Abstract: A method related to customers orchestrating engagements with service providers. The method includes providing, by a facilitator entity, a customer journey orchestration service that includes: service providers affiliated with the customer journey orchestration service; a virtual datacenter in which cloud-based applications and databases are operably linked to communication devices of the customers and to the affiliated services providers; customer interface portals for enabling the customers to interact with the virtual datacenter, each customer interface portal being associated with a specific customer; and a customer profile database that stores customer profiles corresponding to respective ones of the customers. The method further includes configuring, by the facilitator entity, an account of the customer for participation in the customer journey orchestration service.

Abstract: Systems to establish a security profile may include a memory to store original text from security questionnaires, and values associated with the original text from the questionnaires, the values indicating a section, a control, or a question of the original text. The system may also include a processing unit. The processing unit can identify a set of latent topics present in the original text from the stored security questionnaires, score the original text based on presence or absence of latent topics, receive a new security questionnaire, score the new text from the new security questionnaire based on presence or absence of latent topics, compute a distance between the scored original text from the stored security questionnaires and the scored new text from the new security questionnaire, and link the original text to the new text with a smallest distance between.

Abstract: A method for gaze-based workflow adaptation includes identifying a workflow in which a user is engaged, where the workflow comprises a plurality of tasks that collectively achieves a desired goal, creating a trigger for a given task of the plurality of tasks, wherein the trigger specifies an action to be automatically taken in response to a gaze of the user meeting a defined criterion, monitoring a progress of the workflow, monitoring the gaze of the user, and sending a signal to a remote device in response to the gaze of the user meeting the defined criterion, wherein the signal instructs the remote device to take the action.

Abstract: A social networking system builds a quality controlled and desired population-representative pool of human raters to provide ratings on content items to improve a feed ranking model used for providing its users with more relevant content. The system identifies a pool of candidate human raters for providing ratings on a feed of content items. For each candidate human rater of the pool of candidate human raters, the system presents a feed of content items based on a feed ranking model, obtains ratings on the feed of content items, and determines a score representing the consistency of the obtained ratings, the representativeness of the pool of human raters, or the relevance of the content provided by the ranking model. The system uses the computed scores to modify the ranking model used to present content to its users for improving the relevance of the presented content.

Abstract: Embodiments provide techniques, including systems and methods, for improving the accuracy of location information for requestor and provider devices in an dynamic transportation matching system using local communications between computing devices. For example, embodiments allow a provider computing device to identify, pair, and/or communicate with a requestor computing device upon arrival near a request location for a ride matching request. The provider computing device may use signal strength measurements associated with signals received from the requestor computing device to identify a proximity to the requestor computing device and/or to triangulate an accurate location of the requestor computing device. Additionally, the provider computing device may use a combination of the location reported by the ride matching system and the signal strength of the paired connection to identify the location of the requestor computing device.

Abstract: Systems and methods of utilizing employee recognition programs to maximize employee return on investment. To maximize the employee return on investment effect of the available recognition products at a desired cost to the employer, systems and methods rank recognition categories and/or products, prescribing the top category and/or product or the top categories and/or products that will be beneficial in optimizing employee return on investment of an organization. The systems and methods for prescribing the category and/or product or categories and/or products can provide an estimate of how employee return on investment will be impacted by the prescribed recognition.

Abstract: A method includes receiving target data for a paving project corresponding to a work period. The method also includes receiving sensor data from one or more components associated with the paving project, determining a progress value representing progress of the one or more components of the paving project, and determining a threshold progress value for a time period, the time period having a duration that is less than a duration of a work period. The method further includes determining that the progress value is less than the threshold progress value, generating at least one of an alarm or a recommendation, and sending the alarm or the recommendation to an electronic device.

Abstract: A method, system and computer program product for detecting business anomalies. Enterprise data as well as compliance rules (e.g., business operational rules) are analyzed to identify entities and concepts to be placed in an ontology. The identified entities and concepts are represented as multi-dimensional vectors. The updates, movements and access to the enterprise data and compliance rules are tracked to determine parameters, such as information velocity, associated with at least some of the elements of the multi-dimensional vectors. The meaning from the enterprise data as well as from the data parameters is discerned. The discerned enterprise data and discerned data parameters are compared with the historical and/or projected utilization of the discerned enterprise data and discerned data parameters to identify any differences. Statistical analysis is then applied based on the enterprise data and the identified differences to generate a value corresponding to a prediction of a business anomaly.

Abstract: A method for predicting inventory availability, involving receiving a delivery order including a plurality of items and a delivery location, and identifying a warehouse for picking the plurality of items. The method retrieves a machine-learned model that predicts a probability that an item is available at the warehouse. The machine-learned model is trained, using machine learning, based in part on a plurality of datasets. The plurality of datasets include data describing items included in previous delivery orders, whether each item in each previous delivery order was picked, a warehouse associated with each previous delivery order, and a plurality of characteristics associated with each of the items. The method predicts the probability that one of the plurality of items in the delivery order is available at the warehouse, and generates an instruction to a picker based on the probability. An instruction is transmitted to a mobile device of the picker.

Abstract: Aspects of the invention include computer-implemented methods, computing systems and computer program products for calculating an active time on a software application with respect to a first work item. A computer-implemented method includes retrieving activity data from a software development application and a plurality of input signals generated by a peripheral device. The method further includes determining a causal relationship between the input data and any events described by the activity data. In response to a determination of a causal relationship, a first time interval is calculated between an initial signal and a final signal of the plurality of input signals. The first time interval is compared to an estimated time interval. A schedule of a second work item is determined based on the comparison, wherein the first time interval relates to a first work item.

Abstract: Embodiments of the present invention describe creating a monitoring package by integrating a personal information management system (PIMS) and a social network profile for a user. Embodiments comprise continuously monitoring e-mail messages, calendar entries, social media posts, and social media comments of the integrated PIMS and social network profile, collecting participant preference information and meeting data from the monitoring package, identifying an upcoming meeting for the user according to the meeting data, and determining a list of participants for the upcoming meeting based on conversation threads associated with the upcoming meeting collected from the monitoring package.

Abstract: Methods, systems, and devices for smart sensing using a security and automation system are described. One method may include monitoring a parameter of a resource associated with a structure, predicting a future change in condition associated with the parameter based on the monitoring, and performing a function using the security and automation system based on the predicting. In some examples, the resource may include a service or a product.

Abstract: An information providing method for providing a user who uses a device with information via a mobile owned by the user, the method generating the information to be provided to the user, in accordance with: lifestyle information obtained by a lifestyle information obtaining unit receiving the lifestyle information from the device used by the user, the lifestyle information being information on a state of operation of the device; and location information obtained by a location information obtaining unit receiving the location information indicating a location to which the user traveled.

Abstract: A machine learning system may monitor usage of network or hosted resources by users or employees, and may dynamically generate short or “micro” surveys for immediate presentation. These surveys may be aggregated and analyzed by the machine learning system, reducing delays of responses. As a result, engagement may be measured in real-time or near real-time, actionable insights generated, and responsive actions taken. The machine learning system may monitor various interactions of users or employees with a virtual or hosted environment or workspace, including connections to virtual machines, remote desktop applications, SaaS applications, web applications, or other such entities, as well as environmental characteristics such as network location and/or quality.

Abstract: Dynamic prioritization of an action item can include retrieving an electronically rendered text from one or more sampled text sources in response to recognizing a user-related task conveyed within the electronically rendered text. Dynamic prioritization of an action item can also include generating an action item corresponding to the user-related task and prioritizing the action item by assigning to the action item a priority computed based on one or more priority factors corresponding to the user-related task. Each of the one or more priority factors can be automatically selected from a collection of predetermined priority factors. Additionally, dynamic prioritization of an action item can include recomputing the priority assigned to the action item in response to a change in task-related circumstances, as determined based on other electronically rendered text.

Abstract: A method and system for creating an anonymous shopper panel based on multi-modal sensor data fusion. The anonymous shopper panel can serve as the same traditional shopper panel who reports their household information, such as household size, income level, demographics, etc., and their purchase history, yet without any voluntary participation. A configuration of vision sensors and mobile access points can be used to detect and track shoppers as they travel a retail environment. Fusion of those modalities can be used to form a trajectory. The trajectory data can then be associated with Point of Sale data to form a full set of shopper behavior data. Shopper behavior data for a particular visit can then be compared to data from previous shoppers' visits to determine if the shopper is a revisiting shopper. The shopper's data can then be aggregated for multiple visits to the retail location. The aggregated shopper data can be filtered using application-specific criteria to create an anonymous shopper panel.

Abstract: A method is provided for executing a business date driven application, such as a financial system or a banking application, in an open computing system environment. The method may include accessing a calendar control module to determine an operational mode of the application. The calendar control module is based at least in part on a Julian calendar and may include a Julian calendar day of year field, an application start command field, an application restart command field, and/or a business date indicator field. The method includes executing the business date driven application in accordance with the determined operational mode.

Abstract: Systems, methods, and software technology for enhancing calendars of interest is disclosed herein. In an implementation, a calendar of interest is added to an online calendar. The calendar of interest comprises a schedule of events and a rule set for adjusting the schedule of events. As the events occur in the online calendar, a record of participation by a user with respect to the events is identified. After each event has occurred, a determination is made whether to make an adjustment to the schedule of events based at least on the rule set for the calendar of interest and the record of participation by the user after the event. If so, the schedule of events is updated in the online calendar to reflect any adjustments.

Abstract: A method, system and computer program product for detecting business anomalies. Enterprise data as well as compliance rules (e.g., business operational rules) are analyzed to identify entities and concepts to be placed in an ontology. The identified entities and concepts are represented as multi-dimensional vectors. The updates, movements and access to the enterprise data and compliance rules are tracked to determine parameters, such as information velocity, associated with at least some of the elements of the multi-dimensional vectors. The meaning from the enterprise data as well as from the data parameters is discerned. The discerned enterprise data and discerned data parameters are compared with the historical and/or projected utilization of the discerned enterprise data and discerned data parameters to identify any differences. Statistical analysis is then applied based on the enterprise data and the identified differences to generate a value corresponding to a prediction of a business anomaly.

Abstract: An embodiment herein provides a blockchain configured crowdsourced initiatives exchange ecosystem that includes a plurality of computing terminals associated with respective plurality of innovators which serve as sources of initiatives identified as innovations and respective sub-innovations. The ecosystem includes a distributed trusted ledgers system, a computing device communicatively connected to the plurality of computing terminals and configured to access the plurality of computing terminals and monitor the innovations, and a processing circuit that includes an initiatives tracking device that tracks the innovations associated with the plurality of computing terminals. The processing circuit includes a central initiatives management device.