Abstract: A method includes monitoring with at least one monitoring tool one or more activities associated with an enterprise. The method further includes analyzing data input from the at least one monitoring tool of the one or more activities, and determining, based on analytics performed on the data input and an implemented policy, when the one or more activities qualifies as an incident. A remedial response responsive to the incident is initiated. The monitoring, analyzing, determining and initiating steps are performed by at least one processing device including a processor operatively coupled to a memory.

Abstract: Arrangements for providing multi-channel tracking and control are provided. In some examples, a request for a quantity of product may be received. The request may be processed and the order transmitted to a destination. During shipping, tracking of the order may be performed to determine whether an order has arrived at a destination. In some examples, quality data may be captured at the destination to determine whether a portion of the order was damaged or destroyed during shipping. In some arrangements, upon detecting delivery of the order the system may generate one or more instructions to update an inventory of the requesting entity based on delivery of the order. In some examples, machine learning may be used to predict when an entity may submit a subsequent request for product, a recommended amount of product, and the like. This information may be transmitted to a requesting entity to simplify future processing requests.

Abstract: The present disclosure relates to a more effective way to prepare for meetings and events. Accordingly, the present disclosure providing systems and methods for generating and presenting behavioral insights for individuals and groups that may facilitate preparation for meetings. In some implementations, the system may inform the proposed group what each individual might need before a meeting. In some aspects, the system may suggest what might make a meeting effective based on the behavioral insights of the attendees.

Abstract: An object of the invention is to quickly provide an effective recovery plan for a delay problem occurring at a manufacturing site. A dynamic production planning system includes a dynamic production planning device, and the dynamic production planning device includes a process actual result storage unit that includes a record of time spent on production for each item and process, a process plan actual result storage unit that includes a production facility of which usage is planned and assumed work time thereof for each item and process, and a recovery scenario generating unit configured to calculate, for each item and process, an index indicating a risk of a delay using the time spent on production and the production facility of which usage is planned and the assumed work time thereof for each item and process.

Abstract: A system for matching employment candidates to employment positions is disclosed. Measures of personality traits and optionally interests are used to match candidates to employment positions. Candidates' traits may be assessed by administering a questionnaire. A similar questionnaire may be provided to suitable employees who are already filling, or have previously filled, employment positions, in order to assess personality traits of suitable employees for each position. Results are preferably received and compared. A list of suitable jobs may then be provided to the candidate. Software and computer systems embodying the method are also disclosed.

Abstract: A management system for controlling a layout of physical and logical resources, the system including manipulation tools for manipulating physical and logical data flowing between computers and the resources, the manipulation tools including: at least two characters for each of the resources; at least two servicing-items, each for handling one character of the at least two characters, thereby at least one of the resources is serviced by the at least two servicing-items; each of the at least two servicing-items delivers logic events of the logic events regarding the one character handled thereby of the at least one of the resources being serviced by the at least two servicing-items, to the other servicing-item not handling that character.

Abstract: A system is disclosed. The system includes a computing system and a portable device. The computing system includes a storage device configured to store a current checklist associated with a service operation performable on a machine. The current checklist includes a checklist item. The portable device includes a display screen and is communicably connectable and synchronizable with the computing system. The portable device is configured to (1) receive input data, (2) display a first data screen on the display screen after the portable device is synchronized with the computing system, where the first data screen comprises the current checklist and the checklist item, where the checklist item comprises a link to a second data screen and (3) display the second data screen after the link is activated. The second data screen comprises current supplemental information associated the service operation and the checklist item.

Abstract: Embodiments herein disclose a systems and methods for managing data related to a vehicle. Embodiments disclosed herein relate to systems and methods for managing data related to the vehicle, and more particularly to the systems and methods for managing the data related to the vehicle between at least one of customer, dealer, and service center and so on. The system comprises a server, plurality of source devices, plurality of destination devices connected to each other via a communication network. The method includes detecting UHF-RFID tags coupled to the vehicle and plurality of vehicle components. The method includes updating the information in the server regarding the detected vehicle and the vehicle components entering/leaving a stockyard. Also, the method includes displaying the data related to at least one of the vehicle and the vehicle components, based on retrieved data from the server and the determined type of a user profile.

Abstract: Methods and systems are disclosed configured to control the planting, application of pesticides, and harvesting of greenhouse crops, such as herbs. The greenhouse may include a variety of sensors, such as moisture sensors, ph sensors, and/or CO2 sensors. Unmanned vehicles may be utilized to capture crop images, and a learning engine may be used to determine the size of greenhouse crops. Such sensor data may be used to predict crop availability. A predication engine may be utilized to predict demand for greenhouse crops using current and historical orders for greenhouse crops. Greenhouse crop production instructions may be generated and transmitted to a greenhouse computer system to cause crops to be sown or harvested. Pallet loading instructions may be generated regarding the loading of specified quantities of crop packs on respective pallets for shipment to a destination.

Abstract: A first feature is displayed within a first view of a user interface. A first selection of the first feature is configured to display a first set of identifiers corresponding to one or more tasks. A second feature is displayed within the first view of the user interface. A second selection of the second feature is configured to display a second set of identifiers corresponding to a set of workers. Each worker of the set of workers is associated with the one or more tasks and a first time that the one or more tasks are scheduled to be completed by. A set of status indicators are displayed. Each status indicator of the set of status indicators indicates whether the one or more tasks have been completed by the first time for the each worker of the set of workers based at least in part on the associating.

Abstract: A system, method, and computer program product for a model-based data analysis system is disclosed. The method includes the steps of receiving information from one or more respondents that includes at least one response to a question included in a first survey, updating a model based on the received information, and generating a second survey based on the updated model. The method may be implemented by a server application communicating with a client application via a network.

Abstract: An enhanced task management feature can provide enhanced task management capabilities including making the entering of new tasks in an electronic application easier for the user, such as having the user see suggestions of where to put the new task and, in some cases, providing suggestions for details associated with the task. The enhanced task management feature can receive task input associated with a task item from an application; use the task input and at least a user-specific model to identify at least one likely task list name for the task item; and provide a suggested task list name from the at least one likely task list name to the application for display. The enhanced task management feature can receive from user input a task list name and the task item and the task item can then be assigned to a task list associated with the task list name.

Abstract: System and method for measuring the performance of brands across online and offline consumer conversations. Raw conversational data of online and offline conversations is received and analyzed using proprietary algorithms to extract, for each type of data (online and offline), relevant metrics that reflect the performance of the brand. In a non-limiting example, these metrics include: volume, sentiment, brand sharing and social influence. One of the problems with using raw data is the extreme volatility that will cause the results to sharply vary between a week and the other depending on the most recent activity or the lack of activity. To solve this problem, the embodiments compute for each metric a moving average (MA) formula specific to that metric to reduce the volatility of the results. The formula is computed so that the metric values produced by the formula would have the best/most correlation with factual data/business outcomes (e.g. sales/sale figures, stock price, purchase or dumping of stocks etc.

Abstract: A distributed node cluster architecture within a parallel computing environment provides for the association of individuals and households accessing a communications network through multiple electronic communications devices with a particular digital touchpoint or touchpoints used when communicating on the network. The cluster facilitates the determination of a touchpoint when an individual or household name is determined, or, alternatively, the determination of an individual or household when a touchpoint is received. A persistent linkage of digital touchpoints to individuals or households communicates with an entity resolution system executing at the node cluster to track data pertaining to entities, allowing the coordination of touchpoints with such individual consumers or households over time.

Abstract: A computer-implemented technique is described herein for receiving activity signals from plural logic components running on one or more computing devices. Each activity signal includes an activity information item (AII) that describes an activity performed by a subject (e.g., a user), or to be performed by the subject, as recorded by a logic component. The technique stores AIIs extracted from the activity signals in a graph data structure. The technique then: determines, by interrogating the graph data structure, one or more activity clusters within a span of time, each activity cluster pertaining to a group of AIIs associated with a same encompassing project; generates one or more summary documents based on the identified activity cluster(s); and sends the summary documents to an output device.

Abstract: Disclosed is a system and method for cross-silo acquisition, reporting and analysis of enterprise data. A computer system receives enterprise data related to various vertical units of an enterprise, including machine-generated data and human-generated data. The computer system stores the machine-generated data with associations to at least some of the human generated data, and associates persona data representing a plurality of personas with the plurality of vertical units of the enterprise, such that at least one persona is associated with each of the vertical units. The computer system further associates a plurality of user-defined key performance indicators (KPIs) with the personas, and associates each of a plurality of users with at least one of the personas. The computer system computes the KPIs based on the enterprise data, and controls access by the users to the computed KPIs, based on personas to which the users are assigned.

Abstract: Computer-implemented systems and methods for intelligent generation of purchase orders are disclosed. The systems and methods may be configured to: receive an order quantity for a product from a system determining optimal order quantities for products based on demand forecast data; prioritize the order quantity based on actual constraints; and assign the prioritized order quantity to one or more locations.

Abstract: A software solution for managing, sorting and ranking lists of tasks and integrating task and time management, such that tasks can be automatically or manually assigned to specified time blocks. Users can monitor the relationship between volume of tasks and available time in which to complete them. The solution and method can be applied to individual task lists as well as to the management of time across multiple projects and can be employed either by individuals or by collaborative groups. The solution and method employ multiple filters, sorts and handling rules to embody users' personal planning preferences. It can be used to manage task lists both with and without employing a scheduling component. The solution can interoperate with existing computer- and web-based calendar software and can use third-party calendar clients to display its output and to accept input from users.

Abstract: A method and system for utilizing dissimilarity among business components of a business. For each business process of N business processes of a business, N two-dimensional symmetric dissimilarity matrices are stored, wherein N is at least 1. A single dissimilarity matrix is generated, wherein if N=1, the single dissimilarity matrix is a copy of a two-dimensional symmetric dissimilarity matrix of the N two-dimensional symmetric dissimilarity matrices, and wherein if N is at least 2, the elements of the single dissimilarity matrix are a mean of corresponding elements of the N dissimilarity matrices. A rotatable spatial distribution of the business components, derived from the single dissimilarity matrix, is displayed to a user who subsequently selects one or more business components for usage in a manner that reflects the spatial distances between the displayed business components.

Abstract: The present disclosure includes a prescriptive engine system and a method of using the prescriptive engine system. The method includes receiving information on actions and receiving information on participants, the information on the participants including first suitability information of at least one participant for at least one of the actions, generating, based on the first suitability information, second suitability information for a set of participants for at least one action, allocating, based on the second suitability information, the at least one action to the set of participants, deploying the at least one action to the set of participants, receiving, after the at least one action has been performed, results of the at least one action for each participant in the set of participants, and updating, based on the received results, the first suitability information of each participant in the set of participants for the at least one action.