Abstract: Data associated a plurality of user interface elements may be retrieved from at least one database associated with a service business, such as a casino. At a first time, a first indication to turn on a first subset of the plurality of user interface elements may be received. The user interface elements may include content management, task management, property management, action management, player profiling, comp management, player development, asset tagging and flagging, profitability and comparative analysis, player insights, floor mapping, campaign management, etc. Each of the first subset of user interface elements may be populated with the respective data associated that user interface element.

Abstract: Integration of an external calendar application with a task facilitation service includes mechanisms for creating tasks within the task facilitation service based on calendar data of the calendar application received by the task facilitation service and processed using various dynamic models and algorithms. Further examples of integration include the task facilitation service generating recommendations for new calendar items and modifications to existing calendar items by leveraging the data and models available to the task facilitation service.

Abstract: A transaction-enabling system is disclosed. The system may include a controller to interpret a behavioral data source and a resource utilization requirement for a task system having at least one of a compute task, a network task, or a core task. The controller may then operate a machine to forecast a forward market value for a resource in response to the resource utilization requirement and the behavioral data source. The controller then adjusts an operation of the task system or executes a transaction in response to the forecast of the forward market value for the resource.

Abstract: Techniques and architectures for managing one or more data structures and/or distributing real-time data associated with the one or more data structures are discussed herein. For example, the techniques and architectures may implement data structures to manage data associated with one or more data-streaming events. The techniques and architectures may provide visualizations to view aspects of the data structures, the one or more data-streaming events, and/or other data associated with the data structures. The techniques and architectures may also facilitate control access to the data structures and/or data associated therewith.

Abstract: An electronic price label system and a method for an electronic price label system include a product database in which products are listed. A new price of a product is sent to an electronic price label linked to the product. The received new price of a product is stored by the electronic price label. The electronic price label changes the displayed price to the received new price in response to receiving a price activation signal from the electronic price label system, e.g. from base station of the electronic price label system.

Abstract: Data associated a plurality of user interface elements may be retrieved from at least one database associated with a service business, such as a casino. At a first time, a first indication to turn on a first subset of the plurality of user interface elements may be received. The user interface elements may include content management, task management, property management, action management, player profiling, comp management, player development, asset tagging and flagging, profitability and comparative analysis, player insights, floor mapping, campaign management, etc. Each of the first subset of user interface elements may be populated with the respective data associated that user interface element.

Abstract: A method may include receiving, at a server device, a request from a third-party website over an application programming interface (API), the request including a user identification and an item identification; retrieving, at the server device, a set of goal data structures generated for a user profile of a user matching the user identification; matching, at the server device, the item identification to an identification within a goal data structure of the set of goal data structures, the goal data structure including a plurality of steps associated with the goal data structure; generating, at the server device, a response data structure including a status of each step of the plurality of steps associated with the goal data structure; and transmitting the response data structure to the third-party website.

Abstract: Data associated a plurality of user interface elements may be retrieved from at least one database associated with a service business, such as a casino. At a first time, a first indication to turn on a first subset of the plurality of user interface elements may be received. The user interface elements may include content management, task management, property management, action management, player profiling, comp management, player development, asset tagging and flagging, profitability and comparative analysis, player insights, floor mapping, campaign management, etc. Each of the first subset of user interface elements may be populated with the respective data associated that user interface element.

Abstract: A target quantity of a target product is needed. However, the target quantity of the target product is not available from a set of sources. A fulfillment plan is generated. The fulfillment plan includes obtaining quantities of more than one product in order to fulfill the need for the target quantity of the target product. The fulfillment plan is executed. Executing the fulfillment plan includes distributing tasks, orders, notifications to various entities to fulfill the target quantity of the target product.

Abstract: Aspects described herein may allow for the application of machine learning techniques to the classification of transactions and/or the prediction of shipping means for such transactions. This may have the effect of generating better insights into user shopping behavior and providing users with better predictions as to how they may expect to receive their purchases. A browser application may be monitored to determine that a user is shopping. A machine learning model may be used to predict shipping data associated with a product and/or merchant associated with the shopping of the user. Predicted shipping data may be displayed to the user, and user feedback may be requested and received to confirm model predictions and review purchases and shipping experiences.

Abstract: A system and method are disclosed for solving a supply chain planning problem modeled as a linear programming (LP) problem. Embodiments include receiving a matrix formulation of at least a portion of the LP problem representing a supply chain planning problem for a supply chain network, generating an image based on the matrix formulation to identify connected components, partitioning the matrix formulation based, at least in part, on the connected components constraint into at least two partitions, formulating an LP subproblem from each of the at least two partitions, and solving the LP subproblems to generate a global solution to the supply chain planning problem.

Abstract: System, methods, and devices for measuring the performance of a component of a communications network recently installed by a technician using proactive network maintenance parameters, and further assessing the installation performed by the technician.

Abstract: An example includes one or more devices may include one or more memories and one or more processors, communicatively coupled with at least one of the one or more memories, to identify a service that is provided within a region; identify a model that is associated with the service, the model having been trained based on consumer profile data, service provider data, and historical information; determine a current demand associated with the service in the region; predict, using the model and based on the current demand associated with the service, a future demand for the service during a time period; determine a current capacity to provide the service based on real-time service provider information associated with service providers that are providing the service in the region; and perform an action associated with the service based on the future demand for the service and the current capacity to provide the service.

Abstract: A transaction information aggregation system includes raw transaction and enriched transaction databases. The raw transaction database comprises transaction information for a plurality of transactions, including for each transaction an account holder identifier and at least one transaction parameter. The enriched transaction database comprises an indexed transaction record for each of the plurality of transactions, each record including a plurality of search terms associated with each of the at least one transaction parameter.

Abstract: A method for identifying machine modifications to improve machine productivity can include receiving telematics data from a plurality of sensors on a machine performing an activity. An activity type can be determined based on the telematics data. The method can also include calculating a current estimated machine productivity for the activity type and calculating a predicted machine productivity for the activity type for each of a plurality of machine modifications. The predicted machine productivity for each of the plurality of machine modifications can be compared with the current estimated productivity. The method can include calculating an investment metric for each of the machine modifications having a predicted machine productivity greater than the current estimated productivity. Each investment metric and its corresponding machine modification can be output for review by a user.

Abstract: A method of generating a visualization of location-dependent values is provided where a plurality of bids and a plurality of supply locations are received from at least one datastore. Each of the plurality of bids has an associated location. A first geographic location is selected from the plurality of supply locations. A ball tree is generated, the ball tree comprising a plurality of nodes, each node of the ball tree comprising a pivot geographic location and a radius, each node corresponding to at least one local value having a location within the radius of the pivot. The ball tree is traversed to generate sorted collection of location dependent values. Each of the location dependent values is determined from one of the plurality of bids. A map of the collection of location dependent values is output.

Abstract: Methods, systems, and computer program products for auto-discovery of reasoning knowledge graphs in supply chains are provided herein. A computer-implemented method includes obtaining a spatiotemporal query related to a demand of at least one product in a supply chain; analyzing the spatiotemporal query to identify one or more parameters affecting the demand of the at least one product, wherein the one or more parameters comprise at least one of one or more climate parameters and one or more disruptive event parameters; generating a knowledge graph comprising information indicating an impact on the demand of the at least one product for at least a portion of the one or more parameters; and outputting, to a user interface, an explanation of a predicted demand forecast for the at least one product based at least in part on the knowledge graph.

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: A computer-implemented method includes receiving process information that specifies one or more process requirements and one or more potential causes of failures associated with processes for manufacturing a design, ii) control information that specifies one or more parameters and one or more values associated with the one or more parameters that facilitate determining whether the one or more process requirements specified in the process information that are associated with the processes are being met, and iii) sensor data associated with the one or more parameters from one or more sensors of a product development environment. Responsive to determining that sensor data associated with a particular parameter of the control information is outside of an associated range of values, a process requirement and a process associated with the parameter is determined based on the process information and the control information.

Abstract: A system, and method for controlling a computing system, comprising: reading a stored energy-performance characteristic of a plurality of different phases of execution of software, an execution of each phase being associated with a consumption of a variable amount of energy in dependence on at least a processing system performance state, the performance state being defined by a selectable performance-energy consumption optimization for at least two processing system components; scheduling a plurality of phases of execution of the software, in dependence on the stored energy-performance characteristics, for each of the respective phases of execution of the software and at least one system-level energy criterion; and executing the phases of execution of the software in accordance with the scheduling.