Abstract: A method to predict problematic actions in an organization, executed by a processing device, includes accessing stored employee-related data, such as at least one of emails, surveys, minutes, or records of conversations, identifying a subset of the employee-related data that is associated with an employee, and predicting, based on the subset of the employee-related data associated with the employee, at least one of a likelihood that the employee is engaged in an adverse relation with other employees or a likelihood that the employee is to resign from the organization within a period of time.

Abstract: Techniques for management of links related to public safety incidents within a window displayed in a graphical user interface are provided. Creation of a plurality of links associated with public safety incidents is monitored. When each of the links is shared is monitored. With whom each of the links is shared is monitored. The graphical user interface displays a list of the created links, the links created by an agency. User input selecting a created link from the list of created links is received. The graphical user interface, details about the link creation, the details including when the link that was created, the expiration date of the link, whom the link was shared with, and when the link was shared. The graphical user interface displays a control to alter the expiration date of the link, wherein a notification of media upload routed based, in part, on the expiration date.

Abstract: Systems and methods for determining and presenting a graphical user interface including template metrics are disclosed. Exemplary implementations may: manage templates for work unit records that define units of work managed, created, and/or assigned within a collaboration environment; create one or more first work unit records based on the first template; monitor the units of work created using the templates to determine template information; determine template metric values for template metrics associated with the templates based on the template information such that first template metric values for the template metrics associated with the first template are determined based on the first template information; and effectuate presentation of a graphical user interface including the templates and the template metric values for the template metrics associated with the templates.

Abstract: The present invention relates to systems and methods of determining quality compliance for a set of biological sample testing devices used with one or more test instruments at the point-of-care in a hospital or other location that delivers medical care. In particular, the systems and methods ensure that only biological sample testing devices that pass a quality assurance protocol are used for point-of-care testing.

Abstract: A salesperson may estimate his compensation in different hypothetical scenarios by inputting hypothetical sales data into a compensation estimation system. The compensation estimation system may compute the sales person's hypothetical compensation based on both actual sales data and the hypothetical sales data, thereby producing a “what if” outlook for the sales person. Significantly, the hypothetical sales data can be entered into and modified within the compensation estimation system without modifying or corrupting the actual sales data.

Abstract: Systems and methods for tuning a digital screen to provide high quality data are provided. Methods include determining a target level of participant data quality associated with accurate completion of an online survey, determining a participant screening threshold based on the target level of participant data quality, and adjusting a survey screen based on the participant screening threshold. Methods may achieve high data quality without sacrificing participant diversity. Methods may also include transmitting the survey screen to a computing device associated with a participant, and receiving a response of the participant to the survey screen on the computing device. When the response fails to achieve a predetermined threshold response, methods may include rejecting the participant from the survey.

Abstract: Event prediction system and method includes gathering data corresponding to multiple entities to derive multiple entity profiles. Next, a first subset of entity profiles is identified from the multiple entity profiles generated. The identification is done on the basis of characteristics associated with the entities. Subsequent to identification of the first subset of the entity profiles, a second subset of entity profiles is shortlisted. Here, the second subset of entity profiles shows highest probability of occurrence of the event. Further, a determination of a factor that may lead to occurrence of the event is done.

Abstract: A system includes one or more processors that are configured to receive data from one or more sensors, to determine whether one or more characteristics of a driver or an occupant indicate driving control of a vehicle should transfer from the driver based on the data, and to enable a remote operator to control operation of the vehicle in response to determining that the driving control should transfer from the driver.

Abstract: A ranking of customer service interactions sessions that may benefit from supervisor input is provided. The customer service interactions sessions involve a Customer Service Representative (CSR), engaged in a customer service interaction with a customer. First, customer service interaction sessions, at a contact center server, between the CSRs and the customers begin. Data streams from CSR computer(s) to customer computer(s) are sent. Other data streams from the customer computers are received. The data streams are analyzed by a supervisor recommendation engine. Based on the analysis, the supervisor recommendation engine generates a ranking of customer service interactions sessions that would benefit most from supervisor input.

Abstract: Some embodiments of the present invention include a method for creating, via a first user interface, at least one link in a performance summary to link to supporting information of an employee's work associated with the performance summary. The performance summary including the at least one link is then displayed via the first user interface. The method then detects, via the first user interface, when the at least one link in the performance summary is selected. Responsive to the at least one link being selected, the supporting information of the employee's work associated with the performance summary is displayed via the first user interface.

Abstract: A display system is disclosed. The display system includes a merchandise display and a platform. The platform has the merchandise display mounted upon it. The platform includes: a processor; a weighing element in communication with the processor; and a wireless communications device in communication with the processor, wherein the platform is operable to communicate information about the weight change of the merchandise display with an external system.

Abstract: The invention relates to a system for the data transfer and processing for the controlling of a rotor blade actuator, the system comprising: an adjusting device (2) that is arranged within the rotating system (10) of the helicopter, which is configured to provide at least one first rotor blade actuator (1); a first control system (3) that is arranged within the rotating system and that is coupled via signals (11) to the adjusting device (2); a first sensor (4) that is arranged within the rotating system (10) which is designed to detect at least one first control variable of the rotor blade actuator (1) in the time domain and to transmit this control variable in the time domain to the first control system (3) via a second signal-based coupling (12); wherein the first control system (3) is configured to receive the first control variable via the signal-based coupling (12), to determine at least one first control value in the time domain by using the received control variable in the time domain and by using a

Abstract: A user expertise classifying method, system, and computer program product, include analyzing an input by a user based on at least one of vocabulary, orthography, and grammar of the user input, processing user background data obtained from a database, and calculating an expertise score of the user based on the analyzed user input and the processed background data.

Abstract: A device may communicate with a first server to obtain first information regarding a particular entity. The device may communicate with a second server to obtain second information regarding a plurality of entities. The device may process the first information and the second information to generate one or more recommendations for the particular entity. The one or more recommendations including a recommendation may relate to the particular entity altering an attribute of the particular entity to match an attribute of one or more of the plurality of entities. The attribute may be associated with a threshold level of performance for the one or more of the plurality of entities. The device may generate a user interface including the one or more recommendations. The device may communicate with a client device to cause the user interface to be provided for display.

Abstract: Method and apparatus for monitoring collaboration parameters and maintaining user profiles using cognitive computing techniques are provided. The method includes receiving a domain for a first collaborative session, and retrieving a plurality of trait profiles associated with potential participants. The method further includes determining a subset of trait profiles based in part on comparing each respective trait profile with the rest of the trait profiles, and providing the subset of trait profiles. Additionally, the method includes receiving an indication that the subset of trait profiles is acceptable, and a request to initiate the first collaborative session with participants corresponding to the subset of trait profiles.

Abstract: Systems and methods for tuning a digital screen to provide high quality data are provided. Methods include determining a target level of participant data quality associated with accurate completion of an online survey, determining a participant screening threshold based on the target level of participant data quality, and adjusting a survey screen based on the participant screening threshold. Methods may achieve high data quality without sacrificing participant diversity. Methods may also include transmitting the survey screen to a computing device associated with a participant, and receiving a response of the participant to the survey screen on the computing device. When the response fails to achieve a predetermined threshold response, methods may include rejecting the participant from the survey.

Abstract: A system comprises a database stored on a server and a processing device in communication with a user device accessible to a user. The processing device includes: a hosting module configured to generate and display a web-based application on a user device; a communications module configured to enable the user to access and interact with the web-based application on the user device; a matter administration module configured to maintain a plurality of matter data associated with a matter stored in the database; a custodian administration module configured to maintain a plurality of custodian data stored in the database; an evidence administration module to maintain a plurality of evidence data stored in the database; an interview building module to allow the user to prepare at least one custom interview based on the plurality of matter data.

Abstract: A device receives occupational activity descriptions and occupational role attributes, and processes the occupational activity descriptions to generate estimated occupational activity attribute values. The device trains a neural network model based on the estimated occupational activity attribute values to generate a trained neural network model, and receives a new activity description for a new role in an organization. The device processes the new activity description, with the trained neural network model, to generate estimated new activity attribute values, and processes the estimated new activity attribute values, with the logistic regression model, to generate probabilities that the new role is suitable for different workforce types. The device determines a workforce recommendation for the new role based on the probabilities that the new role is suitable for the different workforce types.

Abstract: Method and system for evaluating the performance of a reader of screening mammograms. According to one embodiment, the system includes a performance evaluator that is in electronic communication with both one or more readers of screening mammograms and one or more supervisors. The performance evaluator is configured to collect information from each reader as to whether a recall request is a bilateral or unilateral recall request and, if a unilateral recall request, is for a left breast or right breast. In addition, the performance evaluator is designed to use such information to assess the performance of one or more readers by comparing the observed bilateral recall request rate to a standard bilateral recall request rate and/or by comparing the numbers of left breast recall requests and right breast recall requests to expected numbers of the same. The performance assessment is then available for electronic retrieval by any authorized supervisor.

Abstract: A system for building computational models of a goal-driven task from demonstration is disclosed. A task recording subsystem receives a recorded video file or recorded sensor data representative of an expert demonstration for a task. An instructor authoring tool generates one or more sub-activity proposals; enables an instructor to specify one or more sub-activity labels upon modification of the one or more sub-activity proposals into one or more sub-tasks. A task learning subsystem learns the one or more sub-tasks represented in the demonstration of the task; builds an activity model to predict and locate the task being performed in the recorded video file. A task evaluation subsystem evaluates a live video representative of the task; generates at least one performance description statistics; identifies a type of activity step executed by the one or more actors; provides an activity guidance feedback in real-time to the one or more actors.

Abstract: A multi-user software-implemented audio collaboration method allows a track producing user, at least one recording artist, and public listening users to produce, collaborate, and consume unique musical compositions with no fees and costs. The method allows the track producing user and recording artist user to collaborate on the production of a unique musical composition, and then store the musical composition as a working digital audio file on an administrator server. The method also allows public listening users to consume the musical composition for free by viewing a third-party advertisement to accumulate viewing credits. The public listening users convert the viewing credits to access the musical composition for storage in a personal musical library. The track producing user and the recording artist user receive a creator credit when the public listening users stores the musical composition in the music library. All the users communicate with each other through messaging.

Abstract: A method and system for evaluating and sharing user-generated media files have been disclosed. The method and system is embodied in a contest/festival that entices visitors to return to the site to vote on their favorite videos by providing a plurality of phases in which the best performing media files are promoted based on voting scores. According to one embodiment, a computer implemented method comprises generating scores for each media file in four phases and calculating the total score for each of the four phases. The scores are calculated based on the number of views and votes from users for each media file. The votes are generated using questions, percentage of video viewed, comments, social distribution, and recommendations.

Abstract: The present invention provides a method, a system, and a computer program product of determining tasks of a project and determining personality traits of the tasks. In an embodiment, the method, the system, and the computer program product include in response to receiving a set of data for a current project, generating, by one or more processors, a set of one or more current tasks for the current project based on at least a first machine learning associated with one or more preexisting projects, generating a set of one or more personality traits for a current task in the set of one or more current tasks based on at least a second machine learning associated with one or more preexisting tasks, and compiling the set of one or more current tasks and the set of one or more personality traits into one or more current task profiles.

Abstract: Embodiments of the present disclosure provide method, device and computer product for predicting disk failure. The method disclosed herein comprising: obtaining operation data of a disk, each data item of the operation data indicating values for one or more attributes of the disk at an associated time point; identifying null values for the one or more attributes from the data items of the operation data; adjusting the operation data based at least on the identifying of the null values; and processing the adjusted operation data with a machine learning model, to obtain a failure prediction on whether the disk will fail within a predetermined time period after the associated time point.

Abstract: This disclosure relates to modeling an Agile team structure such that it aligns with Agile principles, achieve synergy and deliver intended business benefits. Current approach to modelling depends on unproven manually arrived patterns that do not predict benefits, are based on limited number of experts utilizing heuristics from personal experience. Once a working model is derived, it is refined over time which is a slow process with no verification of its effectiveness. In accordance with the present disclosure, scalable and customizable location independent Agile delivery models can be generated using a palette based user interface such that constraints are optimized. A pre-configured meta-model is chosen and the location independent model is generated given the constraints. A compliance indicator provides a degree of compliance with the Agile principles. The model is then evaluated using machine learning models that have been trained by leveraging a knowledge base of successfully implemented Agile models.

Abstract: A system is disclosed to increase productivity and morale by delegating clearly defined tasks and rewarding timely completion of tasks positively with points/scores/advancements, which is constructive and transparent. In some embodiments, the system creates a rewarding, friendly competitive, and fun environment and culture to encourage timely completion of tasks with constructive, transparent feedback.

Abstract: An operation analysis apparatus includes: an acquisition unit configured to acquire a plurality of pieces of operation information indicating operations of a plurality of persons to be analyzed; a classification unit configured to classify the plurality of pieces of operation information into a plurality of groups; and an analysis unit configured to analyze the operations of the persons to be analyzed based on the pieces of operation information that have been classified into the plurality of groups. The plurality of pieces of operation information each include skeleton information that indicates positions of a plurality of body parts that are associated with the skeleton of each of the plurality of persons to be analyzed, and the classification unit classifies the plurality of pieces of operation information using the skeleton information included in the operation information.

Abstract: A computerized method is provided for automatically identifying a set of historical issues derived from historical customer interactions with an enterprise. The method includes collecting text-based data corresponding to the historical customer interactions, extracting customer queries from the text-based data, and normalizing and filtering the customer queries to generate the set of historical issues of the customer queries. The method also includes assigning the historical issues to one or more clusters that capture variances among the historical issues. The method further includes generating a legitimacy score for each historical issue and ranking the set of historical issues in accordance with their corresponding legitimacy scores. The method can further include identifying one or more issues in a transcript of unstructured text using the set of historical issues.

Abstract: Methods, computer program products, and systems are presented. The method computer program products, and systems can include, for instance: parameterizing with training data one or more model that expresses, for a set of historical activities, a known outcome as a function of a plurality of factors, the plurality of factors including one or more activity factor and a worker factor; solving the one or more model to learn by machine learning values of the worker random effect vector associated to the set of historical activities, wherein the values of the worker random effect vector provide an indication of learned worker skill level for respective workers identified by the worker identifiers; and providing, by the one or more processor, one or more output based on the solving.

Abstract: A method includes: receiving, by a processor, an evaluation form including a plurality of evaluation questions; receiving, by the processor, an interaction to be evaluated by the evaluation form; selecting, by the processor, an evaluation question of the evaluation form, the evaluation question including a rule associated with one or more topics, each of the topics including one or more words or phrases; searching, by the processor, the interaction for the one or more topics of the rule in accordance with the presence of one or more words or phrases in the interaction to generate a search result; calculating, by the processor, an answer to the evaluation question in accordance with the rule and the search result; and outputting, by the processor, the calculated answer to the evaluation question of the evaluation form.

Abstract: A matched array technology system and method for displaying in a two-dimensional array the interactions between management and a plurality of employees in an organization. Axes contain proxy values of employee and manager expectations scaled to yield a matched array and an alignment vector containing cells where employee and manager expectations are equivalent. A scatter plot of multiple employee positions portrays the pattern of talent alignment and distribution, representing the talent architecture for the organization. The talent architecture is characterized by multiple static and dynamic metrics that identify normative opportunities to improve organization alignment, and measure organization talent management performance.

Abstract: The present disclosure relates to methods, systems, and storage media for identifying node hierarchies and connections using electronic activities. The method may include maintaining node profiles corresponding to unique entities; selecting electronic activities linked to both a first node profile and a second node profile of the plurality of node profiles; generating for each electronic activity of the plurality of electronic activities, a relevancy score based on a respective time at which the electronic activity was transmitted or received; generating a connection profile for a connection between the first node profile and the second node profile based on the respective relevancy score of each electronic activity and storing in a data structure, an association between the connection profile, the first node profile, and the second node profile.

Abstract: A manual call point with an e-paper display is described herein. One device includes an e-paper display configured to display an image that represents a status of the manual call point, a memory, and a processor configured to execute executable instructions stored in the memory to determine a change in the status of the manual call point, and change the image displayed by the e-paper display in response to the determination that there is a change in the status of the manual call point.

Abstract: A method and a system are provided for auto-allocation of one or more tasks to one or more resources of an organization. The method includes receiving one or more requests from a requestor computing device associated with the organization over a communication network. The one or more requests may include at least one or more first attributes of the one or more tasks and one or more pre-defined constraints. The method further includes extracting one or more second attributes associated with the one or more resources based on at least the one or more first attributes of the one or more tasks. The method further includes determining an allocation of the one or more tasks to the one or more resources based on at least the one or more first attributes and the one or more second attributes, such that the one or more predefined constraints are satisfied.

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program. The program receives from a client device a request for contacts to use to initiate communications for a product. The program further identifies a set of contacts associated with a user of the client device. The program also determines a subset of the set of contacts associated with the user based on data associated with the product. The program further provides the client device the subset of the set of contacts associated with the user as candidates for initiating communications for the product.

Abstract: A bank of available remote human vehicle operators receives service requests to assume control of an automated vehicle via a service queue. The service queue triages remote vehicle control requests based on factors including skill level of available human vehicle operators, urgency of service requests, capabilities of available human vehicle operators, etc. Additional human vehicle operators may join a control session of an automated vehicle as observers and/or assistants to a controlling human vehicle operator. Human vehicle operators may be triaged among ongoing vehicle control sessions depending on the completion of vehicle control tasks and/or emergence of new requests from other automatic vehicles. Automatic vehicles may make service requests to the bank of available remote human vehicle operators including requested capabilities or operator skills based on data sensed regarding the environment of the vehicle.

Abstract: Systems and methods of processing items. Items in a distribution network or process may be scanned at every handling point in the distribution network, and each scan is recorded in a central repository. The scan information can be used to generate real-time access to data, analytical tools, predictive tools, and tracking reports.

Abstract: Systems and methods for query term weighting are disclosed. A server receives a search query for employment candidates, the search query comprising a set of parameters, each parameter having a weight. The server generates, from a data repository storing records associated with professionals, a first set of search results based on the set of parameters and the weights of the parameters in the set. The server transmits the first set of search results. The server receives a response to search result(s) from the first set of search results, the search result(s) being associated with a set of factors, the response indicating a level of interest in the search result(s). The server adjusts the parameters in the set of parameters or adjusts the weights of the parameters based on the response to the search result(s). The server provides an output based on the adjusted parameters or the adjusted weights.

Abstract: A cloud device, a terminal device, and an image classification system and method includes the terminal reading an image to be classified; transmitting an instruction of image classification to the cloud device; determining whether the instruction of image classification comprises an intermediate operation result of the first partial operation; performing the second partial operation to obtain an image classification result, when the instruction of image classification comprises intermediate operation result of the first partial operation; and transmitting the image classification result to the terminal device; performing the first partial operation to obtain the intermediate operation result, when the intermediate operation result is not contained in the instruction of image classification; transmitting the intermediate operation result to the terminal device; and performing the second partial operation to obtain an image classification result.

Abstract: Described herein are various technologies pertaining to facilitating digital rights management of patient healthcare records. A computing system executing an electronic health records application (EHR) receives an attribute of a healthcare worker and a patient identifier from a client computing device. The computing system retrieves a computer-readable file for the patient, the computer-readable file comprising a plurality of file records and a file access portion. A file record in the plurality of file records comprises a data portion and an access portion. The computing system transmits data in the data portion to the client computing device only when both the file access portion of the computer-readable file and the access portion of the file record include the attribute of the healthcare worker.

Abstract: A method of workforce optimization includes acquiring video data. The video data is obtained from a plurality of video cameras in a facility comprising a plurality of departments. A customer load for each of the plurality of departments is identified. A location of each of a plurality of employees in the facility is identified. A customer-to-employee ratio is determined for each department. The determined customer-to-employee ratio for each department is provided to a computing device. At least one employee deployment notification is provided from the computing device to another computing device.

Abstract: This disclosure relates generally to performance appraisal management, and more particularly to standardization of goals associated with performance appraisal. In one embodiment, a method for standardization of goals includes identifying labeled and unlabeled goals associated with a role. The goals includes template and manually created goals. Each of the template goals is associated with a class label, and includes corresponding goal description and self-comments. First and second classifiers are trained using goal description and self-comments. Candidate negative goals are identified and excluded from the goals to obtain a set of unlabeled goals. The set of unlabeled goals are classified by the first and second classifier, and a confidence score associated with the classification is determined. The unlabeled goals with high confidence score are added to labeled goals to obtain an updated set of labeled goals. The first and second classifiers are iteratively co-trained using the updated set of labeled goals.

Abstract: Intraday alert volume adjustments based on risk parameters is provided. Users may be assigned risk levels, which may be determined based on historical information. An event associated with the user may be prioritized in relation to other events received by the user or by other users. The prioritization may be events received during a predetermined time range, or until an event has been pending for longer than a predetermined interval. The various events are output according to their relative rankings, which may indicate a descending order of risk level. As newly received events are received, they may be dynamically ranked in relationship to the previously received events that have not expired.

Abstract: Novel systems and methods for interacting with a client device are described. The network-based systems and methods of the present teachings are capable of seeking feedback regarding individual performance and seeking information relating to work deliverable, such as assigning individuals tasks, conveying a “to-do list,” sharing an agenda between two or more users and managing goals of teams and/or individuals.

Abstract: A method, a system, and a non-transitory computer readable program code are disclosed for authenticating users for services. The method includes registering one or more users in an authentication system; assigning a score index to each of the one or more users in the authentication system for one or more services, the score index representing a security level and corresponding authentication required to access each of the one or more services; inputting each request for services from the one or more users into the authentication system to continuously update the score index for each of the one or more users, each of the requests including one or more authenticators or biometric identifiers for the requested service; and requesting the one or more users to register one or more additional authenticators or biometric identifiers with the authentication system upon the score index for a user reaching of a predefined threshold value.

Abstract: Systems and methods are described for tracking information of an equipment including a telematics device configured to receive data from the equipment to determine a telematics information. The telematics information includes at least two of an equipment type, a location, a duration in the location, and miles traveled. A transmission device is configured to transmit the vehicle telematics information to at least one of a third party entity device, a government device and a mobile device.

Abstract: Aspects of the disclosure relate to intelligent database control systems for performing automated request assessments. In one embodiment, a computing device may receive, via a communication interface, a database request from a user computing device. The computing device may generate a legitimacy score associated with the database request based on one or more predetermined definitions. If the legitimacy score is above a predetermined threshold, the computing device may format the database request based on one or more of the predetermined definitions and the legitimacy score and command, via the communication interface, one or more databases to execute the database request. The computing device may format result set generated from the executed database request and transmit, via the communication interface, the formatted result set to the user computing device.

Abstract: Techniques for configuring and validating a data pipeline system deployment are described. In an embodiment, a template is a file or data object that describes a package of related jobs. For example, a template may describe a set of jobs necessary for deduplication of data records or a set of jobs performing machine learning on a set of data records. The template can be defined in a file, such as a JSON blob or XML file. For each job specified in the template, the template may identify a set of dataset dependencies that are needed as input for the processing of that job. For each job specified in the template, the template may further identify a set of configuration parameters needed for deployment of the job. In an embodiment, a server uses the template and the configuration parameter values collected via the GUI to generate code for the package of jobs. The code may be stored in a version control system. In an embodiment, the code may be compiled, executed, and deployed to a server for processing the data.

Abstract: Methods and apparatuses are described for coordinated scaling of a cloud-based software application and a backend resource in a networked computing environment. A server captures resource usage metrics associated with cloud-based applications. The server captures resource usage metrics associated with backend resources that correspond to the cloud-based applications. The server aggregates the resource usage metrics to generate a set of integrated application-level resource usage metrics. The server determines a current resource consumption level based upon the integrated application-level resource usage metrics for the cloud-based software application. The server compares the current resource consumption level to a desired resource consumption level. The server computing device changes resource availability for the cloud-based software application, based upon a difference between the current resource consumption level and the desired resource consumption level.

Abstract: A method and system for evaluating and sharing user-generated media files have been disclosed. The method and system is embodied in a contest/festival that entices visitors to return to the site to vote on their favorite videos by providing a plurality of phases in which the best performing media files are promoted based on voting scores. According to one embodiment, a computer implemented method comprises generating scores for each media file in four phases and calculating the total score for each of the four phases. The scores are calculated based on the number of views and votes from users for each media file. The votes are generated using questions, percentage of video viewed, comments, social distribution, and recommendations.