Abstract: 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.

Abstract: In an approach for optimizing project and team success, prior to a user initiating a project, a processor creates a digital profile. A processor sets up the digital profile with a set of data gathered from one or more project related documents for a set of previous projects of the user. Responsive to the user initiating the project, a processor identifies one or more documents related to the project. A processor analyzes the one or more documents related to the project. A processor predicts an outcome of the project using machine learning, wherein the outcome of the project is a set of measures indicating a success factor, a quality factor, and a risk factor of the project. A processor generates an optimization suggestion, wherein the optimization suggestion is a suggestion to adjust one or more parameters of the project. A processor outputs the optimization suggestion to the user.

Abstract: Artificial intelligence is employed to assess a user's workflow on a task by receiving data regarding a workflow of a user completing a task, and assessing the data to identify attributes of the workflow that is expressed in a series of steps. The steps of the workflow are analyzed to identify areas of improvement. Augmentations may be generated from a plurality of technology fitments matched to the areas for improvement in the steps of the workflow. A user experience template is generated, in which content of the user experience template is selected based upon at least an archetype for which the generating the augmentation from the plurality of technology fitments was performed. The augmentations are formatted in the user experience template and sent to a user device for communicating to the user.

Abstract: An approach for creating avatars of team members on a project team. The approach retrieves data associated with team members of a project team. The approach creates avatars of the team members based on the data. The approach displays the avatars to the team members, requesting permission to from the team members to use the avatars to represent the team members. With permission, the approach creates a plurality of avatars of different dimensions to use on different platforms. The approach displays the avatars during online team meetings as a representation of the respective team member.

Abstract: An approach for predicting team dynamics based on changing circumstances. The approach retrieves profiles associated with a group of first team members of a project team. The approach selects a virtual reality (VR) scenario to interact with the group of first team members. The approach executes the VR scenario based on the profiles. The approach receives VR input from an interacting team member interacting with the VR scenario. The approach predicts responses of the group of first team members to the VR input. The approach analyzes the responses and provides the interacting team member a ranked list of scenario outcomes.

Abstract: 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.

Abstract: 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.

Abstract: A system and method including building propensity inclination dimensions of an affinity cluster, the propensity inclination dimensions maintained at a group profile level of the affinity cluster, identifying next best priority signals based on influencing events to determine a next best priority, applying a predictive algorithm to derive an influencing index, which is used to determine a tolerance level of the affinity cluster, deriving a duration of time of the tolerance level, and determining a critical mass of the affinity cluster required to achieve an objective of an organization.

Abstract: Artificial intelligence is employed to assess a user's workflow on a task by receiving data regarding a workflow of a user completing a task, and assessing the data to identify attributes of the workflow that is expressed in a series of elements. The elements of the workflow are analyzed to identify areas of improvement. Augmentations may be generated from a plurality of technology fitments matched to the areas for improvement in the elements of the workflow. The augmentations are sent to a user device for communicating to the user. The method may further include receiving confirmation of fitment to business practices of persona; and adjusting augmentation responsive to confirmation of fitment.

Abstract: A computer implemented method is provided that includes creating an industry force graph meta model; and establishing a relationship for each maturity dimension to determine most relevant content. The most relevant content is graphed using a chromatic polynomial to map strongest industry trends in an industry force. The method continues with building traversal logic to determine most relevant technologies for the strongest industry trends in the industry force. Most relevant components of an component business model are identified, and linkages between the strongest industry trends in the industry force are made to the most relevant components of the component business model.

Abstract: A computer implemented method is provided that includes creating an industry force graph meta model; and establishing a relationship for each maturity dimension to determine most relevant content. The most relevant content is graphed using a chromatic polynomial to map strongest industry trends in an industry force. The method continues with building traversal logic to determine most relevant technologies for the strongest industry trends in the industry force. Most relevant components of an component business model are identified, and linkages between the strongest industry trends in the industry force are made to the most relevant components of the component business model.

Abstract: A method, system, and computer program product for implementing a digital conversion process is provided. The method includes receiving network data and text data associated with a text presentation being presented via a hardware device of a user. Semantic attributes of the text data are analyzed, and associated concepts and premises of the text data are determined. The network data is analyzed, and the user is associated with a plurality of users associated with the text presentation resulting in the formation of a group of users. A propensity inclination is determined for the group of users with respect to specialized digital dimension and retrieved images are associated with the text data. The retrieved images are presented to the user.