Abstract: A system and methods are disclosed for creating and using a revenue value index to score impressions and users for purposes of determining fair pricing for advertisement (“ad”) placement or to provide analytics and information to publishers for future use. The revenue value index may be configured to evaluate data obtained or acquired from first-party, publisher platforms and/or third-party platforms or other data sources for the purpose of valuing either ad impressions or the users engaging the websites on which ads are likely to be placed. The revenue value index may be utilized for either providing value information to entities (for example, publishers) or for measuring the value of ad impressions or users for use in determining fair pricing in real-time auctions conducted for ad placement.

Abstract: A computerized-method for gauging agent's self-assessment effectiveness, is provided herein. The computerized-method includes for each interaction (i) operating a Self-assessment Consolidation module to calculate a confidence-interval for each data-point of one or more preconfigured data-points, and (ii) operating a Self-assessment Divergence Determinant (SDD) module. The operating of the SDD includes: retrieving one or more data-points of the interaction; for each data-point retrieving the confidence interval; setting a divergence-indicator as zero, when the data point is within the confidence-interval; setting the divergence-indicator as a subtraction of the data point from the calculated lower-bound, when the data-point is lower than the lower-bound of the confidence-interval; and setting the divergence-indicator as a subtraction of the calculated upper-bound from the data-point, when the data-point is greater than the upper-bound of the confidence-interval.

Abstract: Disclosed are some implementations associated with a flow builder application including a graphical representation of a flow. Performance data associated with the flow can be obtained. A set of metrics associated with the flow can be generated or updated based, at least in part, on the performance data. The set of metrics can include one or more metrics collected across one or more flow runs. At least a portion of the set of metrics can be provided for presentation within the flow builder application in relation to one or more elements of the flow. The portion of the set of metrics can indicate a performance condition including a duration of the one or more elements of the flow. A request to edit the flow based on the performance condition can be processed, and the graphical representation of the flow can be modified.

Abstract: A method for privacy control in release of protected information includes: storing, in a memory of a first computing system, a plurality of data pairs, each of the plurality of data pairs including at least a decryption key and a registration identifier; receiving, by a receiver of the first computing system, a data request, the data request including at least a user identifier of a user associated with the data being requested in the data request; receiving, by the receiver of the first computing system, a registration identifier of the data being requested in the data request; identifying, by a processor of the first computing system, a data pair based on the registration identifier; and transmitting, by a transmitter of the first computing device, a decryption key of the identified data pair to a second computing system.

Abstract: Systems and techniques for semantic graph database capture of industrial organization and market structure are described herein. Electronic market data may be obtained from an electronic data source. A set of entities and corresponding relationships may be extracted from the electronic market data. A property may be determined for each of the relationships. A market graph data structure may be generated using the set of entities. A search query may be received including an identifier of a member of the set of entities. A market graphic may be generated based on a node corresponding to the identifier and a set of edges corresponding to the node. The market graphic may be output in a computer-readable format.

Abstract: A computer server may receive, from a remote device, an indication of a selection of a subset of a plurality of vendor entities associated with an enterprise. The server may then access a vendor data store to obtain vendor parameters associated with the subset of vendor entities, wherein the vendor data store contains electronic records representing a plurality of vendor entities, and each electronic record includes an electronic record identifier, vendor parameters, and an electronic communication address. The server may then automatically analyze the obtained vendor parameters and data in a metric data store (e.g., benchmark information) to generate vendor logistical variance results for each of the subset of vendor entities. An indication of the vendor logistical variance results may then be transmitted to be displayed on an interactive graphical user interface display that includes at least one electronic communication address from the vendor data store.

Abstract: A sentiment-based score is determined for a contact center engagement between a first contact center service operator and a contact center user. The sentiment-based score is indicated within a graphical user interface displaying information associated with multiple contact center engagements at a device of a second contact center service operator. Based on a request to participate in the contact center engagement received from the device of the second contact center service operator via the graphical user interface, information associated with the contact center engagement is transmitted to the device of the second contact center service operator, and a contact center session involving a device of the contact center user and the device of the second contact center service operator is established.

Abstract: The present disclosure is directed towards systems and methods for workflow and practice management that are particularly useful to professional service industries. The inventive systems and methods provide tools for planning a matter or project, executing a matter or project and analyzing the success or failure of a matter or project. Templates are developed to provide organizational and task execution assistance while at the same time providing detailed information for performance analytics tools.

Abstract: A method, apparatus and computer program product are provided for providing resource adequacy intelligence information. A user may configure organizational data relating to various levels within an organizational hierarchy. Various assumption data, including quantifiable target developments of an organization, at any level of the hierarchy, may be configured. A monitoring engine monitors actual values of metrics provided by integrating systems, and/or predicted values predicted based on the actual values, relative to target values calculated according to assumption data. Alert conditions relating to metrics, and for any level of the hierarchy may be generated in response to the monitoring and provided via a user interface. Intelligence information relating to workforce needs, location optimization, and real estate needs is also provided.

Abstract: Embodiments include a method and system for conducting human performance assessment comprising memory devices for accessing and storing historical data from multiple sources of unstructured and structured assessment source data for a subject. The unstructured assessment source data includes free-form source data. The system includes a computing system with a user interface presented on a digital display device to enter assessment query (AQ) relating to the subject. The system includes a natural language processing engine to process an unstructured data search model based on the AQ and a semantic reasoner engine to apply unstructured and structured data search model to the assessment domain ontology for the subject to measure human performance and at the same time identify performance gaps. The system includes an assessment report generator to generate a report of the performance and gap assessments wherein the report is configured to be displayed on the display device.

Abstract: A device may receive meeting data associated with a first meeting, the first meeting having previously occurred. The device may obtain, based on the meeting data, data identifying at least one individual associated with the first meeting and data identifying at least one topic associated with the first meeting. In addition, the device may identify a second meeting based on the at least one individual or the at least one topic, the second meeting having not yet occurred. The device may provide, to a user device associated with the second meeting and based on identifying the second meeting, at least a portion of the meeting data associated with the first meeting.

Abstract: An apparatus for post-processing of a decision-making model of an autonomous vehicle receives a decision-making model including a plurality of states. The model is processed using multivariate data that comprises values for at least three observations of a vehicle operational scenario. A slice of the model decision space is generated by fixing values of all except two observations, and modifying the values of the two observations to obtain multiple alternative solutions for the model. The alternative solutions and the modified values form the slice. Each alternative solution is associated with a respective first value of a first observation and a respective second value of a second observation. The apparatus also generates a solution to a modified decision-making model that is the model modified by, for at least one state and at least one of the two observations, modifying a probabilistic transition matrix, a probabilistic observation matrix, or both.

Abstract: Techniques for generating and evaluation predictive models to optimize computing applications are described herein. In some embodiments, a system generates, using a model, a first set of scores for a plurality of accounts, wherein a score in first set of scores for a respective account characterizes a priority of interacting with the respective account relative to other accounts in the plurality of accounts, wherein the model defines a set of criteria for scoring accounts, wherein each criterion in the set of criteria is associated with one or more feature values and a weight. The system may receive user input that modifies the set of criteria. Responsive to the user input the system may update the model and generate, using the updated model, a second set of scores for the plurality of accounts. Actions may be prioritized/executed based at least in part on the account scores.

Abstract: A method and system are provided for environmental credit scoring of a plurality of users, partners, and distributors comprising: registering the plurality of users, partners, distributors, and verifiers; receiving information from the registered users; receiving environmental activity records from partners, and distributors; assigning each activity an identification number; verifying the environmental activity records; calculating a score of each environmental activity; calculating an environmental credit score of the partners and distributors; receiving data from a point of service system; identifying the environmental activity records of users, partners and distributers, and crediting respective environmental activity records; calculating an environmental credit score for the users based on the environmental activities' data credited under the environmental activity record of the users; analyzing the environmental credit score of the users, partners, and distributors; and publishing the environmental credi

Abstract: Some embodiments provide a non-transitory machine-readable medium that stores a program executable by a device. The program identifies a set of visualizations associated with the user. The program further determines, for each visualization in the set of visualizations, a score associated with changes in the visualization. The program also determines a subset of the set of visualizations based on the set of scores. The program further provides to the user notifications associated with the subset of the set of visualizations.

Abstract: Methods and systems for compact presentation of automatically summarized information according to rule-based graphically represented information. One of the methods includes obtaining, via a user accessible user interface, a request for uploaded textual information to be analyzed. Ontology information is accessed based on an indicated type associated with the textual information, and ontology information for the type. The ontology information specifies nodes, with the nodes causing the server system to extract values for textual expressions defined by the nodes, and relational information between the nodes, with the relational information indicating links between textual expressions. The textual information is parsed based on the ontology information. The parsing causes traversal of the nodes and extraction of values from associated textual expressions based on the textual information. Values are obtained based on the parsing, with the values being utilized as summary information.

Abstract: In accordance with an embodiment, described herein is a system and method for providing key performance indicator (KPI) customization in an analytic applications environment, which enables data analytics within the context of an organization's enterprise software application or data environment, or a software-as-a-service or other type of cloud or computing environment. The system supports customization derived from multiple layers which, in aggregate, can yield a customized performance metric or KPI object. In accordance with an embodiment, the system supports a user interface with icons that describe original (e.g., out-of-the-box or factory) KPIs and user-modified KPIs. When a user modifies an original KPI object to create a customized KPI, its icon is changed to visibly indicate that the user has modified the KPI. The customized KPI can be used within KPI decks, cards, dashboards, or other types of visualizations; while retaining a lineage to the original KPI object.

Abstract: An example method of determining a state of a key performance indicator (KPI) comprises: receiving one or more entity definitions, wherein each entity definition associates an entity with machine data pertaining to the entity; receiving a service definition for a service provided by one or more entities, the service definition including a reference to a corresponding entity definition of the entity definitions, wherein the service definition includes a respective reference for each of the one or more entities; receiving definitions of one or more KPIs, each KPI defined by a respective search query that produces a value derived from particular machine data, wherein the particular machine data is identified by the service definition, wherein each value is indicative of performance of the service at a point in time or during a period of time; deriving, by performing on the machine data a search query associated with the KPI, one or more KPI values for the KPI; selecting, among a plurality of states of the KPI, a

Abstract: System and methods are described for parsing log data items to find events in the log data items, wherein an event comprises at least a portion of a log data item matching an event definition; aggregating a plurality of performance metric definitions into a single expression; and generating a plurality of performance metrics from the events by applying the single expression to the events.

Abstract: Systems and methods of providing a management data analytics service are described. After receiving a request for a management data analytical KPI, the MDAS producer determines from which of network objects to collect the performance measurements to generate the management analytical data. The network objects include an NF, NSI, NSSI, subnetwork or the network. Performance data is collected for a past period and management analytical data generated based on the collected performance data. The KPI for a future period related to the past period is determined. The KPI is to predict uplink or downlink traffic volume or resource utilization associated with the network object.

Abstract: Techniques regarding providing artificial intelligence problem descriptions are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can include, at least: a query component that generates key performance indicators from a query, determines a subset of key performance indicators that individually have a performance below a threshold, and maps the subset of key performance indicators to operational metrics; a learning component that generates, using artificial intelligence, problem descriptions from one or more of the subset of key performance indicators or the operational metrics and transmits the problem descriptions to a database.

Abstract: The disclosed implementations include a computer-implemented method of a controls framework to monitor multiple controls of multiple processes. The method can include linking the multiple controls in a hierarchical arrangement with and obtaining information about compliance by a particular subsystem, a particular process, or a particular sub-process of the organization with a particular control. The method can further include generating a risk measure for the organization based on information about a quantity of controls, types of control, failure, or noncompliance with the particular control and communicating, by the central management component to a computing device coupled to the system, at least an indication of the risk measure.

Abstract: A system includes a memory having instructions therein and at least one processor in communication with the memory. The at least one processor is configured to execute the instructions to determine a global-level importance magnitude value for a global-level importance of an explainable feature of a machine learning base model based on a first prediction of the machine learning base model. The at least one processor is also configured to execute the instructions to determine a global-level importance direction label for the global-level importance of the explainable feature based on the first prediction. The at least one processor is also configured to execute the instructions to generate a communication for presentation to a user based on a second prediction of the machine learning base model, based on the global-level importance magnitude value, and based on the global-level importance direction label.

Abstract: Systems and methods describe providing for the dynamic prediction of employee attrition within an enterprise organization. The systems and methods involve connecting to internal data sources within the enterprise and external data sources outside of the enterprise; receiving internal and external feed data relating to a number of entities within the enterprise, including at least one or more employees of the enterprise; converting the internal and external feed data into normalized feed data within a single format; generating enterprise graphs based on the normalized feed data, with each enterprise graph representing relationships between entities within the enterprise at a point in time; generating a risk assessment model related to changes in the enterprise graphs over time; and providing to enterprise users, based on the risk assessment model, one or more attrition probabilities for at least a subset of the employees of the enterprise.

Abstract: Methods are provided in which a computing device obtains telemetry data associated with a network technology used in an enterprise network. The network technology is deployed using one or more assets of the enterprise. The methods further include the computing device determining, for each deployment of the network technology, a progression along an adoption lifecycle of the network technology, based on the telemetry data, generating, based on the progression of each deployment of the network technology, a first action set and an alternative second action set, different from the first action set, for further progression along the adoption lifecycle and providing the first action set and the alternative second action set for the further progression of the network technology along the adoption lifecycle.

Abstract: A remote server monitors the health of a network of computing devices through hierarchical composite indicators by obtaining performance attributes from computing devices in the network. The server generates a composite indicator associated with one or more of the computing device based on a combination of at least two performance attributes of the computing device(s). The server monitors the composite indicator and, responsive to a determination that the composite indicator indicates an alert condition, generates an alert associated with the computing device(s). Additionally, if the alert condition is subject to remediation, the server causes at least one of the computing devices to execute a command to provide remediation of the alert condition.

Abstract: Methods, systems, and non-transitory computer readable storage media are disclosed for determining parameters for digital campaign content in connection with executing digital campaigns using a rank-one assumption and a best-arm identification algorithm. For example, the disclosed system alternately explores response data in the first dimension and response data in the second dimension using the rank-one assumption and the best-arm identification algorithm to estimate highest sampling values from each dimension. In one or more embodiments, the disclosed system uses the estimated highest sampling values from the first and second dimension to determine a combination with a highest sampling value in a parameter matrix constructed based on the first dimension and the second dimension, and then executes the digital campaign using the determined combination.

Abstract: An AI-based process monitoring system access a plurality of data sources having different data formats to collect and analyze KPI data and shortlist KPIs that are to be used for determining the impact of automation of an automated process or sub-process. Information regarding an automated process is received and KPIs associated with the process and sub-processes of the process are identified. The identified KPIs are put through an approval process and the approved KPIs are presented to a user for selection. The user-selected KPIs are evaluated based on classification, ranking and sentiments associated therewith. The evaluations are again presented to the user along with a set of questionnaires wherein each of the questions has a dynamically controlled weight associated therewith. Based at least on the weights and user responses, a subset of the evaluated KPIs are shortlisted for use in evaluating the impact of process automation.

Abstract: The disclosed embodiments describe methods, systems, and apparatuses for determining user intent. A method is disclosed comprising obtaining a session text of a user; calculating, by the processor, a feature vector based on the session text; determining probabilities that the session text belongs to a plurality of intent labels, the probabilities calculated using a multi-level hierarchal intent classification model, the intent labels assigned to levels in the multi-level hierarchal intent classification model; and assigning a user intent to the session text based on the probabilities.

Abstract: A material-conveying system comprising a conveyor for conveying material to a bin and a conveyor positioning system associated with the conveyor. The conveyor positioning system comprises a processor for positioning the conveyor relative to the bin. The conveyor comprises a spout and the bin comprises an opening. The conveyor positioning system positions the spout of the conveyor over the opening of the bin. The conveyor positioning system in one implementation comprises a Global Navigation Satellite System-Real Time Kinematic (GNSS-RTK) positioning system that includes a fixed base station and a GNSS receiver on the conveyor.

Abstract: The invention relates to a contribution incentive-based blockchain collaboration method and system, which is characterized in, comprising: 1) applying from an ordinary node to a qualification assessment node for registered qualification; 2) dividing a task into a number of subject tasks and creating corresponding subject task ledgers respectively, and creating a number of sub-tasks corresponding to the subject task in each of the subject task ledgers; 3) applying from the ordinary node to the qualification assessment node for receiving the sub-tasks; 4) by the qualification assessment node, auditing all sub-tasks which are applied for reception by the ordinary node; 5) submitting completed sub-tasks from the ordinary node to a task quality audit node; 6) by the task quality audit node, calculating contribution incentives and qualification credits for the sub-tasks completed by the ordinary node; 7) by the task quality audit node, traversing through each subject task ledger respectively, for finding out a bloc

Abstract: In some embodiments, an active application is identified from an outgoing communication and/or what application is active on a device. In some embodiments, system will intercept and/or analyze a message sent by a computing device. For example, the system may run as an Internet proxy application on the device and/or on an Internet server. Optionally, the system reads message header and/or uses information from the header to determine what application sent the message. In some embodiments, the system includes a procedure that recognizes communications that are not of interest and/or discards these communications. Additionally or alternatively, the system includes a procedure that truncates a communication header and/or eliminates data not useful in determining the source of the communication. Optionally, the system uses a short list to identify the application and a long list when the application was not recognized based on the short list.

Abstract: A method, apparatus, and computer program product for digitally presenting statistically-relevant business insights into a set of business metrics for an organization. A computer system identifies a set of organizational characteristics from human resources data of employees of a plurality of organizations, and applies a selected inclusion criteria to the set of organizational characteristics to identify a set of candidate organizations. The computer system identifies a set of benchmark organizations from the set of candidate organizations, and creates a fixed panel of the benchmark organizations. The computer system applies the fixed panel to the human resources data of employees of a plurality of organizations to create an analysis dataset that consists of human resources data of employees of the benchmark organizations. The computer system generates a business insight into the set of business metrics of the organization based on the analysis dataset, and digitally presents the business insight.

Abstract: Systems and methods to identify, assess, and manage business risk and increase business valuation and marketability are provided. In one aspect, business risk is determined in response to user responses to a set of business queries. In one embodiment, a method to mitigate business risk includes receiving company data and a set of user-provided answers to a set of business queries, each of the set of user-provided answers having a weighted value and a prioritized ranking value; categorizing the set of user-provided answers into a set of response categories; generating a score for each response category; dividing the set of business queries into two business categories; calculating a set of score weight values for each user-provided answer; and calculating a total score weight for each business category; and generating a risk prioritization list along with tactics to address such risks.

Abstract: The present application is directed towards systems and methods for providing a heat map interface for analyzing and reporting transformation capabilities of a source installation to a target installation of an application. Characteristics of the source installation are displayed in an easy, intuitive interface, providing improved efficiency in analysis and planning. Furthermore, the interface is interactive, allowing an administrator or user to select and apply transformation dispositions to code objects grouped into regions and sub-regions, providing versatility and accuracy of configuration.

Abstract: A mechanism is provided to implement a healthcare analytics management system. A healthcare analytics development sub-system develops an analytics pipeline of a set of analytics assets for a selected healthcare based on a set of business needs for a healthcare analytics client and a healthcare analytics model based on the set of analytics assets and the set of business needs. A model deployment module of a healthcare analytics operation sub-system deploys the healthcare analytics model on a set of computing devices of the selected healthcare consumer. Responsive to detecting a performance deviation of the deployed healthcare analytics model from the set of business needs, a model feedback module determines improvement needs for the healthcare analytics model. The model feedback module feeds the improvement needs back to the healthcare analytics development sub-system. The healthcare analytics development sub-system customizes the healthcare analytics model based on the improvement needs.

Abstract: Various methods and systems of statistical data processing and natural-language-processing are disclosed. According to one embodiment, an intelligent, automated KPI-discovery method uses existing machine-learning algorithms and Natural Language Processing (NLP) for extraction and construction of KPIs.

Abstract: Certain aspects of the present disclosure provide techniques for providing detailed customer-level lifetime value data via a user interface. Embodiments include receiving customer data related to a customer. Embodiments include using a plurality of predictive models to predict, based on the customer data, values for a plurality of sub-components of a lifetime value of the customer, wherein each predictive model of the plurality of predictive models corresponds to a sub-component of the sub-components. Embodiments include determining customer-level lifetime value data for the customer by aggregating the values for the plurality of sub-components. Embodiments include providing the customer-level lifetime value data for the customer, including a subset of the values for the sub-components, to an application for display to a user via the user interface.

Abstract: Estimations of carbon dioxide (“CO2”) emission of an entity upon the condition of incomplete or missing data uses one or more algorithms implemented in a machine having a processor and a memory and data concerning the entity. The data is applied to an algorithm implemented as code executable in the processor. The algorithm produces a result that comprises an estimate of the CO2 emission of the entity. The CO2 emission estimate can be output to a user, and the underlying formula and data can inspected and optionally modified by users with suitable permissions. The CO2 emission estimate can be applied as a factor in a formula to compute a rating for the entity which can be output from the machine. Error estimates associated with the data used by the algorithm can be generated to provide improved estimates.

Abstract: Behavior data associated with a user is obtained. The behavior data is generated when the user uses an Internet service and includes a user identification and identification information indicating the Internet service. At least one predefined carbon-saving quantity quantization algorithm is determined based on the identification information related to the Internet service. A carbon-saving quantity associated with the user is calculated based on the obtained behavior data and the determined at least one predefined carbon-saving quantity quantization algorithm. Based on the calculated carbon-saving quantity associated with the user and the user identification, user data is processed. The user data is related to the carbon-saving quantity associated with the user.

Abstract: One or more processing devices access a service definition for a service provided by one or more entities that each produce machine data or about which machine data is generated. The service definition identifies the entities that provide the service and, for each entity, definitional information includes information for identifying machine data pertaining to that entity. The processing devices access a key performance indicator (KPI) for the service that is defined by a search query that produces a value derived from the machine data pertaining to the entities identified in the service definition. The value indicates how the service is performing at a point in time or during a period of time and indicates a state of the KPI. A graphical interface is displayed and an indication of at least one threshold, which defines an end of a range of values representing a state of the KPI, for the KPI is received.

Abstract: A risk parsing device provides risk splitting and loss event diversification for a multi-risk forecast systems capturing multiple loss aggregation under complex environmental conditions based on the occurrence of defined loss events. The loss events are triggered by one or more involved causing units and affected units, wherein the loss events evolve from one or multiple risk accumulating sources. Risk events related loss measures can be scattered over multiple causing units or multiple related clash events. The multi-risk forecast system provides loss-generating processes and events, wherein the inventive risk splitter is a technical core element to generate an event-related loss distribution mirroring cause-effect chains induced by the risk events which extend over space and time. The risk splitter module allows automated splitting of the risk based on risk exposed, causing unit characteristics and risk exposed affected units' characteristics.

Abstract: A system includes a first network edge data collector, a first network edge key performance indicator (KPI) engine configured to operate on first data collected by the first network edge data collector, a KPI metrics manager in communication with the first network edge KPI engine, the KPI metrics manager controlling a KPI metric catalog and wherein the first network edge KPI engine determines first edge KPI metric using a metric algorithm from the KPI metric catalog on the first data.

Abstract: The proposed system allows merchants to have more time to finalize payroll and to have access to capital for payroll processing. This system/process may include identifying eligible employer devices based on a risk score and transaction data received by the system. The system and process further includes providing an interface element via a user interface that activates a delay upon selection, and delaying initiation of an electronic payroll payment from a first date to a second date responsive to receiving selection of the interface element.

Abstract: A method for assessing a control loop. In the method, the control loop is assigned one degree of fulfillment each with respect to at least three quality criteria. The surface area of a polygon having a geometry defined by the degrees of fulfillment is determined. An overall control quality of the control loop is evaluated on the basis of the surface area.

Abstract: A computerized-method for generating a machine-learning model to determine genuineness of customer feedback to filter-out, non-genuine agent recording segments from evaluation. The computerized-method includes generating a Genuineness Opinion Score (GOS) model. The generating of GOS model includes: (a) a data manipulation phase; (b) a data visualization and analysis phase, and (c) a feature augmentation phase for sorting the variables in a set of unique and relevant variables into two categories: estimated variables and anticipated variables. The estimated variables are used for calculation of a GOS of an interaction that is received in a contact center and the anticipated variables are used for calculation of a threshold of said GOS.

Abstract: Systems and methods are disclosed for managing data objects that include text content that are stored in a database. The management of text objects includes determining that a condition for a data object associated with a user has been satisfied. In response, a relevancy score for the data object is generated. The relevancy score is based on the text content of the data object and a density estimation model associated with the user. The density estimation is generated using a plurality of data objects that each include text content and that are associated with a plurality of users of a service associated with the data objects, and using a set of the plurality of data objects that are associated with the user. Irrelevancy actions or relevancy actions may be performed to the data object based on the relevancy score.

Abstract: Among other things, unstructured text items are processed to identify elements of the unstructured text items relevant to classification rules of quality metrics applicable to services provided by a healthcare provider with respect to diseases, conditions, or interventions of patients. The classification rules define classifications of patients based on diseases, conditions, or interventions of patients or on aspects of the services provided. Through a user interface, the unstructured text items, the identified elements, and user interface controls for classifying the patients with respect to the classification rules, based on the identified elements, are presented to the user.

Abstract: A method (and system) includes retrieving a dataset from a database, creating a report including a graphical representation of the dataset, the graphical representation of the dataset including a customizable, responsive visualization of a key performance indicator and displaying the report on a graphical user interface. The visualization of the key performance indicator displays all necessary data in a single visualization. The method (and system) provides responsive layout creating to automatically generate and arrange the visualization of the key performance indicator.

Abstract: Embodiments for intelligent career planning assessment in a computing environment by a processor. A career planning pathway of a career planning model for a user may be monitored for achieving a career goal. One or more deviations from the career planning pathway may be identified according a user profile, one or more behaviors of the user, one or more environmental factors, or a combination thereof.