Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to identify non-traditional asset-bundles for purchasing groups using social media. An example method includes identifying an asset-bundle in a social media message and generating a profile for a user associated with the social media message. The example method also includes identifying a plurality of social media messages posted by cohorts of the user based on the generated profile and classifying the asset-bundle based on occurrences of the asset-bundle in the plurality of social media messages.

Abstract: A system and method for outage prediction for electrical distribution utilities using high-resolution weather forecasts, geographic data (e.g., land use and vegetation around overhead-lines) and utility infrastructure data (e.g., transformer fuses, etc.) to predict distributed outage occurrences (e.g., number of outages over a 2-km gridded map) in advance of a storm.

Abstract: A method of project management is provided. The method comprises receiving identity of a number of customers requiring data migration and receiving a target completion date for data migration for each customer. A number of data migration implementations are identified for all customers. A number of tasks required for each implementation is calculated, as is a required time for completion of each task. A number of people are then identified from a candidate pool to assign to complete the implementations. An estimated completion date is calculated for data migrations for each customer according to a total required time for all implementations and the number of people assigned to complete the implementations. The target completion date and estimated completion date for each customer are displayed in a user interface.

Abstract: A time-management planning method, system, and computer program product, includes determining at least one of a cognitive state and a contextual state of a user, compiling a specification of a cognitive goal associated with accomplishing a scheduled task for a period of time, and performing a planning action, via a time management software platform, to adjust the scheduled task based on the specification of the cognitive goal and the at least one of the cognitive state and the contextual state of the user.

Abstract: The techniques describe a tool that finds people to help answer a question that arises while a user is consuming content of a file. As the user consumes the content, the techniques identify a signal that indicates an issue (e.g., a question). The signal can be added or somehow inserted into the underlying content of the file based on user input. The techniques determine a portion of the content associated with the signal. The portion of the content, along with any other information provided via the user input, is analyzed to determine a context of the issue. For example, natural language processing techniques can parse text or speech to understand the subject matter. The techniques then access a resolution resource (e.g., a professional network) to identify people that are likely capable of providing assistance, and the people are suggested to the user.

Abstract: An article type adjustment approximation value for each physical article type of a plurality of physical article types of limited quantities is predetermined. A determination is made to assign to a selected client among a set of clients, a set of physical article types among the plurality of physical article types. A group of eligible physical article types for the selected client among the plurality of physical article types is identified. Using one or more machine learning prediction models, a desirability prediction value for each physical article type in the group of eligible physical article types is determined. The desirability prediction values are adjusted using the corresponding predetermined article type adjustment approximation value and a corresponding predetermined client adjustment approximation value to determine corresponding adjusted prediction values. The corresponding adjusted prediction values are used to determine the set of physical article types to be assigned to the selected client.

Abstract: New client acquisition insights and forecasting are provided. A system, method, and computer readable storage device analyze historical data for identifying various client segments based on various combinations of similar attributes; determine cumulative marginal values (CMVs) associated with provisioning clients in each client segment, wherein the CMVs indicate whether provisioning a client within each client segment positively or negatively affects the system; analyze each client segment behavior for learning insights associated with clients in the client segment and effects on the system; and forecast CMVs for a selected client segment based on the learned insights for the selected client segment. In various implementations, a dashboard user interface comprising a data visualization of the forecasted CMVs is generated for display.

Abstract: There is provided a method for providing pricing information about a potential migration of a network computing task. The method includes the step of providing a provider availability set, identifying a price qualified set for each cloud service provider, and displaying the information about each cloud service provider and its pricing via a user interface. The price qualified set includes each cloud service provider: (a) whose price for performing the task complies with a price acceptability criteria or (b) that has a respective price proposal associated therewith reflecting a price for engaging the cloud service provider to perform the task in lieu of the task being performed by the network.

Abstract: Embodiments for cognitively identifying a propensity for obtaining white space target entities by a processor. Similarities between one or more potential target entities and current entities may be compared according to structured data and unstructured data. A propensity to engage in a transaction agreement may be determined for the one or more potential target entities according to the similarities and historical transaction agreements.

Abstract: A meeting assignment conflict, between two meetings, a, is detected, because a meeting organizer is attempting to assign a given conference room to a second meeting, when it is already assigned to a first meeting. It is determined whether a number of participants in the first meeting is small enough to be accommodated by a different conference room. If so, the first meeting is automatically reassigned to the different conference room, and the second meeting is assigned to the given conference room.

Abstract: In one embodiment, a method includes using a procurement control system computer to determine a peer group of a first entity having attribute values in common with the first entity and obtaining, from the entities, configurations associated with performing procurement tasks for these entities. Configurations of the first entity associated with performing procurement tasks for the first entity are also obtained. The method then determines Key Performance Indicators (KPI values) of the peer group entities and of the first entity and detects KPI values of the first entity that are relatively lower than KPI values of the peer group entities. The method determines particular configurations that affect these KPI values of the first entity and further determines configuration values of the configurations that are associated with a threshold number of the peer group entities. Finally, the method provides a description of these configuration values to the first entity.

Abstract: Embodiments relate to analyzing developmental progress and productivity of users based upon monitored activity features, and inferring expected levels of productivity for future time intervals. By analyzing code check-ins submitted by a user over a time interval, as other features associated with user activities during the time interval, a metric indicating a level of quality or productivity for the time interval can be determined. Based upon the determined metrics for the time intervals, expected levels of productivity for the user can be inferred for future time intervals. In addition, tasks can be automatically performed to reduce an amount of impact on the productivity of the user during time intervals of expected high productivity, such as scheduling of tasks outside of the time intervals, adjusting certain settings of a user device, and/or the like.

Abstract: Techniques to provide recommended data visualizations or analytical operations are disclosed. In various embodiments, an indication is received of a set of data for which a data visualization or analytical operation is to be provided. The set of data is analyzed to determine one or more data attributes of the set of data. A data visualization or analytical method to be recommended is selected for the set of data, based at least in part on the determined one or more data attributes.

Abstract: A method and system for operating an enterprise via an optimized business model. An output benchmark value is generated. An initial benchmark value for a resource of an enterprise is updated based on the output benchmark value. The business model is updated. A process is iteratively performed based on the updated benchmark value and model, until the benchmark value is changed by less than a predetermined threshold to generate the optimized business model. The enterprise is operated in accordance with the optimized model which includes: generating performance measures of usage of a computer resource, dynamically displaying a dashboard of the performance measures, determining from the displayed performance measures that the computer resource is a current bottleneck or is likely to become a bottleneck in the near future, and optimizing the computer resource's usage using the displayed performance measures to reduce data throughput delay and increase throughput of bottleneck operations.

Abstract: Calendar data including meeting schedules for users may be received by a processing device. A set of user schedules for the users may be generated based upon the calendar data. Each user schedule may contain a set of timeslots that represent a time window and an indication of whether a meeting is scheduled. A first combined score for the set of user schedules may be calculated. One or more rescheduling moves for the scheduled meetings may be determined using a rescheduling rule. A second combined score may be generated based on the rescheduling moves for the set of user schedules. A determination may be made as to whether the second combined score is higher than the first combined score. One or more meeting updates to reschedule the one or more meetings for the users may be generated.

Abstract: A method for obtaining credit card pricing for a merchant includes obtaining a merchant category classification (MCC) code. A sales volume, a number of credit card transactions, an average dollar amount of the credit card transactions and a percentage of credit card transactions that are keyed are obtained. The MCC code, the average dollar amount of the of credit card transactions processed and the percentage of credit card transactions that are keyed are compared with corresponding data from a database of merchant credit card transactions. A matched merchant is identified whose transaction profile closely matches a combination of the MCC code, the average dollar amount of the credit card transactions processed and the percentage of credit card transactions that are keyed. Credit card processing pricing information for the matched merchant is obtained from the database. The credit card processing pricing information is used to calculate credit card processing pricing for the matched merchant.

Abstract: An event management system generates and displays an event schedule for an attendee. An initial order of the event schedule is based on (a) events already completed by the attendee, (b) events to be completed by the attendee to meet an event completion target, and (c) a set of ordering rules associated with the set of events to be completed by the attendee. The event management system may include an interface for modifying the event schedule in accordance with the set of ordering rules. The interface may include an initial set of events, in an initial order with respect to a timeline. The event management system may receive user input including a proposed modification to the initial order of the events. The event management system may or may not permit the proposed modification based on the set of ordering rules.

Abstract: The present invention generally relates to techniques for obtaining value latent in elementary pieces of data that are (i) human-related, and (ii) transferable on a network to be amplified and commoditized by enabling multiple similar such elementary pieces of data to be combined into value-added statistical products, generating revenue through the selling of access to the statistical products, and then distributing the revenue in measure to holders of dividend-yielding shares of the statistical products. The technique employs measures for statistical-disclosure control so that individuals associated with the elementary pieces of data remain anonymous.

Abstract: Systems and methods for providing feedback to an operator of an industrial machine. One system includes a controller including an electronic processor. The electronic processor is configured to monitor at least one operating parameter of the industrial machine, determine a plurality of performance metrics based on the at least one operating parameter, and select a subset of the plurality of performance metrics based on a selection criterion. The electronic processor is also configured to display the subset of the plurality of performance metrics to an operator of the industrial machine during operation of the industrial machine.

Abstract: Systems and arrangements for determining whether a scheduled modification of a system, or the like, is a likely cause of an incident are provided. Historical data related to previous incidents may be received and analyzed to identify incidents having a significant business impact and the system, or the like, associated with those incidents. Scheduled modification data may be received and may include a system, or the like, for which a modification has occurred, and a time and date at which the modification is occurred. An incident may be received and the system, or the like associated with the incident may be identified and compared to systems, or the like, identified in the scheduled modification data. If there is a match, a determination may be made as to whether the incident occurred at a time and date of the scheduled modification. If so, the scheduled modification may be identified as a likely cause of the incident.