Abstract: A computer-implemented technique is described herein for rescheduling events within calendars to achieve a target objective with respect to target occurrences of a particular kind in the calendars. For instance, the target occurrences may correspond to instances of free time, and the target objective is to increase the amount of minimum-sized free-time blocks within the calendars, e.g., by favoring the introduction of large free-time blocks of minimum size (e.g., two-hour blocks), and disfavoring the presence of smaller-sized free-time blocks scattered among calendar events. In other words, the technique defragments the calendars with respect to free time expressed in those calendars. At the same time, the technique honors (when possible) participant-related constraints associated with calendar events. Further, the technique penalizes modification of an event as a function of a temporal distance over which the event is moved; this penalization has the effect of reducing disruption to the calendars.

Abstract: Methods, systems, and computer-readable media for implementing automated services capacity modeling using call tracing are disclosed. A plurality of demand drivers are determined based on trace data for service interactions between services in a service-oriented system. The demand drivers are determined to drive a generation of service calls to a particular service. A total call volume is determined to the particular service based on the external demand drivers. An optimized quantity of computing resources to provide the particular service is determined based on the total call volume.

Abstract: The present disclosure is generally related to systems and methods that automatically created trusted social media reviews based on consumer feedback extracted from information sources. A method includes extracting at least a portion of responses from a survey questionnaire, populating a web form with the extracted the at least a portion of responses to create a social network message. The web form can have selectable links to social networks. The method also includes receiving selections of the social networks and providing the social network message to the selected social networks.

Abstract: A system management tool, with a risk assessment mode enabled, is executed within an execution infrastructure on a management computer system, to manage a target computer system in a production situation. When the execution of the tool reaches a risk segment which raises risk for the target system, a user is informed of at least one action to be executed in the risk segment. If the user agrees, the tool is allowed to execute in an automatic mode until an end of the risk segment is reached. Feedback is obtained from the user regarding safety of the risk segment; and the steps are repeated for a plurality of additional risk segments until the tool is deemed safe for all of the risk segments, after which the tool is transitioned from the risk assessment mode to an automatic mode of operation.

Abstract: A system and method for demand-activated remote monitoring and/or control of motor vehicles via a radio data communication link with a coordination unit. The coordination unit is configured for conveying requests for remote monitoring and/or remote control of a motor vehicle and offers for performing the remote control from control terminals located remotely from the coordination unit. After acceptance of an offer by the vehicle, the coordination unit provides a data communication link between the motor vehicle and the control terminal over which the remote control and/or monitoring is performed.

Abstract: A method of tracking a hauling operation is provided. The method includes the steps of: mounting a beacon to a hauler, the beacon including a transmitter configured to emit a low energy transmission including a unique identification, the unique identification code corresponding to the beacon; providing at least a first receiving unit at the loading site, the first receiving unit configured to detect the low energy transmission emitted by the beacon mounted to the hauler; detecting with the first receiving unit the low energy transmission emitted by the beacon when the hauler and mounted beacon are within range of the first receiving unit; analyzing the detected transmission emitted by the beacon mounted to the hauler with the at least first receiving unit to determine the unique identification code transmitted by the beacon; and identifying the hauler based on the embedded unique identification code of the detected transmission.

Abstract: A method for transmitting a message based on the occurrence of a workflow event and the output of an externally augmented propensity model. The method includes scoring a business entity by applying a propensity model to data. The data includes a first portion created based on a platform utilized by users associated with the business entity, and a second portion that includes financial data of an owner of the business entity. The method includes generating, based on the score, a classification of a future financial requirement of the business entity, and determining that the classification meets a financial requirement threshold. Moreover, the method includes determining, using the first portion of data, that an aspect of the business entity meets a business activity threshold. Also, the method includes detecting that a workflow event has occurred on the platform, and, in response, transmitting a message to a user of the business entity.

Abstract: A computer implemented method for generating digital models of relative crop yield based on nitrate values in the soil is provided. In an embodiment, nitrate measurements from soil during a particular portion of a crop's development and corresponding crop yields are received by an agricultural intelligence computing system. Based, at least in part, on the nitrate measurements and corresponding crop yields, the system determines maximum yields for each location of a plurality of locations. The system then converts each crop yield value into a relative crop yield by dividing the crop yield value by the maximum crop yield for the location. Using the relative crop yields and the corresponding nitrate values in the soil, the system generates a digital model of relative crop yield as a function of nitrate in the soil during the particular portion of the crop's development.

Abstract: A computer system for identifying utility cost savings is provided. The computer system includes a memory and at least one processor coupled to the memory. The at least one processor is configured to receive usage information gathered from at least one site via a first interface, administer a utility questionnaire via a second interface, and determine recommendation information describing a plurality of cost savings recommendations for the at least one site based on a set of responses to the questionnaire and the usage information.

Abstract: The disclosed embodiments generally relate to in-store customer traffic analysis systems and methods. The system includes at least one sensor positioned within a retail store, at least one display associated with the at least one sensor, one or more memory devices storing instructions and one or more hardware processors configured to execute the instructions to perform operations. The operations include receiving a sensor signal indicating that a user device is within a proximity to the at least one sensor in the retail store, extracting a user device identifier from the sensor signal, correlating the sensor signal to the at least one display, generating a foot traffic record associated with the user device identifier and the at least one display, based on the received sensor signal, and storing the generated foot traffic record.

Abstract: A method of determining information relating to the occupancy of a space that includes receiving first data relating to the occupancy of the space over a time period, receiving second data indicative of either times of decrementing events or times of incrementing events affecting the occupancy of the space during the time period, and either, for each decrementing event time, using the first data to obtain an estimated incrementing event time, or, for each incrementing event time, using the first data to obtain an estimated decrementing event time. The method has particular application in the determination of waiting times, for example in the context of queue monitoring.

Abstract: There are provided systems and method for targeted assistance on user check-in. A service location may provide beacons at or near the location to determine if a user approaching or at the service location has any experience with the service location. For example, a merchant may place a beacon at the entrance to a store to determine if a user has shopped at the store. Thus, when a user is in proximity to the beacon, a user device of the user and the beacon may establish a check-in. Through a user identifier communicated to the beacon, the service provider at the location may determine a user history, such as a number of visits by the user to the service location. The service location may then provide targeted assistance, such as information, personal help, item searches, etc., based on the user's history with the merchant.

Abstract: A method, server, and computer program for matching jobs and workers. The server is configured to receive, from entities, job data indicative of available jobs; receive from mobile devices associated with workers, worker data; store the job data and the worker data in the data store; determine and store, in the data store, worker preference data and entity preference data; determine matches, wherein each match pairs one of the workers with one of the jobs based on the worker preference data and the entity preference data; transfer, to each matched worker via a respective mobile device, data indicative of the respective matched job; receive, from at least some of the mobile devices, feedback data indicative of whether at least some of the matched jobs were accepted or declined; and transfer, to the respective entity for each accepted job, data indicative of the respective worker who accepted the job.

Abstract: The present disclosure is related to methods, systems, and machine-readable media for information technology (IT) cost calculation in a software defined data center. A cost of infrastructure IT objects in a software defined data center can be calculated. The infrastructure IT objects can be mapped to an IT service construct over time, during runtime of the infrastructure IT objects. A portion of the cost of the infrastructure IT objects can be allocated to the IT service construct according to the map. A non-infrastructure IT cost can be allocated to the IT service construct. A total cost of the IT service construct can be calculated based on the allocations.

Abstract: The present disclosure extends to methods, systems, and computer program products for generating attribute tables for holding attributes while a corresponding business plan is in an approval process. The present disclosure also extends to methods, systems and computer program products for approving proposed business plans and automatically generating workflow for establishing data tables for aggregating customer profile data in those data tables. The present disclosure also extends to methods, systems and computer programs for excluding, hiding or removing certain items of information or data from data contained in one or more attribute tables.

Abstract: Among other things, one or more techniques and/or systems are provided for developing a criticality profile of an industrial asset. The criticality profile describes the importance of the industrial asset to a system in terms of one or more criticality metrics and/or one or more confidence profiles. Such metrics may include an operational metric indicative of the operation impact of the industrial asset on a system if the industrial asset remains unchanged or enters a degraded or improved state, a restoration metric indicative of a complexity of restoring the industrial asset to an operational state from the unchanged or degraded state and/or complexity of improving the industrial asset to an improved state, and/or an interdependency metric indicative of a relationship between the industrial asset and one or more other industrial assets and/or between the industrial asset and one or more structures in an environment associated with the industrial asset.

Abstract: Computer-implemented methods and systems of estimating wait times and food serving times at a restaurant using wearable devices include identifying from portions of sensor data that a user is seated at a restaurant table at an estimated sitting time. In addition, portions of sensor data can be used to identify that a user has started eating at a given restaurant. Time-correlated location data can be used to determine an estimated arrival time of the user at a current location. An estimated wait time can be determined from the difference between the estimated sitting time and the estimated arrival time. An estimated food serving time can be determined from the difference between estimated eating time and arrival time or eating time and sitting time. Data indicative of the estimated times can be communicated to other computing devices, evaluated across multiple users, and/or used to develop relevant notifications for surfacing to other users.

Abstract: A demand response management system having a participation predictor. There may be a storage device having information collected about past behavior, related to participation in a demand response program, about a customer. The information may incorporate determining a period of time since the customer last participated in a demand response program, a frequency of participation in demand response events by the customer, and a size of energy loads of the customer. A model of the customer may be developed from this and other information. A processor may be used to collect and process the information, develop a model, and to make a prediction of a customer's being selected to participate in an event based on the various operator selectable criteria.

Abstract: A device may communicate with a server to obtain historical ticket data. The device may generate a data model, based on the historical ticket data. The device may communicate with a client device to obtain ticket data relating to an issue associated with a project. The device may classify, using the data model, the ticket data into a ticket type. The device may generate, using the data model and based on the ticket type, a set of recommended resolutions for resolving the issue associated with the project. The device may select, from the set of recommended resolutions, a particular resolution based on a set of selection criteria. The device may automatically perform one or more actions to implement the particular resolution to resolve the issue associated with the project.

Abstract: A display monitoring system exchanges information with display sensors and responds to multiple display stakeholders based on conclusions drawn from the information.