Abstract: A system and method for determining a level of empathy of an employment candidate is provided. One aspect includes receiving video input, audio input, and behavioral data input of an interview for each of a plurality of candidates. Behavioral data is extracted from the behavioral data input. An audiovisual interview file is saved in a candidate database. In response to receiving a request to view a candidate profile, the system selects one candidate from among a plurality of candidates, the selecting based at least in part on the empathy score of the selected candidate. In another aspect, a candidate can answer multiple questions during a video interview. The behavioral data extracted from a first portion of the video interview can be compared to behavioral data from a second portion of the video interview.

Abstract: This disclosure relates to method and system for generating strategy and roadmap for end-to-end information technology (IT) infrastructure cloud implementation.

Abstract: Techniques are disclosed for passively characterizing a type of host or computing device which may be engaged in a transaction between the host and another computing device. Observation data corresponding to one or more sessions of network traffic between an unclassified host and a second system may be passively generated by a device characterization server. The observation data can be processed by the device characterization server using a machine-learning classifier. The machine-learning classifier can be trained with a set of training data that includes multiple sessions of network traffic from multiple training data hosts. Each session of network traffic includes an exchange of multiple packets in various embodiments, including packets sent from, and packets received by, the training data hosts. Based on the processing, the unclassified host may be characterized by the device characterization server as one of a physical computing device, a virtual machine, or a container.

Abstract: A system and method is disclosed for configuring a performance analytics (PA) software application operational for analysis of performance data of a managed network. The system may include a PA database containing data for generating a unified graphical user interface (GUI) for consolidating configuration of key performance indicators (KPIs) of the managed network, and one or more server devices configured to receive, from a client device, a request to view information representative of a particular KPI. Based on the request, the server devices may obtain information regarding the particular KPI from the PA database and then transmit, to the client device, a representation of the unified GUI. The unified GUI may include a tabbed interface containing views corresponding to groups of related attributes of the particular KPI, the views including: (i) a data source view, (ii) a breakdown view, (iii) a data collection view, and (iv) an impact analysis view.

Abstract: A service monitoring system executing on one or more processors may have operations that are determined by control information. Control over the operation of the service monitoring system can be exerted through the use of a graphical interface. The graphical interface may present the control information of a new or existing correlation search definition for user interaction. The service monitoring system may maintain a data store of key performance indicator (KPI) data, where a KPI value in the data store is produced by a KPI-defining search query that derives the value from machine data associated with one or more entities that perform a monitored service. A correlation search definition of the service monitoring system determines how a search of the KPI data is conducted, how its data is evaluated to determine whether a triggering condition has been met, and, if so, determines what triggered action is to be initiated.

Abstract: A method, computer program product, and a system where a processor(s) obtains notifications of issues experienced in computing resources allocated to an entity from a shared distributed computing environment and notifications of events with discernable impacts on business performance measures of the entity. The processor(s) quantifies a technical performance impact of each issue and a business performance impact of each event. The processor(s) cognitively analyzes the business performance impact of each event and the technical performance impact of each issue to correlate a portion of the quantified events with a portion of the quantified issues. The processor(s) prioritizes, the portion of the issues by severity of business performance impact. The processor(s) mitigates the portion of the issues experienced in the computing resources allocated to the entity, in order of priority.

Abstract: Methods, systems, and computer program products for identifying relationships among a group of indicators are provided. Aspects include obtaining the group of indicators, including a number of indicators relating to an operation of a computing system. Aspects also include creating pairs of indicators, wherein the pairs of indicators includes all possible combination of the group of indicators. Aspects further include, for each pair of indicators, calculating a linear correlation score, calculating a fitting function score, determining a final correlation score based at least in part on one of the linear correlation score and the fitting function score and storing the final correlation score in a relationship database. Aspects also include creating a graphical display based on the relationship database, wherein the graphical display is configured to convey a strength relationships among the group of indicators.

Abstract: A computer-implemented method and system for streamlining interactions between a customer and a company representative. Information related to a customer is received by a company representative. A predicted future action by the customer is then calculated by a computer process wherein the calculation is based on the received information. The predicted future action is then caused to be displayed on a computer operated by a representative of the company. A conversation plan may be generated according to the information and a business rule which may be displayed on the representative's computer.

Abstract: Methods and systems for making effective use of system resources. A plurality of requests for access to a resource are received. Each request has an associated group of features. The group of features for each request is analyzed to collect observations about the plurality of requests. A function to predict an outcome of a subsequent request is generated based on the observations. Resources are allocated to service the subsequent request based on the function.

Abstract: A method performed by a control system for a work machine includes receiving machine data indicative of operating parameters on the work machine, receiving a set of performance scores indicative of relative machine performance in a set of different performance categories, each performance score being generated by a different performance score generator based on sensor data associated with the work machine, accessing a set of rules that each map one or more triggering conditions to a corresponding adjustment action on the work machine, identifying a set of potential adjustment actions by evaluating fulfillment of the set of rules based on the operating parameters and performance scores, and correlating each potential adjustment action to one or more of the performance categories, selecting a particular adjustment action, from the set of potential adjustment actions, based on an indication of a selected target performance category, and outputting a control instruction based on the particular adjustment action.

Abstract: Systems and methods are described for providing logging functionalities to code executing in an on-demand code execution system while minimizing the need to define such functionalities within the code. A logging endpoint is provided that can be called by an execution of code and passed information for logging. The logging endpoint can enrich the information with additional information, such as information regarding a state of an execution environment for the code (which additional information may not be accessible to the execution of code itself). The logging endpoint can then facilitate storage of the enriched logging information, such as by handling authentication to a storage endpoint. Thus, users of the system may author code that provides robust logging functionalities while minimizing the implementation of such functionalities within the authored code.

Abstract: A user configurable tile allows the user to configure a set of threshold values for a corresponding metric. When the metric is calculated by the system, it is compared against the threshold values to determine what range the calculated metric resides in. A corresponding tile is displayed, with a visual indicator that is indicative of the range that the corresponding metric resides in, relative to the one or more threshold values.

Abstract: A method includes obtaining a sequence of words of a query and identifying, for each word of the sequence of words, an identigen subset to produce a plurality of identigen subsets. The method further includes determining, in accordance with grouping rules, a query entigen grouping that includes a sequence of unique entigens, where an entigen of the sequence of unique entigens corresponds to an identigen of a corresponding identigen subset of the plurality of identigen subsets, and where the query entigen grouping corresponds to a meaning of associated with the query. The method further includes identifying a section of a knowledge base that substantially matches the query entigen grouping, where the knowledge base facilitates storage of knowledge as a multitude of entigen groupings. The method further includes determining an answer to the query based on the section of the knowledge base.

Abstract: A method of determining a set of prescribed actions includes receiving a configuration script identifying a set of influencers, a set of performance indicators, a model type, a target time, and a prescription method. The method further includes deriving a model of the model type based on data associated with the set of influencers or with the set of performance indicators. The method also includes projecting a set of future influencer values associated with the set of influencers and projecting a set of future indicator values of the set of performance indicators at the target time using the model. The method can further include prescribing using the prescription method and based on projecting using the model a set of prescribed actions associated with the subset of actionable influencers. The method also includes displaying the set of prescribed actions.

Abstract: A device may receive one or more data models that have been trained on a set of historical network performance indicators. The set of historical network performance indicators may include metrics associated with measuring network performance for one or more data centers. The device may receive network data for a group of user devices that are actively using the one or more data centers for network services. The device may determine a set of network performance indicators for the one or more data centers. The device may generate, by providing the set of network performance indicators as input to the one or more data models, one or more recommendations associated with improving network performance. The device may perform, after generating the one or more recommendations, one or more actions associated with improving network performance.

Abstract: A data analysis system may automatically suggest data visualizations to a user. A primary data visualization may be displayed to graphically illustrate a primary data set of a database. Criteria may be automatically applied to the database to identify a secondary data set that meets the criteria. A secondary data visualization that graphically illustrates the secondary data visualization and/or a corresponding indicator may be displayed. Multiple visualizations and/or indicators may be displayed, and the user may select one for viewing. The criteria may again be applied to the database to identify a tertiary data set. An analysis path may be recorded to enable the user to easily view the decisions made and/or the data visualizations viewed. The criteria may include determination that the secondary data set has the desired amount of data, has unique data types or descriptors, includes data previously selected by the user, or the like.

Abstract: An approach to optimizing predictive model analysis, comprising creating one or more model templates, decomposing a predictive model, wherein model information is extracted from the predictive model, storing the model information in the one or more model templates, creating a plurality of sub-models, associated with the predictive model, using the stored model information, sending the plurality of sub-models to a scoring engine, receiving results based on the plurality of sub-models from the scoring engine and generating predictions based on combining the results received from the scoring engine. The generated predictions can be sent to one or more analytic applications for further processing.

Abstract: An intelligent processing modulation system comprises: a detector detecting the condition of the processing equipment before the process for processing a raw material into a product begins; a data storage recording the information of the product; a basic database storing the information of the detector and the data storage corresponding to the product and the condition of the product for each time the process is completed; a mode database receiving the information of the detector, the data storage and the basic database and setting up the processing model; a processing equipment operating according to the parameters of the processing model received by the processing information manager; a processing information manager modifying the processing model promptly according to the result of the product in order to improve the yield rate of the product.

Abstract: Methods, systems, and computer-readable storage media for receiving, within a customer-side staging environment, a computer-executable ADR application from a vendor, testing the computer-executable ADR application within the staging environment, the staging environment executing the computer-executable ADR application using sample data, receiving feedback from a customer, the feedback including an election to deploy the computer-executable ADR application to a production environment from the staging environment, and providing the computer-executable ADR application to the production environment in response to the election to deploy the computer-executable ADR application, the production environment being sealed from data transfer to the staging environment.

Abstract: Systems, methods, and computer-readable media are disclosed for systems and methods for intelligent content rating determination. Example methods include determining presence of a first feature in a first frame of a video using an object recognition algorithm, determining presence of a second feature in an audio file associated with the video using an audio processing algorithm, and determining presence of a third feature in a text file associated with the video using a natural language processing algorithm. Certain embodiments may include generating a predicted content rating for the video using a machine learning model, where the predicted content rating is based at least in part on the first feature, the second feature, and the third feature, and using feedback data for the predicted content rating to retrain the machine learning model.

Abstract: Method, system and program product, comprising obtaining agent performance data; ranking, agents based the agent performance data; dividing agents into agent performance ranges; partitioning callers based on criteria into a set of partitions; determining for each partition an outcome value for a first agent performance range and a second agent performance range; calculating for the partitions a respective outcome value difference indicator based on the outcome value for the first agent performance range and the outcome value for the second agent performance range for the partition; matching a respective agent to a respective caller in one of the partitions, based on the outcome value difference indicators for the partitions.

Abstract: A system and method for integrating employee feedback with an electronic time clock or computer login may be used for a variety of reasons including to measure an employee's level of engagement, assess the quality of programming, and seek feedback in how to improve the workplace. Surveying employees in this manner may allow the employer to receive immediate feedback from its employees. It also may allow an opportunity to change or target survey questions based on one or more factors including, but not limited to, time in position, previous answers, level of engagement, and branch/location performance. Data collected may be used to develop predictive analytics that may help the employer to ascertain what percentage of the employee base may remain employed with the employer over a specified period of time or what percentage of the employee base may leave within a specified period of time.

Abstract: Techniques for dynamically adapting cloud applications are described. A current value of a Key Performance Indicator (KPI) of an executing cloud service instance of a cloud application is detected. A determination is made as to whether the current value of the KPI is unacceptable (e.g., either it is outside of an acceptable range or is within an adaptation region). If the current value of the KPI is unacceptable, a first application programming interface (API) is invoked to request a cloud service instance monitor to adapt the cloud service instance to operate within an acceptable KPI range. If the cloud service instance monitor was unsuccessful, the unacceptable KPI is escalated to the cloud service monitor for the type of the cloud service instance. If the cloud service monitor is unsuccessful, the unacceptable KPI is escalated to the application monitor.

Abstract: The present teaching relates to obtaining information from a user via a bot. In one example, a request is obtained to collect information in connection with a user. A statement is generated to be expressed to the user for facilitating a conversation between the user and the bot based on the request. Information is received in connection with the user and collected during the conversation. The collected information characterizes the user in a plurality of modalities. The collected information is automatically analyzed in the plurality of modalities to obtain an assessment of one or more human traits of the user. A plurality of result summaries are generated based on the assessment. The plurality of result summaries are provided in response to the request.

Abstract: For micro, small and medium enterprises issues relating to cost, manpower, IT infrastructure, etc. absorb a major portion of the enterprise's focus. However, today they are also marketing and engaging their customers and potential customers on more parallel channels than ever today across traditional media, electronic media and evolving trends such as social media, blogs, etc. Accordingly, micro, small and medium enterprises would benefit from a solution implementing lead management across these wide range of technologies and formats at a time where network capabilities and portable electronic device capabilities have led to expectations, especially within younger demographics such as “millennials” particularly, of immediate responsiveness.

Abstract: A solution for evaluating an enterprise is provided. The solution can include constructing an enterprise governance library from a set of enterprise governance documents. Each enterprise governance document can include natural language text defining at least a portion of the enterprise. The enterprise governance library can be constructed by parsing the natural language text to identify a set of references relating to the enterprise and creating structured data based on the set of references. Each reference can identify a key object relating to the enterprise, such as an organization of the enterprise, an agent of the enterprise, a product of the enterprise, or a product used by the enterprise. The structured data for each key object can include attributes of the key object, data associating the key object with the enterprise governance document, and data for enabling access to data corresponding to the reference.

Abstract: Aspects of the disclosure relate to managing migration of an application. The managing migration of an application includes establishing a source dataset. The source dataset includes a set of source features. The source features relate to a source. The source includes the application. A determination of a first set of migration plans is made. The determination is made with an evaluation. The evaluation is made using the source dataset and a set of legacy features. The evaluation is performed with a cost measure. The application is migrated from the source to the target. The migration is based on the determined first set of migration plans.

Abstract: A method for automated quality management of agents of a contact center includes: selecting, by a processor, a topic for interacting with a human agent of the contact center; identifying, by the processor, a dialog tree associated with the selected topic; and engaging, by the processor, in an automated communication session with the human agent based on the identified dialog tree, wherein the engaging of the automated communication session includes: receiving, by the processor, an agent input; identifying, by the processor, a current node of the dialog tree associated with the agent input; selecting, by the processor, an automated phrase to be output in response to identifying the current node; and outputting, by the processor, the automated phrase.

Abstract: Aspects of the present invention include a method, system and computer program product for understanding, ranking, scoring and visualizing customer implementation of best practices. The method includes the processor performing an accounting of metrics relating to best practices implementation categories; determining one or more formulas that assign a score to each of the metrics relating to best practices implementation categories; acquiring relative customer best practices data; determining a score for each one of the best practices implementation categories; and determining a ranking for each one of the best practices implementation categories in relation to the acquired relative customer best practices data.

Abstract: The present invention relates to a system and method suitable for objectively evaluating individuals within an organization. In particular, the present invention relates to a system and method for objectively and consistently evaluating individuals for knowledge, training, and compensation within an organization, and across industries. Further the system and method provides models that enable individuals to identify skill that can be altered in a manner that dictates a desired career path and compensation range for the individual.

Abstract: An energy management method for a residential area, the method comprising, in response to an energy management request from a user who lives in the residential area, collecting environment information and energy information on a household of the user, selecting an imitation target among households which have environment information and energy information similar to the environment information and the energy information on the household of the user from among all households in the residential area, setting a method for applying the energy information on the imitation target, and controlling energy management of the household of the user according to the set method.

Abstract: Proposed are a method and apparatus for pushing information, the method comprises: detecting face information, and acquiring control information; acquiring pushing information according to the face information and the control information; and presenting the pushing information.

Abstract: Embodiments are provided for using association rule mining to analyze performance counters of a mobile network, including converting a plurality of performance counters of a mobile network into a plurality of key performance indicators (KPIs), quantizing each KPI into one value of a set of values associated with that KPI, creating a set of items having multiple subsets corresponding to respective KPIs, where each item of a subset corresponds to a respective value of a particular set of values associated with a particular KPI, and generating association rules based, at least in part, on the set of items. In further embodiments, the quantizing the plurality of KPIs includes quantizing a first KPI into a first value of a set of three or more values associated with the first KPI.

Abstract: In one embodiment, a method includes receiving a search query, searching a multiple verticals to identify multiple of sets of objects in each respective vertical that match the search query, wherein each vertical stores objects of a particular object-type, generating a set of blended search results by blending the sets of identified objects from each vertical, determining that greater than a threshold proportion of objects in the set of blended search results are from a first vertical, adding at least one object from a second vertical to the set of blended search results in responsive to determining that greater than the threshold proportion of objects in the blended search results are from the first vertical, wherein the second vertical is different from the first vertical; and sending, responsive to the search query, the set of blended search results for display.

Abstract: A guided exploration is provided to enable a user to view relationships among different entities associated with a performance issue for a monitored entity. Entity relationship data is generated to describe how the different entities are related, and a dashboard user interface is provided to enable the user to view the generated entity relationship data. User input indicating a starting point for viewing the entity relationship data is received, and based on the received starting point, the generated entity relationship data is visually displayed to the user. The displayed entity relationship data is changed based on user input to enable the user to perform the guided exploration.

Abstract: Disclosed in some examples, are methods, systems (a “performance system”), and machine readable mediums which provide information about an organization's performance in the hierarchical content distribution system using one or more Graphical User Interfaces (GUI)s. The system produces and displays a health score which quantifies the performance of the organization's outreach efforts through the hierarchical content distribution network. The health score may be created based upon a plurality of subscores.

Abstract: Methods, systems and apparatus are disclosed to model consumer choices.

Abstract: A vehicle service system configured to modify an ongoing vehicle service procedure in response to changes in vehicle wheel alignment angles which alter the vehicle tracking, thrust line, or thrust angle, in a manner which will affect the operation of an onboard vehicle safety system sensor which is aligned or calibrated relative to a selected characteristic of the vehicle.

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, identifying information for locating 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: Systems, methods, and computer program products to perform an operation comprising receiving, via an interface, a first review specifying a first rating value, a second rating value, and a textual review for an application in an application store, associating the first review in the application store with the first rating value, invoking a semantics analysis engine to determine that the textual review specifies a first known performance issue for the application, determining, based on an update to the application and reviews for the application received subsequent to the update to the application, that the first known performance issue has been resolved, and associating the first review in the application store with the second rating value.

Abstract: An approach is provided for providing spatio-temporal key performance indicators (ST-KPIs). The approach tracks metrics, such as crowd density, pertaining to a number of locations. The tracking is performed over time to develop a history of past values that correspond to the metrics. The history is used to predict a trend of future metrics at the locations with the trend resulting in predicted future values that correspond to the metrics at the locations. In this manner, the ST-KPIs reflect the predicted future values at the various locations that are being monitored. A city view is displayed to a user showing the current and predicted values at defined ST-KPI locations throughout the city.

Abstract: An approach is provided for providing spatio-temporal key performance indicators (ST-KPIs). The approach tracks metrics, such as crowd density, pertaining to a number of locations. The tracking is performed over time to develop a history of past values that correspond to the metrics. The history is used to predict a trend of future metrics at the locations with the trend resulting in predicted future values that correspond to the metrics at the locations. In this manner, the ST-KPIs reflect the predicted future values at the various locations that are being monitored. A city view is displayed to a user showing the current and predicted values at defined ST-KPI locations throughout the city.

Abstract: Briefly described, embodiments of the present invention pertains to a key performance indicator (KPI)-driven digital genome system or framework as well as various systems and methods of use and interaction therewith. Unlike conventional stand-alone KPI applications or pure-play centralized KPI solutions, embodiments of the present invention provide an automated way to codify the organizational objectives, goals, behavior, and motivations by continuously measuring, correlating, and discovering hidden relationships among various metrics, attributes, causal relationships, and networks display genomic findings via business applications without a priori knowledge of machine learning or statistical techniques.

Abstract: One or more processors deconstruct, by utilizing natural language processing (NLP), a text product review into multiple n-grams, where each of the multiple n-grams is a sequence of words from the text product review, and where each of the multiple n-grams is a review of a particular component from the multiple components of the product. The processor(s) generate a component numeric rating value (CNRV) for each of the multiple n-grams using machine learning techniques such as collaborative filtering, and store CNRVs for the multiple components of the product together with identifiers of particular components of the product. The processor(s) receive a request for a particular CNRV for the particular component of the product, retrieve the particular CNRV, and then transmit the particular CNRV to a requesting device of the request in order to adjust an operational feature of the requesting device.

Abstract: A method of sharing profile image cards of a user of a device is provided. The method may be performed by a server and includes obtaining profile image cards indicating profiles of a first user of a first device related to a field of interest of the first user, categorizing the profile image cards based on pre-set categories, obtaining evaluation information of a second user of a second device regarding the profile image cards, determining rankings of the profile image cards for each of the categories based on the evaluation information, and recommending the profile image cards to at least one other device based on the rankings of the profile image cards.

Abstract: Methods recommend to data center customers those attributes of a data center infrastructure and application program that are associated with service-level objective (“SLO”) metric degradation and may be recorded in problem definitions. In other words, a data center customer is offered to “codify” problems primarily with atomic abnormality conditions on indicated attributes that decrease the SLO by some degree that the data center customer would like to be aware. As a result, the data center customer is warned of potentially significant SLO decline in order to prevent unwanted loss and take any necessary actions to prevent active anomalies. Methods also generate patterns of attributes that constitute core structures highly associated with degradation of the SLO metric.

Abstract: A computer program product is provided and includes a storage medium having program instructions. The program instructions are readable and executable by a processing circuit to cause the processing circuit to determine from historical data which anomaly detectors are associated with key performance indicators (KPIs), to extract descriptors of the first metric group from the KPIs to create a first feature profile thereof, to repeat the determining and the extracting with respect to historical data of second and third metric groups to create second and third feature profiles thereof, respectively, to ascertain which of the second and third feature profiles has a greater correlation to the first feature profile and to rank the second and third feature profiles based on which one has the greater correlation and compare the higher ranked one to future metrics in current or subsequent environments to determine if specific KPIs are likely to produce anomalies.

Abstract: A service monitoring system executing on one or more processors may have operations that are determined by control information. Control over the operation of the service monitoring system can be exerted through the use of a graphical interface. The graphical interface may present the control information of a new or existing correlation search definition for user interaction. The service monitoring system may maintain a data store of key performance indicator (KPI) data, where a KPI value in the data store is produced by a KPI-defining search query that derives the value from machine data associated with one or more entities that perform a monitored service. A correlation search definition of the service monitoring system determines how a search of the KPI data is conducted, how its data is evaluated to determine whether a triggering condition has been met, and, if so, determines what triggered action is to be initiated.

Abstract: Customer care representatives in the telecommunications industry and other service-based industries receive problem reports from customers associated with serviceIDs. These customer care representatives have access to at least one data store that contains pieces of content that may aid the customer care representative in assisting the customer. The pieces of content may be related to devices supported by the telecommunications service provider and services provided by or supported by the provider. The ability of the customer care representatives to assist customer is enhanced by returning a prioritized list of pieces of content where the priority is based on a content quality metric associated with some or all of the pieces of content. The content quality metric may be based on a plurality of factors that may each be normalized and weighted and, in some cases, combined, to determine a content quality metric that may be updated dynamically, periodically, or manually.

Abstract: The present invention describes a method of dynamic gamification over a network and comprises of the steps of creating a network of statistical models associated with a real life situation by using a processor, modifying a predefined parameter of a first statistical model by either a player or a moderator which triggers a modification subsequently in the other statistical models related to the first statistical model and deciding an outcome of the gamification in response to the modification of the first and the other statistical models.