Abstract: Exemplary implementations may provide a workforce sentiment and structure descriptions. A survey management tool can solicit and retrieve ratings data from employees via a survey. The received ratings can be aggregated and scaled according to employee ratings to identify and adjust for the impact of influential employees. An organizational chart may be updated based on the survey results and users may navigate the updated organizational chart to review employee ratings.

Abstract: A computing device executing software displays a view of a search assignment in a user interface to a learning platform. The device receives user input comprising search terms associated with the search assignment, and generates queries based on the user input. The device submits the queries to a search engine, whereupon the search engine performs searches based on the queries, and the device displays the results. As a user evaluates resources provided in the results, the device updates the user interface to include an option selectable for adding evaluated ones of the resources to a collection of resources for the search assignment. In response to the user selecting the option with respect to a resource of the evaluated ones of the resources, the device adds the resource to the collection of resources.

Abstract: A user device is operable to determine a query request based on first user input to a graphical user interface displayed by the user device. Query cost data is determined based on the query request. A prompt is displayed via the graphical user interface that indicates the query cost data. Query approval data is determined based on second user input to the graphical user interface in response to the prompt. The query request is transmitted to an analytics system for execution against a database system when the query approval data indicates approval to transmit the query request.

Abstract: The present disclosure relates to automatically evaluating an agent-customer interaction utilizing aspects of machine learning to score the quality of the interaction. In some embodiments, one or more machine learning models are utilized to generate an interaction quality score which is a comprehensive evaluation of agent performance during the interaction. The interaction quality score is a combination of two sub-scores, a conversation score and service score which are each based on one or more dimension scores. The conversation score is a measure of how well the agent engages with the customer during the interaction. The service score is an evaluation of the quality of the agent's service during the interaction in terms of customer's perception of the agent's performance. Each of the conversation score and service score are determined by an analysis of one or more dimensions such as fluency, relevance, appropriateness, informativeness, assurance, responsiveness, empathy, compliance, and sentiment.

Abstract: In some examples, a system can generate a graphical user interface indicating that a first hierarchical level is assigned to a store based on metric values computed for the store using a set of data related to the store. The first hierarchical level can be a level in a predefined performance hierarchy. In response to determining that a value for a metric is below a predefined threshold, the system can execute a mitigation operation configured to improve the metric value (e.g., relative to a baseline). Subsequent to executing the mitigation operation, the system can generate an updated graphical user interface indicating that a second hierarchical level is assigned to the store based on updated metric values computed for the store using an updated set of data. The second hierarchical level may be higher in the predefined performance hierarchy than the first hierarchical level.

Abstract: Proposed is an apparatus, system, and method for conducting a company-customized work evaluation of employees based on work sincerity and work concentration to induce employees toward the ideal talent pursued by the company. The apparatus may receive an input of setting values for work sincerity and work concentration each including a plurality of evaluation items, setting values for weights for the respective evaluation items, and setting values for satisfaction/violation conditions from a manager terminal. Additionally, the apparatus may receive data on work sincerity and work concentration obtained by collecting and counting event information on satisfaction/violation for each evaluation item according to an employee's work from a plurality of employee terminals. Also, the apparatus may perform work evaluation on a plurality of employees via a work evaluation algorithm that uses the work sincerity and work concentration data and the weights as input values.

Abstract: A system and method compute a transit time for travel of a vehicle from a first site to a second site. The system and method include determining a dwell time at the second site, computing an initial predicted transit estimated time of arrival of the vehicle based on the dwell time and the transit time, and updating the initial predicted transit estimated time of arrival based upon a user workflow.

Abstract: Methods and systems for providing health professionals with continued education are based on performance gaps identified from patient data available in transactional systems of record. The methods can include creating a repository of educational material, measuring patient and team level performance gaps, associating the identified performance gaps with appropriate educational material, alerting the person about the appropriate educational material, capturing a user's interaction with the educational materials, and issuing credits or rewards for substantial consumption of the educational materials.

Abstract: An electronic device and method are disclosed herein. The electronic device includes a communication circuit, a processor, and a memory. The processor implements the method, including: receiving, from each of one or more external devices receiving a voice signal of a user, via the communication circuit, a first probability value based on usage frequency, and a second probability value based on signal-to-noise (SNR) magnitude, calculating final probability values for each of the one or more external devices, based on respective first and second probability values of each of the one or more external devices, and selecting an external device from among the one or more external devices having a highest final probability value from among the calculated final probability values.

Abstract: System and methods are disclosed herein for creating interaction path records using time thresholds between interaction paths. The system retrieves the time threshold and a plurality of user interaction records that each include a timestamp. The system sorts the plurality of user interaction records based on the timestamp. The system then identifies the path-start record as being separated from a prior interaction by an amount of time that exceeds the time threshold. The system identifies the path-end record as being separated from a subsequent interaction by an amount of time that exceeds the time threshold. The system creates an interaction path record, stores that records, and generates a summary with information about the path.

Abstract: This disclosure provides a method for the standardized production, financing and delivery of housing using distributed ledger technology and a decentralized artificially intelligent cyber-physical system (CPS or invention) for compiling data and executing human and deep learning sequences for the purposes of standardizing the planning and execution of real estate development, regulatory compliance, financing, supply chain procurement, industrial manufacturing processes, logistical processes as well as project management tasks, and other various construction, manufacturing and delivery tasks and procedures to standardize development, production, and delivery of standardizes building modules and standardized building components in a standardized smart factory that are used to assemble structures.

Abstract: A computer-implemented method is disclosed for managing data transactions and verifying data integrity within a decentralized network using blockchain technology. This method involves receiving a data submission containing multiple data attributes and a unique digital identifier from a data provider's device. The data submission is authenticated via blockchain, verifying its cryptographic signature. A verifiable credential is generated, including the data attributes and a cryptographic proof created using zero-knowledge proofs to ensure each attribute's integrity. This verifiable credential is linked to the provider's device and stored on a connected database. An access credential is also generated, allowing specified data access under set permissions. Data access requests from authorized devices are verified and matched to credentials stored on the database.

Abstract: The proposed system employs one or more steps and an architectural arrangement of a plurality of relevant functional element to enable a security. A USB device is arranged to enable secure access of a computing device. A first cloud server is arranged to receive an ID, a cryptographic key, an authentication PIN and a pre-stored data from the computing device. The first cloud server encrypts the received pre-stored data using the received cryptographic key and subsequently transmits the ID, the cryptographic key and the authentication PIN, to a second cloud server. Further, the second cloud server performs a plurality of sequential functional operation, critical to the motive and objective of deploying the proposed system.

Abstract: An event processing method performed by a computing device is provided. The method may comprise receiving a plurality of events and generating a first event sequence in which the received events are sequentially arranged, determining first priorities for the events included in the first event sequence, using data output from a previously trained priority decision model, verifying the first priorities by comparing the first priorities with second priorities for the events included in the first event sequence, determining a feedback score for the first priorities based on results of the verification; and reinforcing the training of the priority decision model using the feedback score.

Abstract: An RPM module for insertion into outdoor power equipment driven by an engine may include an extraction interface configured to be inserted proximate to the engine to passively extract information indicative of RPM from the engine, an RPM monitor operably coupled to the extraction interface to convert the information indicative of RPM into RPM data, and processing circuitry configured to utilize the RPM data to perform control or monitoring of the engine based on the RPM data.

Abstract: A system and method that enables the ongoing communication, tracking, and management review of feedback among a population of workers and their management.

Abstract: A method and apparatus visualizing compensation adjustments for employees of organization. A computer system identifies a number of merit groups for a group of employees based on employee evaluation for employees in the group of employees. The computer system identifies a number of compensation adjustment parameters. The computer system applies the number of compensation adjustment parameters to a compensation distribution of the group of employees to determine a compensation adjustment for each merit group. The computer system determines impact of the compensation adjustment on the compensation distribution of the group of employees. The computer system displays the impact of the compensation adjustment in a compensation adjustment scenario.

Abstract: One mode of the analysis information management method according to the present invention is a method for managing information related to an analysis by an analyzing device, using a computer or computers, including the steps of: collecting, as comprehensive log information, work-log information related to a use of the analyzing device; calculating the number of executions of each of types of work including a manual analysis operation and a batch analysis operation, using at least a portion of the comprehensive log information collected in the step of collecting; presenting, to a user, information of the number of executions of each type of work obtained in the step of calculating; receiving, from the user, an input of one or more types of work selected from the types of work; and presenting, to the user, the work-log information concerning the one or more types of work received from the user.

Abstract: Various embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis operations by using an agent machine learning model to determine an optimal clinical intervention based at least in part on the current clinical state and an inferred reinforcement learning policy that is determined based at least in part on a familiarity-adjusted reward function, where the familiarity-adjusted reward function is generated by an environment machine learning framework based at least in part on one or more next state predictions for one or more pruned action-state combinations based at least in part on a historical clinical outcome database, and the one or more pruned action-state combinations are determined based at least in part on one or more pruned clinical actions that are selected from a plurality of candidate clinical actions based at least in part on one or more action pruning criteria.

Abstract: A method includes receiving, via a graphical user interface, data characterizing user input specifying a cost of error of a prediction, a model type requirement, and a computational resource allocation for model development; determining, based on the received data and using a model, a prediction of model performance; and rendering, within the graphical user interface, a plot including a first axis, a second axis, and a region characterizing the determined prediction of model performance, the first axis including a characterization of a first performance metric and the second axis including a characterization of a second performance metric. Related apparatus, systems, techniques and articles are also described.

Abstract: The operation sequence identification device identifies an operation sequence including a series of individual operations. The operation sequence identification device includes an communication circuit that acquires first sensing information indicating the position of a moving object in an operation area in chronological order and plural pieces of second sensing information indicating surrounding environment states at different positions in the operation area in chronological order, and a control circuit that specifies the order of the series of individual operations based on the first sensing information and that identifies the operation content of each of the series of individual operations based on the second sensing information.

Abstract: One or more embodiments of the present specification relates to an online interview method and system. The method includes: establishing communication connection between an interviewing terminal and an interviewed terminal through a network; and acquiring communication information between the interviewing terminal and the interviewed terminal. The communication information includes one or more types of audio information, video information, and text information. The interviewing terminal includes one or more of a first host terminal, a second host terminal, and a text processing terminal. The first host terminal is configured to host an interview, and the first host terminal displays an interview outline and/or information of the interviewed terminal. The second host terminal is configured to host the interview and/or participate in the consultation of interview questions. The text processing terminal converts the audio information and/or the audio information in the video into corresponding text information.

Abstract: Disclosed are some examples of systems, methods, and computer program products for suggesting actions for evaluating user performance in a social networking system. In some implementations, textual input of a social media message is processed. The processing can include determining that data of the textual input indicates an evaluation of performance of a user of the social networking system. A prompt can be displayed, requesting submission of information evaluating performance of the user. A performance evaluation record can be generated or updated in a database to store the evaluating information in association with an identification of the user, and an indication of the evaluating information can be shared in a feed of the social networking system.

Abstract: A data management system includes a computing device. The computing device includes one or more processors to execute instructions stored in memory of the computing device. The instructions, when executed by the computer device, cause the computing device to receive an indication that multiple data elements are ready for evaluation, as well as determine whether metadata registration for the multiple data elements is valid. The instructions also cause the computing device to determine a data quality of the multiple data elements by evaluating multiple data elements based on multiple data quality dimensions including at least two of: validity, completeness, uniqueness, accuracy, consistency, and timeliness. The instructions also cause the computing device to provide an indication of the data quality of the multiple data elements via a graphical user interface (GUI) generated via a centralized data mart.

Abstract: A system and method for implementing an alimentary instruction set based on vibrant constitutional guidance using artificial intelligence, the system comprising at least a server configured to receive at least a biological extraction from a user and training data, generate a diagnostic output as a function of the at least a biological extraction and training data, generate a comprehensive instruction set associated with the user based on the diagnostic output, transmit the comprehensive instruction set to at least a user client device associated with the user, generate at least an advisory output as a function of the comprehensive instruction set, and transmit the advisory output to at least an advisor client device.

Abstract: Computer implemented methods are provided for facilitating social engineering campaigns. The methods generally include maintaining at least one database that includes metadata for a plurality of fictional personas, metadata for a plurality of potential targets, information for a plurality of social engineering campaigns, such as a plurality of campaign scenarios, and information regarding social engineering successes with respect to at least one fictional persona, at least one potential target, at least one social engineering campaign, or a combination thereof. The method further includes receiving a selection of a campaign scenario from the plurality of campaign scenarios, receiving a selection of at least one of the plurality of potential targets, and selecting at least one of the plurality of fictional personas for use in a social engineering campaign based on an expected effectiveness of the given fictional personas with respect to the selected targets.

Abstract: A fleet management server includes a memory and a processor. The processor is configured to: receive past event data associated with at least one vehicle and at least one driver, the past event data representing at least one respective past vehicle event that occurred when one of the drivers was driving one of the vehicles; receive respective predetermined classifications of the past vehicle events that were previously manually assigned based on respective contemporaneous videos of the past vehicle events; receive novel event data representing at least one respective novel vehicle event; automatically assign respective ones of the predetermined classifications to the novel vehicle events based on the previous manually assigned classifications to the past vehicle events; and output, to a user of the fleet management server, the respective automatically assigned predetermined classifications of the novel vehicle events.

Abstract: A method and system for quantifying a lack of parity for a subjective data set and an objective data set within an injury profile report. The method and system analyzes and inspects each subjective and objective data set and compares these data sets to a historical accuracy database to find a lack of agreement or non-parity of the data sets. The method and system quantifies the lack of parity, creates an injury profile report and proscribes any functional limitations for the injured worker. The output can be used to assign safer and more accurate functional limitations and assign safer and mor accurate functional limitations to support a safer return to work event for the inured worker after injury.

Abstract: Embodiments maintain historical activity information for a plurality of entity records. Each historical activity record includes a sequence-number that reflects a temporal position of the represented activity instance relative to other activity instances that targeted the corresponding entity. Based on this historical activity information, embodiments generate marginal value matrices (MVMs) that show the historical effectiveness of activities. Specifically, each entity is assigned to a bucket based on an associated entity score. An MVM charts a marginal value for each combination of bucket index and sequence-number, where the marginal value at each combination of bucket index and sequence-number is the average of the activity result values of the historical activity records, for entities assigned to the bucket index, having the sequence-number. Embodiments use MVMs to predict marginal values for activities targeted to each current entity of the salesperson.

Abstract: At least one computer-readable medium on which are stored instructions that, when executed by one or more processing devices, enable the one or more processing devices to perform a method. The method includes the steps of receiving from a user a 360-degree image of a property, performing on the image an image recognition routine, the image recognition routine identifying one or more defects in the property, determining from the image measurements of one or more objects associated with the one or more defects in the property, and estimating a type and quantity of material necessary to remedy the identified one or more defects.

Abstract: A method for quantifying the professional development of a subject includes storing, on a non-transitory computer-readable medium, a base professional development score for a subject, receiving a submission pertaining to a professional development activity of the subject, approving the submission based on at least one professional development criteria, assigning a value to the approved submission, adjusting the base professional development score according to the approved submission value, comparing the adjusted professional development score to a threshold value, and determining that the subject has achieved a professional development goal when the adjusted professional development score is greater than the threshold value. A system for quantifying the professional development, a system for network-assisted recruitment, and a system for network-assisted learning are also described.

Abstract: Systems and methods for assessing, tracking and improving security maturity of an organization are provided. Described is a system for assessing security maturity of an organization. The system receives a list of data sources located across multiple jurisdictions for the organization, collects data sources/data using custom rules from a plurality of data sources of the list of data sources, determine criticality score for each of the plurality of data sources, calculates data source coverage and asset collection coverage, determines use case coverage, and determines security maturity score using a maturity score model. The maturity score model is a logistic equation which is a function of the data source coverage, the asset collection coverage, the criticality score associated with each of the plurality of data sources, the use case coverage, asset coverage by each the plurality of data sources.

Abstract: One variation of a method for automatically capturing data from non-networked production equipment includes: detecting a location of a mobile device within a facility, the mobile device manipulated by an operator while performing a step of an augmented digital procedure at a machine in the facility; estimating a position of a display on the machine relative to a field of view of an optical sensor in the mobile device based on the location of the mobile device and a stored location of the machine within the facility; in response to the position of the display falling within the field of view of the optical sensor, selecting an image captured by the optical sensor; extracting a value, presented on the display, from a region of the image depicting the display; and storing the value in a procedure file for the augmented digital procedure completed at the machine.

Abstract: Systems and methods are disclosed for optimizing distribution of resources to data elements, comprising receiving a designation of one or more data elements for distribution; receiving a designation of a plurality of electronic event types detectable over a network, the plurality of electronic event types being associated with receipt or electronic display of at least one data element of the one or more data elements, to be tracked; forecasting a return on investment, associated with distribution of the one or more data elements, based on a forecast of occurrences of the plurality of electronic event types; and optimizing distribution of resources to the one or more data elements based on the forecasted return on investment.

Abstract: Exemplary implementations may provide a workforce sentiment and structure descriptions. A survey management tool can solicit and retrieve ratings data from employees via a survey. The received ratings can be aggregated and scaled according to employee ratings to identify and adjust for the impact of influential employees. An organizational chart may be updated based on the survey results and users may navigate the updated organizational chart to review employee ratings.

Abstract: An intelligent scheduler system implemented by one or more computer for objectively selecting interviewers for an interview of a candidate for a job opening at an organization. The one or more computers includes a storage device and a processing device to generate a calibrated job profile, generate an enriched talent profile of the candidate, identify, based on the calibrated job profile and the enriched talent profile, an aspect of the candidate to be evaluated during the interview, execute a deep neural network comprising an input layer to receive the aspect, the enriched talent profile of the candidate, and the enriched talent profiles of the potential interviewers, and an output layer to output match scores each indicating an effective measure of a corresponding one of the potential interviewers for evaluating the aspect during the interview, and determine, based on the match scores, qualified interviewers from the potential interviewers.

Abstract: A machine learning method includes acquiring data including attendance records of employees and information indicating which employee has taken a leave of absence from work, in response to determining that a first employee of the employees has not taken a leave of absence in accordance with the data, generating a first tensor on a basis of an attendance record of the first employee and parameters associated with elements included in the attendance record, in response to determining that a second employee of the employees has taken a leave of absence in accordance with the data, modifying the parameters, and generating a second tensor on a basis of an attendance record of the second employee and the modified parameters, and generating a model by machine learning based on the first tensor and the second tensor.

Abstract: An apparatus and method for enhancing cybersecurity of an entity, wherein the apparatus includes at least a processor and a memory containing instructions configuring the at least a processor to receive entity data including cybersecurity related data from an entity, compare the entity data to a cybersecurity metric, generate a cybersecurity enhancement program as a function of the comparison, wherein the cybersecurity enhancement program includes a cyber-attack simulation, and implement the cybersecurity enhancement program for the entity based on the entity data.

Abstract: Techniques for providing improved rating interfaces and techniques as applied to providing and measuring dynamic self-awareness within human networks. A server transmits to a plurality of computing devices a first command for each respective device to display a self-rating user interface and receive a self-rating input from a respective user. The server receives the plurality of self-rating inputs from the plurality and transmits to the plurality a second command for each respective computing device to display a peer rating user interface and receive a peer rating input from a respective user. The server receives the plurality of peer rating inputs from the plurality and calculates statistics comparing the self-rating inputs and the peer rating inputs from the plurality of respective users. The server transmits to the plurality, a third command for each respective computing device to display, by the respective computing device, a summary of the calculated statistics.

Abstract: Systems and techniques are provided for determining an improved camera coverage plan including a number, a placement, and a pose of cameras that are arranged to track puts and takes of items by subjects in a three-dimensional real space. The method includes receiving an initial camera coverage plan including a three-dimensional map of a real space, an initial number and initial pose of a plurality of cameras and a camera model including characteristics of the cameras. The method can iteratively apply a machine learning process to an objective function of number and poses of cameras, and subject to a set of constraints, obtain an improved camera coverage plan. The improved camera coverage plan is provided to an installer to arrange cameras to track puts and takes of items by subjects in the three-dimensional real space.

Abstract: One variation of a method for automatically capturing data from non-networked production equipment includes: detecting a location of a mobile device within a facility, the mobile device manipulated by an operator while performing a step of an augmented digital procedure at a machine in the facility; estimating a position of a display on the machine relative to a field of view of an optical sensor in the mobile device based on the location of the mobile device and a stored location of the machine within the facility; in response to the position of the display falling within the field of view of the optical sensor, selecting an image captured by the optical sensor; extracting a value, presented on the display, from a region of the image depicting the display; and storing the value in a procedure file for the augmented digital procedure completed at the machine.

Abstract: A system and method for procedure selection for dispute resolution according to a plurality of factors, wherein the factors include but are not limited to characteristics of the people (or parties) involved, the nature of the dispute and its context, and the goals of the parties involved. Optionally the characteristics of the parties are determined according to their goals.

Abstract: As described herein, a system, method, and computer program are provided for dynamically generating assistance information for customer service agents. In use, presence of a customer at a physical retail store is identified. Additionally, information describing the customer is processed, using a machine learning model, to determine an expected outcome of an interaction with the customer occurring within the physical retail store. It is then determined that the customer is to be assisted by a customer service agent. Further, assistance information for the customer service agent is dynamically generated, based at least in part on the expected outcome of the interaction with the customer.

Abstract: A method comprises receiving a set of data from at least one interaction, calculating, an audio score for any audio data received in the set of data, and calculating a video score for any video data received in the set of data. The audio score is joined with the video score to create an audiovisual score, and some subset of measurement, alert or recommendation is sent to a user, the set being based on the audiovisual score and configured to be displayed on a user device.

Abstract: Systems and methods relating to improving the experience of gig-economy workers are disclosed, with particular reference to gig-economy work involving vehicle use. Such systems and methods include automatically monitoring and evaluating activities such as driving during performance of gigs, as well as providing recommendations based thereupon. Transferable tokens may be used to apply information across various types of gig activities. Such a transferable token may represent one or more risk levels associated with a gig-economy worker to provide reputational information between gig-economy platforms or between types of gig-economy activities. Thus, the transferable token may enable a gig-economy worker to transfer high customer ratings across gig-economy platforms.

Abstract: The present invention provides for one or more server computers configured to receive user input from a user interface (UI) comprising a first and second job description. The server queries a database to identify a first and second competency score associated with the first and second job descriptions respectively. The server then generates a personalized course profile comprising a plurality of objectives stored in the database and each associated with a third competency score between the first and second competency scores. The server then renders a second UI including an ordered list of the objectives and UI controls for accessing assets associated with the objectives. The server then transmits the second UI to a client computer for display.

Abstract: An example procedure includes an operation to obtain a product record for a first product associated with a supplier account of a supplier of the first product, an operation to select, based on the product record a group from amongst a number of online stores, online stores selling products matching the first products and having a stable demand for those matching products, and an operation to associate the supplier account with merchant accounts corresponding to the selected group of online stores to allow the supplier to supply the selected online stores with the first product.

Abstract: In some aspects, the disclosure is directed to methods and systems for a dynamic, reconfigurable virtual reality environment with in-environment access to external data and resources. Implementations of these systems also provide an external mechanism for modifying other aspects of the virtual reality experience with no need to recode or compile the experience. This can alter the primary flow of the experience, change its behavior based on the specific user accessing it and add branded or customer-specific aspects to the application. The same level or environment can provide drastically different experiences for various users from beginners through experts, even allowing the option of random or ordered events, controllable by an instructor or administrator, through simple configuration.

Abstract: Embodiments described herein provide various examples of a system for extracting an actual procedure duration composed of actual surgical tool-tissue interactions from an overall procedure duration of a surgical procedure on a patient. In one aspect, the system is configured to obtain the actual procedure duration by: obtaining an overall procedure duration of the surgical procedure; receiving a set of operating room (OR) data from a set of OR data sources collected during the surgical procedure, wherein the set of OR data includes an endoscope video captured during the surgical procedure; analyzing the set of OR data to detect a set of non-surgical events during the surgical procedure that do not involve surgical tool-tissue interactions; extracting a set of durations corresponding to the set of non-surgical events; and determining the actual procedure duration by subtracting the set of extracted durations from the overall procedure duration.

Abstract: Systems and methods for providing content items can generate the content items based on impact scores associated with actions of the content items. The system and methods can include accessing, for an entity, a plurality of record objects linked with one or more electronic activities having the entity as a participant, each record object corresponding to an event to be completed; identifying, for each record object of the plurality of record objects, an action to perform to increase a completion score; determining, for each action, using the electronic activities linked with the record object and a current completion score of the record object, an impact score indicating an amount of change in the completion score of the record object corresponding to the action; and providing, for presentation to a device of the entity, a content item corresponding to the action based on the impact score.