Abstract: Techniques are provided for generating secure, alternate communication routes. In one embodiment, the techniques involve receiving user consent and delivery data, wherein the delivery data includes information for contacting a device associated with a user, receiving an authentication failure indicator corresponding to a primary communication route to reach the user to authenticate an online transaction, initiating a scrubbing process to verify that the user consent indicates permission from a user to transfer an authentication credential via an alternate communication route, identifying a network state, generating the alternate communication route to the user based on the network state, the scrubbing process, and the delivery data, and transferring the authentication credential via the alternate communication route.

Abstract: A method, system and computer program product for a heuristic determination of in-process damage class control to manage expected output product category. The heuristic technique determines the predicted damages and their ranges while keeping the initial expected defects, the respective classes and range of defect and mitigation. The method dynamically computes a damage mitigation range of operation while being within the overall constraints and completes the computation in smaller number of loops being run at the edge computers so that the manufacturing equipment can operate at a higher velocity for higher quality of the output. The method includes a step of reducing error of the co-efficient and damage counts. An Internet of Things (IoT) based robot is used to mitigate the damages in the manufacturing steps to ensure that the output class of the product remains what was expected at the start despite damages and mitigation measures.

Abstract: A learning model is created using a computer which includes receiving input from a user. The learning model includes comparing the input to the knowledge area in a knowledge database to assess a level of proficiency on topics within the knowledge area. The learning model includes determining topics of knowledge within the knowledge area where a user currently meets a proficiency threshold for one or more topics. A work topic is identified within the knowledge area where the user does not meet the proficiency threshold. Study material is presented to the user for the work topic of the knowledge area using an interactive mechanism. Feedback is received regarding the study material for the work topic from the interactive mechanism from the user. The learning model includes evaluating the feedback from the user to determine a score which indicates when the user meets a proficiency threshold for the work topic.

Abstract: A method, system, and computer program product for consent and content template mapping are provided. The method identifies a content type within a content template. A set of content categories is identified that is associated with the content type. One or more consent templates are identified as associated with one or more of the content type and the set of content categories. The content template is mapped to the one or more consent templates to generate a consent template graph. The method provides a multimedia message to a user based on a consent template associated with the user and the content template.

Abstract: Described are techniques for an intelligent code editor that intelligently provides software development suggestions based on the coding techniques of a software developer. The techniques include analyzing source code samples associated with a software developer to determine coding techniques utilized by the software developer. The techniques further include monitoring code editing input received by an intelligent code editor to identify a software design pattern, where the code editing input is associated with the software developer. The techniques further include generating a suggested software design pattern that is based on the software design pattern identified in the code editing input and the coding techniques of the software developer, and displaying the suggested software design pattern in the intelligent code editor to allow the suggested software design pattern to be incorporated into the code editing input using the intelligent code editor.

Abstract: Systems, methods and computer program products leveraging digital twin modeling and cognitive computing to predict lubrication replacement for a physical asset. Predictions of lubrication replacement consider one or more various parameters such as operating conditions, usage parameters, the surrounding environment, overall health and state of repair of the physical asset, lubricant properties and historically collected data from the physical asset (or similarly comparable assets). Timing for optimal lubrication replacement is identified using the collected data of the physical asset, along with historical data, to simulate changes in a state of lubricants and lubricated parts within a physical asset using digital twin modeling to make predictions how one or more actions upon the physical asset impact the health, stability and/or longevity of the lubricant's lifespan.

Abstract: In an approach to improve converting conversation to user stories, embodiments capture keywords from a captured discussion, and identify the probability of the keywords being an object attribute or action behavior. Further, responsive to identifying, based on the probability, that the keywords are the object attribute or the action behavior, embodiments determine that the object attribute or the action behavior are not new to a first user story. Additionally, embodiments determine that the attribute or the action behavior are associated with an existing object in a first user story, and update the first user story with the attribute or the action behavior.

Abstract: According to one embodiment, a method, computer system, and computer program product for coordinating professional language is provided. The present invention may include running, by a processor, at least one professional parsing algorithm and at least one non-professional parsing algorithm on an ingested writing; assigning, by at least one of the professional parsing algorithms and at least one of the non-professional parsing algorithms, one or more initial scores to the ingested writing; determining, by a machine learning model, one or more differences between the ingested writing and stored professional data by comparing the one or more initial scores of the ingested writing to the stored professional data; determining a variation percentage score of the ingested writing based on the differences; and transmitting at least one suggested modification of the ingested writing based on the variation percentage score to a transmitting device.

Abstract: A method, computer program product, and computer system for controlling access to presentation content to present to multiple participants in a virtual meeting. The presentation content is received and includes restricted information. First participants who will be provided access to the presentation content during the virtual meeting, and second participants will be denied access to respective portions of the presentation content containing the restricted information during the virtual meeting, are identified. Entry by the first participants to a safe zone within the virtual meeting is provided. The presentation content is presented in the safe zone to the first participants during the virtual meeting. The restricted information is denied to the second participants during the virtual meeting. The first participants in the safe zone have full access to all content presented in the virtual meeting, outside the safe zone and not presented in any other safe zone within the virtual meeting.

Abstract: In an approach for detecting when a resource gap has opened in a project and deciding how to best utilize the project's resources to fill the resource gap, a processor monitors a degree of progress of one or more projects on a project dashboard. Responsive to detecting a project with a resource gap, a processor obtains a set of data regarding the project. A processor determines a productivity trajectory. Responsive to determining a team member will not meet the productivity trajectory, a processor determines one or more alternative combinations of team members who can meet the productivity trajectory. A processor measures a degree of amplification required to achieve the productivity trajectory by the one or more alternative combinations of team members. A processor identifies one or more resources available to complete a backlog of one or more tasks of the first project. A processor determines an optimum variation.

Abstract: A method, computer system, and a computer program product for managing digital currency is provided. The present invention may include initializing a digital wallet. The present invention may include receiving one or more digital currencies. The present invention may include performing one or more transactions using the one or more digital currencies, wherein each of the one or more transactions has a hash value recorded on a local ledger maintained on the digital wallet. The present invention may include broadcasting the local ledger to a shared ledger maintained by a fund source. The present invention may include synchronizing the digital wallet with the found source by releasing a value held in suspense based on a total value of the one or more digital currencies remaining on the digital wallet.

Abstract: Optimization of smart notifications within an organization can lead to increase productivity and reduction in missed deadlines and human work hours. An approach for to dynamic scheduling of smart notifications may be presented herein. The approach may include obtaining historical decision event data for an organization. Historical decision data may include details regarding the importance of the historical decision event to the organization, individuals within the organization associated with the decision event, and benchmarks of the historical decision event. The approach may include analyzing a future decision event based on a decision event model trained with the historical decision event data. The approach may include identifying one or more priority factors associated with the future decision event data based on the analysis of the decision event priority model. A smart notification may be scheduled for the decision event, based on the identified priority factors.

Abstract: Promotional offers are offered to telecom subscribers in roaming network areas by recording promotional preferences of subscribers for receiving promotional calls, forwarding subscriber information from a local network telecom service provider to a roaming network service provider, and measuring with the roaming network telecom service provider the subscribers that are present within a roaming network geography. The subscribers can then be ranked by their duration within the roaming network geography, and promotional pools can be generated for the subscribers within the roaming network based on their preferences. Promotional offers can then be matched to the subscribers in the promotional pools based using the ranking of subscribers and the promotional preferences.

Abstract: A computer-implemented method for virtual agent conversation training is disclosed. The computer-implemented method includes determining a current state of a first stage of a conversation between a pair of virtual agents. The computer-implemented method further includes determining a pivot distance between the current state of the first stage of the conversation and a subsequent, second stage of the conversation. The computer-implemented method further includes responsive to determining that the pivot distance between the current state of the first stage of the conversation and the subsequent, second stage of the conversation is below a predetermined threshold, determining an angle of dislocation with respect to the pivot distance. The computer-implemented method further includes terminating the conversation based, at least in part, on determining that the angle of dislocation is above a predetermined threshold.

Abstract: A method, computer system, and a computer program product for message directing are provided. A first computer receives a registration of members organized into a first closed group hierarchy. The first computer receives a notification of a sensed change of an element in an environment of the first closed group hierarchy. The first computer receives a first message from an external device. The first message relates to the changed element. The first computer selects a first member of the first closed group hierarchy for receipt of the first message. The selecting is based on message routing guidelines established for the first closed group hierarchy. In response to receiving the notification of the sensed change, the first computer transmits the first message to the selected first member of the first closed group hierarchy.

Abstract: Embodiments relate to a system, computer program product, and method for smart storage units using Internet of things (IoT) technology, and, more specifically, for substantially end-to-end autonomous management of consumable commodities. The system includes a robot including one or more external lighting devices and a storage unit comprising a cap and a container portion, the cap is coupled to the container portion and is communicatively coupled to the robot. The cap includes one or more external energy collection devices configured to receive light energy from the one or more external lighting devices. The cap also includes a first processing device electrically coupled to the one or more external energy collection devices. The first processing device is configured to collect data associated with an inventory of the contents of the container portion and transmit the inventory data to the robot.

Abstract: Origin information for promotional calls is provided by recording caller numbers for parties making the promotional calls; and receiving subscriber numbers for receiving the promotional calls. The subscribers numbers are stored in a database that also includes approved content for the promotional calls to be received by the subscriber. Caller numbers and approved content are matched for the subscriber with a call scrubber including a disturbed ledger. The distributed ledger recording a caller designation attached to the caller numbers indicative of a type for the promotional call. A promotional call is received by the subscriber. The caller identification for the subscriber indicates both the caller numbers and the caller designation that is indicative of the type for the promotional call.

Abstract: A method, computer system, and a computer program product for object modeling is provided. The present invention may include generating a temporary modeling structure based on at least a digital model and one or more printing preferences. The present invention may include sending printing instructions to a 3D printer based on the temporary modeling structure. The present invention may include receiving feedback from a sensory based system, the sensory based system monitoring a printing chamber of the 3D printer. The present invention may include updating the printing instructions based on an analysis of the feedback of the feedback received from the sensory based system.

Abstract: The classifier of an artificial intelligence model is trained by mapping output values in a final run of a training phase, measuring dense data portion and sparse data portion of a data plot produced by the training phase by identifying outputs near edges of the data plot and extracting the curve patterns as linear functions in the dense areas of the output; obtaining a fractal function base set of patterns from the linear functions provided by the dense areas of the output; applying the fractal function base set of patterns from the dense areas of the output to the sparse data portion of the data plot; and training the artificial intelligence model using the data plot including the dense areas of the output and the sparse data portion of the data plot that has been fit to the data curve using the fractal function base set of patterns.

Abstract: A battery is subjected to ultrasound waves, and resulting re-emitted ultrasound waves are recorded. Based upon how the waves are distorted or reflected, a state of pores within the battery can be evaluated. This evaluation can be used to verify a rating of the battery included in received data regarding the battery.