Abstract: A social intelligence system is presented that streams information from a source, queues the streamed information, analyzes/scores the queued data, and stores the analyzed/scored data in an analysis database. The analyzed/scored data can then be retrieved from the database for post-processing and stored in a client specific database for further reporting. By streaming the data into various message queues and scoring the data before storing in the analysis database, large volumes of data can be efficiently processed and analyzed for a particular person and/or entity.

Abstract: Mediums, apparatus, computer program code, and means may be provided to evaluate relative risks based at least in part on source inputs received via a distributed communication network by an automated back-end application computer server. According to some embodiments, the server may access a data store containing electronic files associated with a set of entities to retrieve, for each of a plurality of the entities in the set of entities, electronic files associated with that entity. The server may also retrieve structured data elements, unstructured data elements, and external, third-party data elements for that entity. The server may then execute an automated risk model to assign a risk score to that entity based on the electronic files, the structured data elements, the unstructured data elements, and the external, third-party data elements for that entity and transmit indications of the risk scores for the plurality of entities.

Abstract: A method and system for creating a data grouping platform for grouping data from disparate locations and sources, according to a user-defined aggregate. The method and system includes a method for receiving a user-defined aggregate, a user-defined trigger event, and a plurality of user-defined grouping criteria and parameters for creating the user-defined aggregate. The system and method also allows for a user to identify input data sets and sources for creating the grouped aggregates. Once the method and system receives the user-defined parameters, the method and system builds a platform to group data and build data aggregates based on the user-defined criteria.

Abstract: A retrieving device includes: a classifying unit that classifies document data made up of a plurality of items on the basis of a degree of matching of a first item in which a combination of one or more symbol strings is described in a database in which the document data is stored; and an extracting unit that extracts a group of keywords included in a second item from pieces of document data in a same group classified by the classifying unit as related words for retrieval. Moreover, when the retrieving device is implemented as a distributed system on a network, it is possible to create related words for a plurality of machines and to store the related word data and to enable a plurality of users to use the distributed system.

Abstract: Embodiments discussed herein refer to systems and methods for identifying relevantly similar sentiment in text strings.

Abstract: A method for continuously tracking business performance impact of order sourcing systems and algorithms that decide how ecommerce orders should be fulfilled by assigning the items of the order to nodes in a fulfillment network such as stores, distribution centers, and third party logistics—to provide automatic root cause analysis and solution recommendations to pre-defined business problems arising from KPI monitoring. A Business Intelligence (BI) dashboard architecture operates with: 1) a monitoring module that continuously monitors business KPIs and creates abnormality alerts; and 2) a root cause analysis module that is designed specifically for each business problem to give real time diagnosis and solution recommendation. The root cause analysis module receives the created alert, and triggers conducting a root cause analysis at an analytics engine. The BI dashboard and user interface enables visualization of the KPI performance and root cause analysis results.

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

Abstract: A system and method for identifying multiple excavation sites and generating multiple locate requests from a single locate request session comprising an electronic interactive interface for defining a geographic area, wherein the geographic area defined represents an area for evaluation of the presence or absence of one or more underground facilities, an auto-populating interactive smart map, a rules engine for determining a number of tickets per area defined, and a database and/or electronic storage of one or more underground facilities.

Abstract: An image display device includes an approach situation information acquirer that acquires approach situation information indicating approach of at least part of a customer's body to a shelf on which a plurality of items are displayed and indicating, when there is the approach, a position of the approach on the shelf at each time; an associator that associates the approach situation information with one item of the plurality of items according to the position indicated by the approach situation information; an index value calculator that calculates an index value relating to the customer's behavior on the basis of information indicating the item associated with the approach situation information; and a display unit that displays the index value calculated by the index value calculator together with an image of the item on the basis of the association made by the associator.

Abstract: Crowdsourcing systems with machine learning are described. Specifically, item-label inference methods and systems are presented, for example, to provide aggregated answers to a crowdsourced task in a manner achieving good accuracy even where observed data about past behavior of crowd members is sparse. In various examples, an item-label inference system infers variables describing characteristics of both individual crowd workers and communities of the workers. In various examples, an item-label inference system provides aggregated labels while considering the inferred worker characteristics and the inferred characteristics of the worker communities. In examples the item-label inference system provides uncertainty information associated with the inference results for selecting workers and generating future tasks.

Abstract: A system, method and computer program product for continuously tracking business performance impact of order sourcing systems and algorithms that decide how ecommerce orders should be fulfilled by assigning the items of the order to nodes in a fulfillment network such as stores, distribution centers, and third party logistics—to provide automatic root cause analysis and solution recommendations to pre-defined business problems arising from KPI monitoring. A Business Intelligence (BI) dashboard architecture operates with: 1) a monitoring module that continuously monitors business KPIs and creates abnormality alerts; and 2) a root cause analysis module that is designed specifically for each business problem to give real time diagnosis and solution recommendation. The root cause analysis module receives the created alert, and triggers conducting a root cause analysis at an analytics engine. The BI dashboard and user interface enables visualization of the KPI performance and root cause analysis results.

Abstract: A method and apparatus for managing a networked vehicle resource sharing facility, the method and system provide for: defining a geographical area as a work region; storing, in a data structure, data relating to vehicle hire bookings beginning inside the work region, wherein the booking information for each booking includes a default delay time; applying a rule to determine that an additional delay condition or fully booked condition is satisfied within the work region; and in response to positively determining, automatically introducing an additional delay or a fully booked setting, respectively, to at least some of the vehicle hire bookings inside the work region.

Abstract: Aspects described herein pertain to the use of an adaptive and tunable processing system and method to provide a risk assessment and compliance analysis, but are not so limited. An adaptive and tunable processing system of an embodiment adaptively determines an amount of compliance and/or risk based on one or more quantification variables, including one or more of a litigation category variable, a licensing category variable, and/or a consumer sentiment category variable, to generate a stratified score that quantifies an amount of compliance and/or risk associated with a particular entity. The system of an embodiment uses one or more adaptive filters tuned to output values corresponding to an amount of compliance and/or risk associated with use of a particular entity to perform a service or services.

Abstract: In some embodiments, apparatuses and methods are provided herein useful for a retail shopping facility to maintain stocked shelves, in part, from obtaining images of the store shelves via cameras mounted onto shopping carts. By one approach, the images obtained from the shopping carts are compared with planogram images to determine where retail products are needed to restock the shelves. In some examples, the shopping cart has a control circuit that determines when to capture electronic images based, in part, upon a sensor mounted onto the shopping cart, instructs the camera to capture the electric image, and stores the captured electronic image in the memory.

Abstract: Systems, apparatuses, and methods for modular compliance monitoring are provided. A system for monitoring modular compliance in a shopping space includes an image capture device, a baseline condition database, and a control circuit coupled to the image capture device and the baseline condition database. The control circuit being configured to obtain, from the image capture device, one or more images of a display module in the shopping space, retrieve, from the baseline condition database, a baseline condition model for a display space corresponding to the display module, and compare the one or more images of the display module in the shopping space and the baseline condition model to determine a modular compliance status for the display module.

Abstract: In one embodiment, a method includes accessing content objects of an online social network, each content object being associated with an entity of the online social network, where each content object includes content of the content object and is associated with metadata, generating a set of n-grams by extracting one or more n-grams from the content of the content object, calculating, for each extracted n-gram, a quality score for the n-gram based on occurrence counts associated with map tiles of a geographical map, where each occurrence count comprises a count of entities geographically located in a corresponding map tile and associated with the n-gram, generating a snippet-module including one or more of the extracted n-grams from the set of n-grams having quality-scores greater than a threshold quality-score, and sending, to a client system of a user of the online social network, the snippet-module for display to the user.

Abstract: The disclosure includes a system and method for reconfiguring a vehicle based on one or more preferences of a first user without the first user directly providing an input to the vehicle to reconfigure the vehicle. The method may include wirelessly receiving first user profile data at a vehicle. The first user profile data may be associated with a first user. The first user profile data may describe how one or more settings of the vehicle should be configured for the first user. Upon receipt of the first user profile data, the vehicle may be configured in accordance with second user profile data describing how the one or more settings of the vehicle should be configured for a second user. The method may include reconfiguring the one or more settings of the vehicle based on the first user profile data so that the vehicle is reconfigured for the first user.

Abstract: A device, method and computer-readable medium for providing failure management of a data streaming processing system are disclosed. A method may detect a first replica of a shard has failed during processing of the stream of data records between a first operator and a second operator, notify the first operator and the second operator that the first replica of the shard has failed, perform a rewind procedure to identify data records that have been processed in the first replica and resume processing of the stream of data records between the first operator and the second operator via a second replica of the shard without processing the data records that have already been processed from the first replica.

Abstract: A method of tracking and communicating information about a person to a provider of goods or services is disclosed. A GPS enabled mobile phone is used to search for nearby sites of providers of a specific service. Once a service provider is selected, a route to that provider is advised and as the person travels towards the provider the separation between them is determined. As one or more geofences are broken during the journey warning messages are sent to the service provider indicating the pending arrival. The method is particularly useful where the service is to be provided to a disabled person as their accessibility needs can be identified in the message.

Abstract: The on-boarding framework consolidates and ensures consistent implementation of business compliance with regulatory policy across a global business that is required to comply with regulations of international, regional, country specific, local jurisdictions, or the like. The on-boarding framework facilitates the work flow, approvals, documents, reporting, and other information using dynamic rules that dictate the on-boarding elements based on customer type, booking entity, location of the authorized approval, special products, data collected, and the like, which are used to dynamically evaluate the client's on-boarding potential regulatory issues, and the actions used to mitigate potential regulatory issues with the entity being on-boarded.

Abstract: Mediums, apparatus, computer program code, and means may be provided to evaluate relative risks based at least in part on source inputs received via a distributed communication network by an automated back-end application computer server. According to some embodiments, the server may access a data store containing electronic files associated with a set of entities to retrieve, for each of a plurality of the entities in the set of entities, electronic files associated with that entity. The server may also retrieve structured data elements, unstructured data elements, and external, third-party data elements for that entity. The server may then execute an automated risk model to assign a risk score to that entity based on the electronic files, the structured data elements, the unstructured data elements, and the external, third-party data elements for that entity and transmit indications of the risk scores for the plurality of entities.

Abstract: An end-to-end “pilot as service” system for software pilot testing, comprising a server including at least one processor and operative for generating a set of software testing environment/s simultaneously serving plural clients from among a first plurality of enterprise clients, the environment being operative for concurrently running plural proof-of-concept tests for respective plural software products each being tested (“pilots”), on behalf of an individual start-up client from among a second plurality of start-up clients, by an individual one of the population of enterprise clients; a registration functionality, on the processor, operative for pre-registering at least one of: enterprise clients from among the first plurality of enterprise clients, and start-up clients from among the second plurality of start-up clients; and a dashboard functionality, on the processor, operative for presenting at least one result of at least one proof-of-concept test to each client which has pre-registered using said regist

Abstract: A system and a method for mobile sensing data processing are provided. The method includes, receiving one or more requests from one or more applications installed at a client device to obtain a processed sensing data obtained in response to execution of one or more tasks by the application using a set of sensors. Raw data is extracted from the set of sensors in response to the execution of the tasks. A data stream is configured to include sensor data and a task information associated with the tasks. The client device is connected with the server to transmit the data stream. The server outputs the processed sensing data upon processing the data stream and the task information by using one or more task specific models stored at the server. The processed sensing data is received from the server and provided to the applications.

Abstract: In a method of loading checked luggage on unit load devices corresponding to an aircraft having a passenger compartment, each piece of checked luggage is associated with a unique identifier. Each piece of checked luggage is weighed and its weight is associated with its corresponding unique identifier. A best possible luggage placement is calculated considering a distribution of passenger weight, thereby allowing the passengers to sit at their preferred location rather than by pre-allocation. A desired placement of the checked luggage is calculated based on the weight of each piece of checked luggage, the acceptable distribution of weight in the passenger compartment and overall fuel state over mission profile.

Abstract: A contextual analysis engine systematically extracts, analyzes and organizes digital content stored in an electronic file such as a webpage. Content can be extracted using a text extraction module which is capable of separating the content which is to be analyzed from less meaningful content such as format specifications and programming scripts. The resulting unstructured corpus of plain text can then be passed to a text analytics module capable of generating a structured categorization of topics included within the content. This structured categorization can be organized based on a content topic ontology which may have been previously defined or which may be developed in real-time. The systems disclosed herein optionally include an input/output interface capable of managing workflows of the text extraction module and the text analytics module, administering a cache of previously generated results, and interfacing with other applications that leverage the disclosed contextual analysis services.

Abstract: A contextual analysis engine systematically extracts, analyzes and organizes digital content stored in an electronic file such as a webpage. Content can be extracted using a text extraction module which is capable of separating the content which is to be analyzed from less meaningful content such as format specifications and programming scripts. The resulting unstructured corpus of plain text can then be passed to a text analytics module capable of generating a structured categorization of topics included within the content. This structured categorization can be organized based on a content topic ontology which may have been previously defined or which may be developed in real-time. The systems disclosed herein optionally include an input/output interface capable of managing workflows of the text extraction module and the text analytics module, administering a cache of previously generated results, and interfacing with other applications that leverage the disclosed contextual analysis services.

Abstract: A computer implemented method, implemented by an enterprise, of receiving regulatory change data from a feed, identifying a regulatory change, and communicating the regulatory change to an affected regulatory inventory associated with the enterprise. The method may also comprise of providing a questionnaire to a user, receiving questionnaire answers from a user, and creating a compliance action plan to assist the enterprise in managing the regulatory change.

Abstract: A security platform employs a variety techniques and mechanisms to detect security related anomalies and threats in a computer network environment. The security platform is “big data” driven and employs machine learning to perform security analytics. The security platform performs user/entity behavioral analytics (UEBA) to detect the security related anomalies and threats, regardless of whether such anomalies/threats were previously known. The security platform can include both real-time and batch paths/modes for detecting anomalies and threats. By visually presenting analytical results scored with risk ratings and supporting evidence, the security platform enables network security administrators to respond to a detected anomaly or threat, and to take action promptly.

Abstract: A system and method for analysis of interactions with a customer service center, comprising receiving a plurality of customer service interactions, receiving a word cloud computed for the plurality of customer service interactions, consolidating similar or synonymous words into word sets, constructing a weighted graph of the word sets, generating a query for the interaction topic based on a corresponding subset of word sets, selecting at least one representative interaction from the retrieved customer service interactions, and displaying at least a portion of the representative interaction for the selected identified topic.

Abstract: A computer system identifies and prioritizes issues in electronic documents from electronic social media sources and/or from traditional media sources. The computer system includes a communication network linked to one or more of the sources and a computer server in communication with the communication network. The computer server is configured to receive electronic documents from the sources via the communication network. The computer server has memory and a processor, the memory including processor executable instructions stored in the memory and executable by the processor. The instructions comprise data collection instructions, topic modeling instructions including instructions for weighing and instructions for indicating a distribution for identified issues within each of the retrieved documents, issue assignment instructions, instructions for determining, and instructions for ranking.

Abstract: Methods, systems, and devices are described for detection of one or more interfering signals in a particular frequency spectrum. Signal characteristics may be identified for a signal of interest in the spectrum, such as a signal that is desired to be received at a wireless communications device. Based at least in part on the characteristics, one or more interference detection opportunities may be identified, during which interfering signals in the spectrum may be detected. Interference detection opportunities may include, for example, periods when the signal of interest may be absent from the particular frequency spectrum. Transmissions in the frequency spectrum may be monitored during the interference detection opportunity to determine the presence of one or more interfering signals.

Abstract: Techniques described herein relate to generating personalized quality of service (QoS) comparison of wireless services. A user device may obtain first service data from a first wireless service using a user account and obtain second service data corresponding to the first service data from a second wireless service. The user has a benefit of a user account access to the first wireless service, and does not have a benefit of a user account access to the second wireless service. The user device may then generate a comparison between the first wireless service and the second wireless service based on the first service data and the second service data.

Abstract: A system and method provide a way of improving customer satisfaction with a customer service application by identifying tuning opportunities based on customer satisfaction scores. The system and method compare portions of the customer service application to a customer satisfaction score obtained from a customer satisfaction survey. The comparisons show, statistically, which portions of the customer service application correlate to a low customer satisfaction score. A report is produced which identifies these areas that correlate to low customer satisfaction, and these areas may be tuned to improve customer satisfaction with the customer service application.

Abstract: The concepts relate to task completion and specifically to aiding a user to complete an unfinished task at a subsequent time and/or on another device. One example can identify that a user is working on a task on a computing device associated with the user. In an instance when the user stops using the computing device without completing the task, the example can predict a likelihood that the user will subsequently resume the task on a second computing device associated with the user. In an instance where the likelihood exceeds a threshold, the example can attempt to aid the user in completing the task on the second computing device.

Abstract: A method, computer-readable medium, and system for monitoring usage of computing resources provisioned across multiple cloud providers and/or data centers are disclosed. Events associated with usage of a plurality of computing resources may be accessed, where the plurality of computing resources may implement a virtual machine, a plurality of virtual machines of a cloud computing environment, etc. The events may be associated with a start, a stop, a status change, etc., of the plurality of computing resources. The events may be used to generate usage data for the plurality of computing resources. The usage data may include historical data associated with previous usage of the plurality of computing resources. Additionally, the usage data may be displayed using a graphical user interface, thereby enabling monitoring and/or tracking of usage of computing resources provisioned across at least one cloud provider and/or at least one data center.

Abstract: A digital magazine server determines a quality score for content items receiving less than a threshold amount of interactions from digital magazine server users. A distribution of quality scores for a content item is determined from quality scores of content items having one or more characteristics matching characteristics of the content item. As users interact with a content item, the distribution of quality scores is modified to reflect the received interaction. The digital magazine server may use the distribution for a content item to determine a quality score for the content item having a specified confidence or the confidence of the content item having a specified quality score.

Abstract: A system and method for providing a connection platform between a supporter device and a participant device are provided.

Abstract: Disclosed is a computer readable medium containing a program product provided for the development, receipt, storage, and presentation of the data necessary for delivery of quality assurance test activities. In particular, the program product allows users to create quality assurance testing criteria and procedures; define, document, and approve specific actions and allocate unique categorization codes. The program product includes a module for the creation and storage of predefined text and image elements for the provision of enterprise wide knowledge sharing. The program product applies calculations to consolidate and convert data into statistical reports utilizing a variety of user-defined criteria, including but not limited to component descriptor, quality criteria, time period and manufacturer.

Abstract: Aspects of this disclosure relate to a computer for determining the recoverability of a process which may include a processor and memory storing computer executable instructions that, when executed, cause the computer to determine the recoverability of a process, by receiving data relating to a contingency plan for recovering the process, receiving data relating to an organization's execution of the contingency plan during a test of the recoverability of the process, and determining the recoverability of the process based on the data by calculating a cumulative overall score for the recoverability of the process, comparing the cumulative overall score with a rating chart stored in the computer, which includes numerical ranges defining a level of assurance of the recoverability of the process, and determining the recoverability of a process based on the comparison of the cumulative overall score with the rating chart.

Abstract: A novel and non-obvious method, system and apparatus for tuning order configurator performance by dynamic integration of manufacturing and field feedback information. A method for dynamically tuning order configurator behavior by using product issue data can include collecting product issue data for a manufactured product, the product issue data including performance and attribute information of a part of the manufactured product, analyzing the collected product issue data to identify a problematic part, and, modifying the order configurator using the analyzed product issue data.

Abstract: Methods, software, and devices for scoring performance of a plurality of privacy protection activities by an organization are disclosed. A plurality of electronic reports are received, with each report indicating that the organization performs one of the privacy protection activities and providing evidence that the organization has performed that privacy protection activity. A plurality of lifespan metrics are maintained, each measuring a lifespan for an associated one of the electronic reports, after which evidence provided in that electronic report is deemed to have expired. A score reflective of extent of performance of the privacy protection activities by the organization is calculated. The calculation takes into account the plurality of electronic reports that provide evidence that has not expired.

Abstract: A device to perform service contract analysis comprises a processor; and a memory, wherein the memory comprises instructions, the processor to perform the instructions to cause the device to operate to: receive data indicating performance levels of business processes subject to a service contract, the data including a plurality of records, each record including performance data, and each record associated with a business process; compare the performance data with a threshold derived from the service contract; determine a financial outcome based on the comparing; and associate contributions of the financial outcome with respective records or respective service processes, wherein the contributions are based on the comparing.

Abstract: The invention relates to a computer-implemented method for selecting a data set from a plurality of data sets by means of a multi-touch input device, the data sets being connected with each other according to a topology of a graph, the input device comprising: a multi-touch screen, a motion sensing unit, and an acceleration sensing unit, the method comprising: displaying a view by the multi-touch screen, the view comprising a plurality of GUI elements, each GUI element representing one of the data sets, whereby one of the GUI elements is used as current GUI element; detecting, by the motion sensing unit, one or more first tilting motions; determining at least one candidate GUI element in dependence on the one or more first tilting motions; highlighting the at least one candidate GUI element; detecting a first shaking motion; automatically selecting, upon the detection of the first shaking motion, the data set represented by the highlighted GUI element.

Abstract: A computerized method and self-assessment tool for measuring the marketing capability of an organization generates a marketing maturity quotient (MMQ) to provide feedback on maturity along a standardized scale. A body of knowledge (BOK) is used to provide a comparison between MMQ results for an organization and those of the average and leader organizations. The self-assessment tool may be used as part of a marketing campaign for an enterprise, wherein the campaign owner identifies prospects for the self-assessment; configures a campaign that includes a list of prospects at organizations that may desire to use the self-assessment tool; and sends automated invitations to those prospects.

Abstract: A computerized method and system for assessing and improving the capability of a marketing organization creates output that allows for quick visualization of gaps in marketing organization maturity. Binary questions are employed to ensure inter-coder reliability for the assessment. A marketing maturity quotient (MMQ) may be generated to provide feedback on maturity along a standardized scale. A dynamic, normalized database is used in conjunction with a body of knowledge (BOK) to provide a comparison between MMQ results for an organization and those of the average and leader MMQs. A product catalog database is used to provide suggested improvements matched to particular gaps in a marketing organization.

Abstract: A disclosed method includes determining a customer experience value (CXV) of an entity by a server computer. The CXV may be determined by calculating a customer acquisition value of the entity, calculating a customer retention value of the entity, and calculating an operation efficiency value of the entity. The customer acquisition value may be based on at least one of a measure of acquisition performance of the entity or a measure of operational performance of the entity. The customer retention value may be based on at least one of a measure of customer retention or a measure of service quality. The operation efficiency value may be based on at least one of a measure of operating costs of the entity or a measure of strategic costs of the entity. The method includes using, by a customer relationship management application, the determined CXV to indicate a measure of customer satisfaction.

Abstract: Implementations described and claimed herein provide systems and methods for increasing order quality. In one implementation, an order for a product, such as a telecommunication product or service, is received. Information corresponding to critical order attributes is extracted from the order. The critical order attributes include technical data for provisioning the product. The information is automatically validated according to a set of critical-to-quality rules defined based on the product. An auditor review of the information is received. The auditor review assigns a pass/fail status to the order. The validated information is collated with the auditor review to obtain an order status. A determination of whether the order is complete for release to provision the product is based on the order status.

Abstract: Implementations described and claimed herein provide systems and methods for tracking attributes of an order for one or more products, such as telecommunication products or services. In one implementation, a record for an order for one or more products is generated. The record specifies sales exit criteria corresponding to one or more defects in the order. The record is stored in one or more databases. A notification for modifying the order is generated based on the sales exit criteria, and changes made to the order are tracked based on the sales exit criteria. The record is updated based on the tracked changes.

Abstract: The present invention provides a quality inspection processing method and device. The method includes recording a media record of a current service; acquiring each media type in the recorded media record, and searching for and segmenting the recorded media record to acquire a sub-media record corresponding to each media type; and for each sub-media record, performing quality inspection processing on the sub-media record according to a policy that corresponds to the media type of the sub-media record, so as to acquire a quality inspection result of the media record.

Abstract: An apparatus for assessing and controlling the quality of a project in a production environment is provided. The apparatus is configured to: receive a first score, wherein the first score comprises a first numerical value associated with a first level of quality, wherein the first level of quality is associated with a first deliverable; receive a second score, wherein the second score comprises a second numerical value associated with a second level of quality, wherein the second level of quality is associated with the first deliverable; and process the first score and the second score to generate a third score.