Abstract: A financial institution computing system includes an account database configured to store a plurality of transaction statistics with respect to a financial account of a customer, a social media database configured to store a plurality of social media activities of the customer, and a customer metric management circuit. At least one of the plurality of transaction statistics is indicative of a first transaction between the customer and a merchant. The customer metric management circuit is configured to determine a probability model of the customer based on the plurality of transaction statistics and the plurality of social media activities of the customer. The probability model indicates a probability that the customer will conduct a second transaction with the merchant in the future. The customer metric management circuit is further configured to provide the probability model of the customer to a device associated with the merchant.

Abstract: An analysis method includes: executing first accumulation processing for accumulating analysis reports including an analysis item regarding an analysis target and analysis results with respect to the analysis item; executing first extraction processing for extracting the analysis item and texts representing the analysis results from each of the analysis reports accumulated; executing first identification processing for identifying analysis techniques corresponding to the texts extracted; executing generation processing for generating analysis patterns; executing second identification processing for identifying first analysis patterns; executing third identification processing for identifying other analysis patterns; executing second accumulation processing for accumulating pattern information; executing second extraction processing for extracting the analysis item and the texts from a new analysis report; and executing output processing for identifying an analysis technique.

Abstract: Systems, methods, and computer-readable media are disclosed for identifying customers having associated opportunities for improved growth and/or profitability with respect to product or service offerings and determining investment solutions that enhance the probability that the customers transition to the higher growth/profitability opportunities. Prior customer transactions are segmented based on segmentation criteria and used to generate a transaction graph. The nodes of the transaction graph represent the segmented transactions and client transaction paths between the nodes represent potential customer life-cycle trajectories. The transaction graph can be used to identify high-value penetration opportunities.

Abstract: A device may receive organization data defining first capabilities of an organization and industry trend data that is relevant to the organization. The industry trend data may define second capabilities that are relevant to the organization. The device may provide, as input to a capability model, the organization data and the industry trend data. The capability model may have been trained to produce, as output, data specifying recommended changes for the organization. The device may determine, based on the output of the capability model and the industry trend data, a recommendation. The device may perform an action based on the recommendation.

Abstract: An automated memory assistance function of a personal social network may be an application of a user for use on a mobile telecommunications device. The personal social network comprises the smart device and an administrative panel called Not So Forgetful (NSF). The automated memory assistance function is personal to its user and may run on the smart device for receiving personal user information and a cloud server connected to the smart devices for searching and receiving memory assistance data. A smart device may also be a smart home, a smart television, a smart watch, smart glasses and the like. Algorithms include a memory assistance algorithm responsive to light and heavy reminders input via a microphone, camera, (including voice and image recognition, a GPS system, a time of day/date calendar and a gyroscope/accelerometer (for example, to determine if a user has fallen).

Abstract: A scalable industrial asset management system dynamically negotiates allocation of mobile industrial assets to industrial operation sites. The asset management system tracks and models the capabilities and availabilities of a pool of mobile industrial assets (e.g., truck-mounted assets or other such assets). Based on a defined demand of a scheduled industrial operation requiring mobile industrial assets (e.g., a fracking operation, a mining operation, etc.) the system selects a subset of the mobile industrial assets that are both available during the scheduled operation and are collectively capable of satisfying the demands of the industrial operation. Moreover, based on the asset models for the subset of mobile industrial assets, the system configures an on-premise cloud agent device to collect telemetry data from the mobile assets during the operation and to migrate the collected data to a cloud-based collection and analytics system.

Abstract: A system, method, and computer program product are provided to allow a user to define a list of user-defined important senders; receive an e-mail; identify information associated with the sender of the e-mail, in response to the receipt of the e-mail; perform a comparison, utilizing one or more processors, involving the information associated with the sender of the e-mail, and the list of user-defined important senders, to determine whether the information associated with the sender of the e-mail is on the list of user-defined important senders; and organize the e-mail in a single user-defined important sender(s) folder, based on the comparison.

Abstract: A computer-implemented method in a visualization module is provided. The visualization module comprises a processor configured by programming instructions encoded in non-transient computer readable media. The method comprises: receiving, by the processor from a user interface, a request for a visualization of decision steps made in an order allocation process; retrieving, by the processor from a database system, a plurality of data items belonging to the same order that identify rules applied at each decision step in the order allocation process, parameters used during rule application, and decisions resulting from rule application; generating, by the processor using the retrieved data items, a visualization that identifies the decision made at each decision step; and causing the visualization to be displayed on the user interface.

Abstract: Methods, systems and computer program products for providing an interactive resource plan visualization associated with a facility are provided. Aspects include receiving facility data comprising historical facility data, current facility data and demand data. Aspects also include determining projected resource demand based on the facility data and the demand data and using cognitive computing techniques. Aspects also include generating a visual representation of a facility. The visual representation of the facility includes available resources and resource demand associated with a specified time and the available resources are rendered according to a first visual style. Aspects also include determining resource availability modifications based on the available resources and the projected resource demand. Aspects also include generating a visual representation of the resource availability modifications associated with the specified time within the visual representation of the facility.

Abstract: Techniques are described for performing intelligence on supply chains used by organizations. A system performs a risk assessment of a labor supply chain of a particular organization by accessing, from a database, a first set of coded confidential labor supply chain data for the particular organization and a second set of coded confidential labor supply chain data for other organizations that are different from the particular organization. The system analyzes a combination of the first set of data and the second set of data to assess whether risks exist within the labor supply chain of the particular organization. Based on the analysis, the system generates a risk report for the labor supply chain data of the particular organization by desensitizing at least a portion of the second set of data for inclusion in the risk report and integrating the desensitized portion of the second set of data with confidential labor supply chain data of the particular organization.

Abstract: A pricing engine may be provided for automatically setting pricing or repricing of goods simultaneously according to a set of rules and objectives. The pricing engine may utilize a database of internal data and external data. The pricing engine may use the data to segment the goods. The engine may further apply pricing rules to the segmented goods, reconcile any deviations using a control framework, and provide a comprehensive output.

Abstract: A method, system, and computer program product for predicting a hotel room arrival for a guest at a hotel. The method comprises a hotel computer system receiving calendar information for the guest from a mobile device for the guest of the hotel while the guest is in the hotel. The method predicts the hotel room arrival for the guest at the hotel using the calendar information. The method performs an action in the hotel based on the hotel room arrival predicted for the guest.

Abstract: Embodiments for implementing intelligent opportunity recommendation and management by a processor. A channel selection model mat be applied to a selected opportunity in view of a plurality of opportunity attributes to identify one or more team candidates of an entity or one or more entity partners ranked by alignment with the selected opportunity and determine a recommended opportunity owner from the one or more team candidates of the entity, the one or more entity partners, or a combination thereof.

Abstract: A hybrid computer-based system and method for scheduling a plan of training programs, such as flight training programs, is disclosed. A heuristic scheduler receives a plan request comprising training programs to schedule, along with a plan vector, scheduling rules, and available resources. The scheduler computes a locally optimized scheduling plan of the training schedules in the request. An evaluator evaluates one or more costs of the scheduling plan. A solver employs stochastic methodology of reordering the plan vector, in order to improve the costs. The scheduler, evaluator, and solver are employed iteratively until a globally optimized scheduling plan is determined. In some embodiments, scheduling rules are arranged in a sequence of constraint-relaxed tiers, allowing for flexibility in heuristic scheduling in light of multiple layers of constraints: validity, i.e., inviolable (hard) constraints that training schedules must meet.

Abstract: Systems, methods, and computer-readable media are disclosed for identifying customers having associated opportunities for improved growth and/or profitability with respect to product or service offerings and determining investment solutions that enhance the probability that the customers transition to the higher growth/profitability opportunities. Prior customer transactions are segmented based on segmentation criteria and used to generate a transaction graph. The nodes of the transaction graph represent the segmented transactions and client transaction paths between the nodes represent potential customer life-cycle trajectories. The transaction graph can be used to identify high-value penetration opportunities.

Abstract: Scheduling one or more users via potential calendars is presented. In preparing a potential schedule request, one or more potential time slots in which the to-be scheduled event may be held are identified. The potential schedule is sent to the scheduled users and the potential time slots for the potential schedule event are added to the users' calendars. In response to clarifying information, one or more potential time slots of the potential schedule request may be removed from consideration for the potential schedule event. A selection is made regarding a potential time slot for the potential schedule event and the potential schedule event is promoted to the explicit calendars of the scheduled users to be held at the selected potential time slot. In promoting the potential schedule event to the explicit calendars, the potential event is removed from the potential calendars, including any remaining potential time slots.

Abstract: Embodiments determine a price schedule for an item by, for each item, receiving a set of prices for the item, an inventory quantity for the item, a per-segment demand model for the item, and an objective function that is a function of the per-segment demand model and maximizes revenue based at least on a probability of a return of the item and a cost of the return. Embodiments allocate the inventory quantity among a plurality of customer segments based at least on a predicted contribution of each customer segment to the objective function. Embodiments determine a markdown portion of the price schedule for the item that maximizes the objective function, where the markdown portion assigns a series of prices selected from the set of prices for respective time periods during a clearance season for the item.

Abstract: A system and method for scheduling at least one event includes a component module arranged to receive component data regarding a plurality of possible operation decisions, a modelling module arranged to utilise the plurality of operation decisions to construct a Petri net model to simulate a real world system, a scheduling module arranged to utilise the Petri net and variable data regarding the plurality of operation decisions to determine a schedule of events that is feasible subject to a set of predetermined constraints, and an operation module arranged to provide the schedule of events to at least one external device.

Abstract: A method for immutability of review verifications includes: storing a blockchain; receiving a review submission from a reviewer about an entity comprising feedback; identifying a review identifier unique to the review submission; generating a new review block for the blockchain including the review submission including the review identifier; receiving verification submissions from other reviewers about the review submission indicating positive or negative verification of the review submission; generating verification blocks for the blockchain that include the verification submissions; adding a trustworthiness block to the blockchain for the review once enough positive verifications are received; and adding a trustworthiness block to the blockchain for the reviewer once they have enough trustworthy reviews.

Abstract: Computer-implemented methods, systems, and computer readable media are provided for identifying and optimizing performance drivers of a healthcare related system. Healthcare related data may be analyzed to produce performance information pertaining to performance indicators for performance drivers of the healthcare related system. From the performance information, changes in the sets of performance indicators over time for the performance drivers may be determined and performance drivers with determined changes satisfying a threshold may be identified. An impact of the determined changes in the performance indicators to the identified performance drivers and contributions to the determined impact from one or more factors may be identified. Factors of the identified performance drivers with opposing utilization trends may be identified and an impact of the identified factors on the performance drivers may be determined.