Abstract: In some examples, user journey carbon footprint reduction may include generating, for a vehicle associated with a user, a carbon emission quota for user journey carbon footprint reduction. A predicted journey carbon emissions may be generated for the vehicle for a specified journey. Based on collaborative filtering, at least one goal-based and conditions-based recommendation may be generated for the user of the vehicle for the specified journey for the user journey carbon footprint reduction. Based on a user behavior model, a user-interface display may be generated for the specified journey for the user journey carbon footprint reduction. Further, based on the user behavior model, and real-time monitoring of the user and the vehicle, a real-time update of the user-interface display may be generated for the specified journey for the user journey carbon footprint reduction.

Abstract: Method and system for evaluating, rewarding and facilitating philanthropic works are described. Ethical accounts and points are introduced and computer-implemented fair evaluations of, and hence interchangeable rewards for, various philanthropic works that reflect different time values are provided. Automatic calculation and distribution of rewarding points from a beneficiary to not only its benefactor but also the benefactor' precious benefactors are implemented to encourage sustainable philanthropy over time. Rewarding amounts and paths are tracked explicitly for impact measurement of philanthropic works, which may be used to facilitate more effective allocation of philanthropic resources. Volunteer requesting, applying and rewarding at the level of minimum durations are enabled, and automated coordination and documentation are offered to further facilitate philanthropic endeavors.

Abstract: Embodiments include a computer implemented method for automatically identifying an issue from a help message received via a chat interface and generating a response for responding to the help message. The method can include receiving one or more response templates that each include a reference to a resource associated with a help topic. The method can also include receiving, from a second user, a help request via the chat interface of a help channel. In response to receiving the help request the method can include parsing the help request to identify a help topic, generating a help desk ticket associated with the help request and generating a response message that includes an information resource associated with the help topic, and sending the response message to the user. In response to the user viewing the information resource and selecting a user interface element, the method can include automatically closing the help desk ticket.

Abstract: Systems and methods for visually displaying instances of increased susceptibility for commission of medical errors are provided. Execution of programming instructions on a computer-readable medium causes a processor to retrieve historical workload data corresponding to environmental conditions experienced by and near misses associated with an individual or team of individuals during a first period of time from one or more data repositories. Retrieved workload data is processed to establish threshold limits for distinct working conditions represented within the workload data for the individual or team of individuals. Workload data corresponding to a second period of time is retrieved for the individual or team of individuals and compared to established threshold limits by the processor. Based on the comparison, the processor generates one or more displayable indicia indicative of the individual's or team of individuals' risk of committing a medical error due to an experienced workload.

Abstract: A system associated with determining physician attribution related to in-patient care based at least on prediction of attribution values associated with patient-physician attribution is disclosed. The system extracts clinical data associated with a patient from a first database, with the extracted clinical data comprising clinical information related to the patient and the clinical information including vector values indicative of clinical progress of the patient at various stages of treatment. The system stores the extracted clinical data in a second database and determines attribution values using the attribution manager with the attribution values being based on a predictive analysis using predetermined weights associated with the vector values. A training data set is generated based on learned weight values associated with the clinical progress of the patient. The system iteratively updates the vector values of the patient at least using a predictive analysis associated with the training data set.

Abstract: Described are approaches for assigning tasks between machine resources (e.g., AI task performers, AI task validators), human resources (e.g., task performers, task validators), and/or other smart systems to facilitate collaborative text detection, text recognition, and text retrieval in order to optimize system performance along a variety of different selection criteria specifying various performant dimensions, including, but not limited to improving system efficiency, reducing task performer and/or task validator idle time, improving triage outcomes, reducing data processing loads, maintaining client confidentiality, etc., that may be associated with one or more customers.

Abstract: Technologies and techniques for operating a resource management system for medical software applications. Profile parameters of a first health care facility are received and processed to select one of a plurality stored profile data that contain profile parameters having a threshold similarity to the profile parameters for the first health care facility. A system resource manager loads resource management data associated with the selected profile data, wherein the resource management data comprises data relating to capabilities and capacities of the health care facility associated with the selected profile data. A systems intelligence manager performs predictive processing on the resource management data of the selected profile data to determine via simulation if the resource management data meets a threshold. The resource management data of the selected profile data is transmitted to the first health care facility for execution in the resource management software and updated using feedback data.

Abstract: First and second target controllers implemented in a storage system are associated with respective first and second storage pools having respective first and second service level objectives. Input-output (IO) operations are received from one or more host devices and processed in the storage system, with different ones of the IO operations being directed from one or more initiators of the one or more host devices to different ones of the first and second target controllers. Separate feedback information is provided from the storage system to the one or more host devices for respective ones of the first and second target controllers, so as to permit different amounts of throttling of additional IO operations in the one or more host devices based at least in part on whether those additional IO operations are to be directed to the first target controller or the second target controller.

Abstract: A method and system for assessing a career profile of a candidate is disclosed. The system comprises a database configured to include a plurality of parameters and a plurality of scores respective to each parameter, a parser configured to parse the career profile to identify at least one parameter from the plurality of parameters within the career profile and an analytics engine configured to retrieve a score from the plurality of scores for the at least one parameter identified within the career profile, compute a score of at least one category based on the retrieved score, wherein the at least one category comprises the at least one parameter identified within the career profile, and provide feedback to the candidate on the career profile in accordance with the computed score of the at least one category.

Abstract: A controller is configured to set a stopping order of a plurality of vehicles, which indicates the vehicle order at a stop location in a stopping area. The controller is further configured to estimate an arrival order, which indicates the order in which the plurality of vehicles arrive at a prescribed location, based on position information of the plurality of vehicles. The controller is further configured to determine whether the arrival order differs from the stopping order The controller is further configured to control the travel of at least one vehicle from among the plurality of vehicles upon determining that the arrival order differs from the stopping order, such that the arrival order is the same as the stopping order by a time the plurality of vehicles arrive at the prescribed location.

Abstract: In some embodiments, status scores representing the status of an entity at various times are determined. Classifiers may be used to translate the status scores into status levels, and visual representations of the progression of the entity's status levels over time may be generated. In some embodiments, predictive models are used to detect outlying events and entities based on the status scores. Some predictive models may be used to predict whether an entity is an outlying candidate for a transition from one state to another state. Other predictive models may be used to predict whether an entity is an outlier relative to a group of other entities.

Abstract: A computer-implemented system for job matching of candidates and vacancies, comprises: a candidate memory storing data of at least one candidate profile associated with a respective candidate and consisting of a plurality of different candidate categories, wherein each candidate category comprises candidate category data associated with the candidate; and a vacancy memory storing data of at least one vacancy profile associated with a respective vacancy and consisting of a plurality of different vacancy categories, wherein each vacancy category comprises vacancy category data associated with the vacancy. A matching module is configured to receive the at least one candidate profile, receive the at least one vacancy profile, determine at least one similarity score between the at least one candidate profile and the at least one vacancy profile, and determine a job matching result based on the at least one similarity score. An information module is configured to communicate the job matching result to a user.

Abstract: A method of centralized monitoring management at a centralized monitoring unit (CMU) includes receiving patient monitoring data from multiple patient monitoring devices, each providing patient monitoring data for one of multiple patients, and assigning each of the multiple patients to one of at least two monitoring technician stations. Each monitoring technician station is configured to receive and display patient monitoring data the patients assigned thereto and to present alarms for each patient to a CMU technician. A load index is calculated for each monitoring technician station based on the alarms for each patient in the group of patients assigned to that monitoring technician station. At least one patient is removed from the group of patients assigned to a first monitoring technician station of the at least two monitoring technician stations based on the load index for the first monitoring technician station.

Abstract: Techniques performed by a data processing system for matching a customer service ambassador (CSA) with a customer include receiving a service request for technical assistance from the customer, analyzing estimated working hours information for the customer and estimated working hours information for each of the plurality of CSAs to produce a compatibility score for each CSA, the compatibility score for a respective one of the CSAs providing an indication of how closely the working hours of the customer and of the respective one of the CSAs align, reordering an available CSA queue identifying the plurality of CSAs based on the compatibility scores of each of the CSAs, and selecting a CSA from the queue to provide technical assistance to the customer.

Abstract: Systems and methods presented herein provide a server that receives a service request from a user device. The server matches the service request against one or more technician profiles. Then the server sends a message to a corresponding technician device to accept the service request and starts an acceptance timer. If the technician accepts, the server sends a control application to the user device for installation. The user can enter a PIN received from the server into the control application, which then shares control of the user device with the technician device. The technician device can cancel the service request during a grace period. Otherwise, the technician must complete the service request. The control application can notify the server whether the service request was completed, and the server can update a score in the technician profile accordingly.

Abstract: The disclosure herein describes an emotional insight management system that provides user-configured prompts and insights to the user. In some examples, an insights application provides personalized, recurring prompts to encourage users to provide current emotional state updates to a well-being journal. The user's responses over time are aggregated within a historical trends report, which provides emotional response data over time. The insights application generates insights into potential reasons for the user's emotional states on a given day. The system analyzes the user-provided emotion response data with integrated work-related data to identify reasons for the user's mood and make recommendations for actions to be taken by users to reduce stress and improve the user's emotional well-being.

Abstract: An apparatus and method for evaluating assignments. The processor receives assignment data generated by an inner circle member and inner circle data relating to the inner circle member. The processor determines a cohort for the inner circle member based on the inner circle data. The processor generates an action for the assignment based on the assignment and the cohort.

Abstract: Systems, methods, and apparatus for machine learning task compartmentalization and classification are disclosed. An example method comprises receiving, from a first computing device, user defined parameters associated with at least one user, receiving, from a second computing device different from the first computing device, auxiliary data associated with the at least one user, generating, by a third computing device, at least one work profile based on the received user defined parameters and auxiliary data, and determining, by the third computing device, an affinity between a task component and the generated at least one work profile.

Abstract: Techniques for mining training data for use in training a dependency model are disclosed herein. In some embodiments, a computer-implemented method comprises: obtaining training data comprising a plurality of reference skill pairs, each reference skill pair comprising a corresponding first reference skill and a corresponding second reference skill, the plurality of reference skill pairs being included in the training data based on a co-occurrence of the corresponding first and second reference skills for each reference skill pair in the plurality of reference skill pairs, the co-occurrence comprising the corresponding first and second reference skills co-occurring for a same entity; and training a dependency model with a machine learning algorithm using the training data, the dependency model comprising a logistic regression model or a data gradient boosted decision tree (GBDT) model. The dependency model may then be used to identify corresponding dependency relations for a plurality of target skill pairs.

Abstract: A method for building an artificial intelligence (AI) model. The method includes accessing data related to monitored behavior of a user. The data is classified, wherein the classes include an objective data class identifying data relevant to a group of users including the user, and a subjective data class identifying data that is specific to the user. Objective data is accessed and relates to monitored behavior of a plurality of users including the user. The method includes providing as a first set of inputs into a deep learning engine performing AI the objective data and the subjective data of the user, and a plurality of objective data of the plurality of users. The method includes determining a plurality of learned patterns predicting user behavior when responding to the first set of inputs. The method includes building a local AI model of the user including the plurality of learned patterns.

Abstract: Predicting psychometric attributes and relevant skills for a first job position includes generation of predictor models based on test data of tests users. The test data includes resumes of the test users, job descriptions of job positions of the test users, historical data of the test users, and answers provided by the test users to psychometric questions. The predictor models are then used to predict the psychometric attributes and the relevant skills based on target data, which is a first job description of the first job position.

Abstract: A system includes a data storage medium to store a plurality of user profiles and at least one work project, each of the work project including at least one task that is characterized by a task definition, and a processor to receive a request for work from a user, the processor including a task management engine to allocate the at least one task to the user based on the user profile and the task definition in response to the request for work.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for dynamically modeling a page using dynamic data. One of the methods includes receiving a first dynamic input request with corresponding contextual inputs comprising data characterizing a single dynamic first event of a main task; generating, in response to the first dynamic input request, a dynamic smart interface responding to the contextual inputs; generating, in response to the first dynamic input request, a model comprising a single shared dynamic control load and dynamic data load responding to the contextual inputs; receiving a second dynamic input request comprising data characterizing a single dynamic final event of the main task; triggering, in response to the second dynamic input request, a dynamic process comprising a rule monitor, a smart task generator, and a smart contract; and presenting, to a user in response to the second dynamic input request, dynamic rule options.

Abstract: A system for rush order fulfilment optimization is discussed. The system includes mobile devices that are each associated with a worker and a rush fulfillment engine executed by a computing system which dynamically updates a task queue of each worker upon receipt of a new rush order according to a task completion rate difference between an estimated task completion rate and the current task completion rate of the worker.

Abstract: A system for shift design and assignment comprises an interface configured to receive scheduling input data which includes labor demand data, worker data, and scheduling configuration data, and a processor configured to generate a set of shift candidates, determine a set of decision variables, determine a cost function, determine a set of constraints, and determine simultaneously, using a SAT, a MP solver, or a MIP solver, a subset of the shift candidates selected in a final schedule and a set of shift assignments of which worker is assigned to which selected shift candidate of the subset of the shift candidates such that the hard constraints are fully respected, violations to the soft constraints are minimized, and the cost function is minimized.

Abstract: A method and system identifies interactions of a user with one or more medical devices, determines, based on the one or more interactions and a predetermined set of rules, a compliance score associated with the first user, in response to the compliance score not satisfying a threshold compliance score, and reducing an access level of the user to at least one of the one or more medical devices and generates a training program associated with the at least one medical device and the one or more interactions, and automatically, without user involvement, sends a training package associated with the training program to the user and notifies the user to complete the training program using the training package. The system and method also generates a new shift schedule for clinicians responsive to a first shift schedule not satisfying criteria and the clinicians not satisfying respective performance scores.

Abstract: Embodiments of the present invention provide a computer system a computer program product, and a method that comprises, in response to receiving a request for a task to be performed, optimizing configured operational parameters based on prioritized user parameters and environmental details associated with the task; calculating a value of the task based, at least in part, the optimized configured parameters, environmental details associated with the task, and prioritized user parameters; and performing the task based on the optimized, configured parameters and calculated value.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for dynamically modeling a page using dynamic data. One of the methods includes obtaining, from a user device associated with a first resource, a dynamic final event comprising data representing a transaction; generating, using the data representing the transaction, a task chain for a plurality of tasks, wherein generating the task chain comprises: executing a geolocation task to determine a respective geolocation of one or more resources; and determining, using the respective geolocation of the one or more resources, one or more parameters for executing each task, comprising assigning a particular resource of the dynamic modeling to a particular task according to the geolocation of the particular resource; and for each task of the plurality of tasks, executing the task according to the determined parameters of the task.

Abstract: A reminder system is provided. The system provides a user-friendly interface to a user's existing email, and in some embodiments to the user's document management, calendar and other systems, in order to ensure that an appropriate user is notified when action should be taken, and also provides notation to the user indicating the appropriate course of action to be taken. The system provides a calendaring feature where a supervisor or manager can determine the workload of a group of workers for an upcoming time period. The system provides an easily accessible and traceable database of information pertaining to a project checklist, document, a client name, a client matter number, a document type, or other customizable fields in order for a user to search and sort the information for their own use.

Abstract: An estimation device according to the present application includes an acquiring unit and an estimation unit. The acquiring unit acquires user relationship information indicating a similarity relationship between a plurality of users. The estimation unit estimates, based on feeling information on a similar user who is similar to one of the users in the user relationship information acquired by the acquiring unit, a feeling of the one of the users.

Abstract: Methods and systems for assembling remote students in an online academic environment are provided. The method includes a use of the system to filter a subpopulation from a population stored in a database, the population including students in the self-paced, online environment. The subpopulation can be selected to meet a first set of criteria for a grouping of students for a group interaction. Additional criteria can be added to provide control over the selection of students for the subpopulation and, thus, control over the design of groups to provide a desired group profile for the group interaction. The methods and systems provided can align and group students of the self-paced, online environment for a group interaction, as well as electronically proctor and otherwise monitor and control the interaction.

Abstract: In some examples, a system may include a memory resource storing instructions, and one or more processors. In various examples the one or more processors may be configured to execute the instructions to receive data indicating that an order has been dropped by a driver of a first computing system. The order may include a set of order parameters that may include a first order parameter and a second order parameter. Additionally, the one or more processors may be configured to execute the instructions to determine a remaining delivery time period based at least a time when the order was dropped and the first order parameter. Moreover, the one or more processors may be configured to execute the instructions to obtain profile data of a set of drivers that includes availability data indicating the corresponding driver is available for assignment.

Abstract: A ticket relating to a software event is received in a software development system. One or more public forums on software development is searched for the software event. Two or more topics on the software event are identified from one or more conversations from the one or more public forums that regard the software event. Two or more causes of the software event are determined by analyzing interrelations of the two or more topics.

Abstract: Aspects of the present disclosure relate generally to limiting the use of an autonomous or semi-autonomous vehicle by particular occupants based on permission data. More specifically, permission data may include destinations, routes, and/or other information that is predefined or set by a third party. The vehicle may then access the permission data in order to transport the particular occupant to the predefined destination, for example, without deviation from the predefined route. The vehicle may drop the particular occupant off at the destination and may wait until the passenger is ready to move to another predefined destination. The permission data may be used to limit the ability of the particular occupant to change the route of the vehicle completely or by some maximum deviation value. For example, the vehicle may be able to deviate from the route up to a particular distance from or along the route.

Abstract: The present disclosure describes techniques of processing bullet comments. The techniques comprise obtaining a page of playing a video to output a video stream; obtaining a plurality of pieces of bullet comment data associated with the video stream; and performing an ith bullet comment processing operation comprising adjusting operation indication information to a first piece of indication information; traversing the plurality of pieces of bullet comment data and determining whether the plurality of bullet comment data comprise a piece of bullet comment data in a to-be-posted state; performing a processing operation on the piece of bullet comment data in the to-be-posted state; in response to determining that the processing operation on the piece of bullet comment data in the to-be-posted state has been completed, adjusting the operation indication information to a second piece of indication information.

Abstract: A computer-implemented method comprising: outputting questions to a user via one or more user devices, and receiving back responses to some of the questions from the user via one or more user devices; over time, controlling the outputting of the questions so as to output the questions under circumstances of different values for each of one or more items of metadata, wherein the one or more items of metadata comprise at least a time and/or a location at which a question was output to the user via the one or more user devices; monitoring whether or not the user responds when the question is output with the different metadata values; training the machine learning algorithm to learn a value of each of the items of metadata which optimizes a reward function, and based thereon selecting a time and/or location at which to output subsequent questions.

Abstract: A system and method for analyzing risk and providing risk mitigation instructions. The system receives analyzes sensor data and other data corresponding to a user to determine a test group. The system uses the test group to determine a risk score, and, subsequently, a risk mitigation strategy. Machine learning techniques are implemented to refine how the test group, risk score, and mitigation are each selected.

Abstract: A method, computer system, and a computer program product for dynamic role assignment is provided. The present invention may include identifying a crisis event based on data collected by one or more internet-connected sensors. The present invention may then include selecting an incident plan based on the identified crisis event. The present invention may then include communicating an incident role to a registered device of a crowd member.

Abstract: Methods, systems and computer storage media are disclosed for providing resources to a platform issue. Embodiments describe associating educational resources and an event resource to resolve the platform issue.

Abstract: An information processing apparatus includes an acquisition unit that acquires work information associated with a content of work and a point in time at which the work was performed, and emotion information that records an emotion of a person who performed the work for each point in time, and a generation unit that generates aptitude information indicating an aptitude for the work for each person by associating the work information and the emotion information using a point in time.

Abstract: A system for generating and managing usage-based insurance contracts configured to (i) store a plurality of offers for sharing transactions, where each of the plurality of offers includes an item being offered and an associated offerer; (ii) receive a selection from a buyer of an offer that is accepted by the buyer of the plurality of offers; (iii) automatically generate a usage-based insurance contract for the sharing transaction based on the offer; and (iv) transmit the insurance contract to at least one of the buyer and the associated offerer.

Abstract: A disparate data source aggregation system and methods are provided which may pull or retrieve talent data or features from disparate data sources, automatically correlate the data across the different data sources, build a self-adjusting system database that captures the talent data from the disparate data sources, and lets users search, query and build model insights on the aggregated data of the system database without human intervention. A method for disparate data source aggregation may include: extracting a first feature set having a first extracted feature and a second feature set having a second extracted feature; determining, if the first extracted feature of the first feature set matches the second extracted feature of the second feature set; and aggregating the first feature set with the second feature set if the first extracted feature of the first feature set matches the second extracted feature of the second feature set.

Abstract: In an approach to transient identification generation, one or more computer processors receive a request for one or more identification artifacts associated with a user from a requesting entity. One or more computer processors determine a first set of identification artifacts. One or more computer processors transmit the first set of identification artifacts to the requesting entity. One or more computer processors determine whether the first set of identification artifacts is an approved response to the request for the one or more identification artifacts. In response to determining the first set of identification artifacts is the approved response to the request for the one or more identification artifacts, one or more computer processors generate a transient identification that includes the first set of identification artifacts. One or more computer processors transmit the transient identification to the requesting entity.

Abstract: A system can receive a request for a transport service from a first device. The request can include a user identifier associated with a first user of the first device, contact information associated with a second user, and a pickup location information. The system can make a determination whether a user account associated with the second user is stored in a user database using the contact information in the request. Based on the determination, the system can select a messaging protocol to transmit data to a second device associated with the contact information. The system can transmit a message corresponding to the transport service to the second device using the selected messaging protocol.

Abstract: A system and method provide the ability to control an architecture, engineering, and construction (AEC) project workflow. AEC data regarding a quality of construction is obtained. A set of classifiers and machine learning models are obtained. The AEC data is augmented based on the set of classifiers and machine learning models. A risk metric is generated for one or more issues in the AEC data based on the augmented AEC data. The risk metric is interactively generated and presented on a display device. Work, project resourcing, and/or training are prioritized based on the risk metric.

Abstract: A system for and method of automatically providing access credentials to employees based upon the time and location of the employee when the request was made are provided. The system and method also control the provision of access credentials to an employee by using the employment status and role of the employee to determine whether the employee is authorized to receive the requested access credentials.

Abstract: The present disclosure provides a computerized method for assigning items to pickers including: determining a priority of an ordered item; inserting the item into an ordered data structure based on the priority of the item; iteratively, for items in the ordered data structure: determining an item physical location corresponding to a first unassigned item in the ordered data structure; determining a plurality of picker physical locations corresponding to locations of user devices of pickers; calculating a plurality of distances between the item physical location and picker physical locations among the plurality of picker physical locations; assigning the first unassigned item by: identifying a closest picker corresponding to a shortest distance of the plurality of distances; selecting the identified picker; correlating the first unassigned item with the selected picker in a data structure; and sending information of the item and physical location to the user device of the picker.

Abstract: Described is a system for monitoring provisions of services. The system includes a work order system for producing one or more work orders, an identity and access management system to verify information regarding a service provider and a system that receives a produced work order associated with a service provider upon receipt of a service request. The system requests information regarding service provider attributes from the identity and access management system, and receives from the identity and access management system information regarding at least some of the attributes of the service provider. The system determines a requisite level of expertise required for the service and determines whether the attributes received from the identity and access management system indicate that the service provider has the requisite level of attributes.

Abstract: A method for use in an issue creation process, before an issue is submitted, in an issue tracking system (ITS), comprises receiving an unstructured user input expressing an issue description and comprising one or more query keywords; querying a database of historic issue data to determine historic issues from the historic issue data that are relevant to the one or more query keywords and, in response to the determination, extracting request types from the historic issues; generating, from the extracted request types, a list of possible request types for allocation to the unstructured user input; receiving a user input of a particular request type selected from the list of possible request types and, in response, allocating the particular request type to the issue. The issue is submitted to the ITS for routing the issue to an appropriate service desk according to the particular request type.

Abstract: A system for providing remote monitoring of assets is disclosed. The system provides secure communication with one or more assets and receive operational data from the one or more assets. The system generates a graphical user interface that be used for selection of inputs from the one or more assets and specification of conditions to be applied to inputs for generation of alerts. The system can receive a selection of one or more asset outputs and two or more conditions. The conditions are applied to the selection of one or more assets to generate alerts when at least one of the conditions is satisfied.