through the use of the EDA tools by the tier 2 members. The tier 1 members are provided a first right to offer to acquire or license the tier 2 intellectual property rights from the tier 2 members for a predetermined period of time. The tier 2 members are required not offer to assign or license tier 2 intellectual property to anyone other than a tier 1 member prior to a tier 1 member's exercise of its first right to offer.

This invention is a system for managing continuing education that is usable by physicians and other licensed professionals, providers, and reviewers.

An apparatus and method for analyzing strengths is disclosed. The apparatus includes a processor and a memory communicatively connected to the processor. The processor received a skills data set related to a user. The skills data set is classified into strengths using a classifier. An action path is generated using the strengths from the skills data set. The action path includes proposed tasks.

An apparatus for task identification is disclosed. The apparatus includes at least a processor and a memory communicatively connected to the at least a processor. The memory instructs the processor to receive a skill datum related to a user, wherein skill datum comprises a datum describing a current skill of the user. The memory additionally instructs the processor to generate a skill target as a function of the skill datum. The memory then instructs the processor to generate a pecuniary target of the user as a function of the skill target. The processor then identifies a posting as a function of the skill target. the pecuniary target using a posting machine learning model. The posting machine learning model comprises training the posting machine learning model using a posting training data. The memory then instructs the processor to display the posting using a graphical user interface.

A system, method, and computer-readable medium are disclosed for performing an automated sales training activity operation, comprising: performing an assessment operation on an individual sales maker, the assessment operation ensuring the individual sales maker takes only the training needed by the individual sales maker; generating a unique personalized training plan for the individual sales maker; delivering training to the individual sales maker based upon the unique personalized training plan; certifying the individual sales maker based upon completion of the training, the certifying indicating a knowledge and proficiency level of the individual sales maker, the certifying also indicating progress of the individual sales maker towards completion of the unique personalized training plan and, presenting information regarding the certifying via a sales training activity user interface.

There is provided an information processing apparatus including a processor that generates a plurality of pieces of authority information for obtaining user information classified into a plurality of categories, in which the processor generates the authority information to correspond to each of a plurality of the categories.

A computer implemented method to author and access multimedia training content for closed loop marketing content comprises authoring multimedia training content associated with a closed loop marketing content in a second set of user devices, storing the created multimedia training content associated with the closed loop marketing content as a network-based resource, opening the closed loop marketing content within a closed loop marketing platform in a first set of user devices, accessing a user interface by the first set of users for loading associated multimedia training content, loading associated multimedia training content as a foreground overlay on top of the closed loop marketing content and rendering and playing the multimedia training content.

The System for Career Technical Education includes an education center that is interconnected through a server. Multiple user interface apparatuses communicate with the server through a data communication network. A computer database is connected to the server that stores gathered data from multiple users. A Learn phase module in which the education center presents online videos to the multiple user interface apparatuses via the data communication network to teach skills to the multiple users. An Apply phase module in which the education center enables the multiple users to apply the skills. A Create phase module in which the education center enables the multiple users to use the taught-and-applied skills to create a virtual reality experience within the server as proof of the user's mastery of the taught-and-applied skills. A certifying agency system connected to the server receives the proof of the user's mastery of the skills from the education center.

A method of assisting a person, entity, or user in achieving a target, which includes a new position, status, certification, or identifiable goal. The method includes three independent functions, wherein an initial common operations, attribute and training presentation function, and alternative target presentation function are performed. The invention includes processes that generate a single value assessment score of a user, inform the user of attributes associated with the target, provide training programs related to important attributes of the target, and provide the user with suggestions of similar targets based on the attributes and response levels of the user.