Abstract: Techniques are described for analyzing and presenting alert-based information for an enterprise business. In particular, a central device in a computer system receives alerts from other devices associated with different office branches of the enterprise business, and analyzes the alerts on a periodic schedule. For example, every month, the central device may calculate a weighted alert volume by district based on the risk scores calculated for the office branches within the district, calculate an average weighted alert volume across the entire enterprise, and calculate the standard deviation of the average weighted alert volume to determine the alert risk rating for the district. The central device may also analyze the dispositions of the alerts on the period schedule. For example, the central device may determine coaching rates and/or disposition rates by district. The central device may further output the alert and/or disposition information to users in a simple format.

Abstract: A system for fully integrated collection of business impacting data, analysis of that data and generation of both analysis-driven business decisions and analysis driven simulations of alternate candidate business actions has been devised and reduced to practice. This business operating system may be used predict the outcome of enacting candidate business decisions based upon past and current business data retrieved from both within the corporation and from a plurality of external sources pre-programmed into the system. Both single parameter set and multiple parameter set analyses are supported. Risk to value estimates of candidate decisions are also calculated.

Abstract: Techniques described herein include assessing factors that may affect the quality of software under development by a development team or that may be used to evaluate the health of software already deployed in a computing environment. In one example, this disclosure describes a method that includes collecting, by a computing system, historical information about a plurality of prior development projects; correlating, by the computing system, the historical information with each of a plurality of developers that participated in one or more of the plurality of prior development projects; collecting, by the computing system, information about an application developed by a subset of the plurality of developers; generating, by the computing system and based on the information about the application and the correlated historical information, a predicted outcome for the application; and taking an action, by the computing system and based on the predicted outcome, to prevent the predicted outcome.

Abstract: An information processing apparatus includes: an acquisition unit that acquires height information relating to a height of a capturing position of an imaging device that captured an image in which a face of a user was detected; and a determination unit that determines, based on the height information, whether or not the user is a candidate for person requiring assistance, who may be a person requiring assistance.

Abstract: Techniques are described for analyzing and presenting alert-based information for an enterprise business. In particular, a central device in a computer system receives alerts from other devices associated with different office branches of the enterprise business, and analyzes the alerts on a periodic schedule. For example, every month, the central device may calculate a weighted alert volume by district based on the risk scores calculated for the office branches within the district, calculate an average weighted alert volume across the entire enterprise, and calculate the standard deviation of the average weighted alert volume to determine the alert risk rating for the district. The central device may also analyze the dispositions of the alerts on the period schedule. For example, the central device may determine coaching rates and/or disposition rates by district. The central device may further output the alert and/or disposition information to users in a simple format.

Abstract: Methods and apparatus for estimating properties of a mixture of two or more surfactant species are provided. Multiple molecular dynamics simulations of the mixture are performed, each simulation using a particular total concentration of the surfactant species and a particular ratio of the surfactant species, such that the multiple simulations cover a plurality of such total concentrations and a plurality of such ratios, each simulation being carried out above the critical micelle concentration of the simulated mixture. For each simulation, and from the results of each simulation, a distribution of each surfactant species between at least a micellar pseudo-phase and a non-micellar pseudo-phase of the mixture at the particular total concentration and particular ratio for that simulation is determined.

Abstract: In an example embodiment, a framework is provided that helps configure predefined actions on transactions in a process flow, which will be continuously learned using artificial intelligence (AI)/machine learning techniques. This allows decision trees to be dynamically built to bypass unnecessary delays, especially as the volume of inputs grows and the variations of decisions become more complex.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for intelligently dispatching vehicles to a vehicle service center to progress vehicles at a predefined rate through sequential stations of the vehicle service center. The disclosed systems can analyze services associated with vehicles. Based on the services, the disclosed systems can determine how to order, within a virtual queue, vehicles corresponding to the services. For example, the disclosed systems can predict a complexity associated with a service for a vehicle, and in turn, determine whether adding the vehicle to the service queue will allow the vehicle to move through a set of sequential stations in accordance with the predefined progression rate. In response, the disclosed systems can dispatch the vehicle, refrain from dispatching the vehicle, or otherwise dynamically respond to enable the vehicle to move through the set of sequential stations in accordance with the predefined progression rate.

Abstract: Method, system, device, and non-transitory computer-readable medium for adjusting a dynamic discount. In one aspect, a computer-implemented method includes: receiving an enrollment request from a user associated with a vehicle for a vehicle insurance policy; issuing an initial discount to the user for the vehicle insurance policy at a first time; collecting trip data associated with a set of vehicular trips operated by the user with the vehicle, the trip data including telematics data and travel condition data; and dynamically updating the initial discount based at least in part upon the trip data as trip data are collected.

Abstract: Systems, computer program products, and methods are described herein for transformative data analysis and data modeling in a distributed network. The present invention is configured to receive sample data from a source system into a data ingestion engine, transmit, from the data ingestion engine to a data governance engine a request for metadata of the sample data, construct metadata of the sample data, determine a data transformation of the sample data based on the schema, transform the sample data via the data transformation, and store transformed sample data and corresponding metadata in a shared data store. First and second views may also be generated, where the first view is a raw data view, and the second view is a processed view of the transformed data.

Abstract: Methods, apparatus, and processor-readable storage media for automatically prioritizing supply chain-related demand using artificial intelligence techniques are provided herein.

Abstract: There are provided systems and methods for assisting consumers with merchandise purchases at a retail facility. The system may include an application to facilitate purchase of merchandise items at a retail facility, which may be executed on a user's mobile device. The application may receive input regarding items scanned at the retail facility using the mobile device and may facilitate payment for the scanned items by the mobile device. The system may also include a control circuit that: accesses database(s) to determine the user's purchase history; determines candidate items to be considered for recommendation to the user; computes a ranking of candidate items based on a weighted combination of recency and frequency of purchases of each candidate item, merchandise category of other candidate items, and price of the candidate item; and causes the display on the mobile device of additional recommended merchandise items for purchase by the user.

Abstract: The techniques herein include using an input context to determine a suggested action and/or cluster. Explanations may also be determined and returned along with the suggested action. The explanations may include (i) one or more most similar cases to the suggested case (e.g., the case associated with the suggested action) and, optionally, a conviction score for each nearby cases; (ii) action probabilities, (iii) excluding cases and distances, (iv) archetype and/or counterfactual cases for the suggested action; (v) feature residuals; (vi) regional model complexity; (vii) fractional dimensionality; (viii) prediction conviction; (ix) feature prediction contribution; and/or other measures such as the ones discussed herein, including certainty. The explanation data may be used to determine whether to perform a suggested action.

Abstract: Systems and methods which provide for auditable data are described. Data management systems of embodiments facilitate storage and management of various data (e.g., information regarding transactions, customers, infrastructure, geographic locations, medical records, etc.) for supporting data creation, manipulation, storing, and/or sharing by and among different parties. Users may create new and/or update data, digitally sign the data, and store the digital signature and data on immutable storage using data structures of a data management system. A data structure in which data and associated metadata is stored on immutable storage in association with a digital signature corresponding to the data and user may be used in providing data traceability and auditability. Snapshots of merged data may be implemented with respect to data having many updates to avoid delays in merging update data for queries for that data. A collaborative rating mechanism may provide trust levels with respect to the data.

Abstract: Methods and systems are presented for facilitating migration of electronic shopping carts between devices. A user generates an electronic shopping cart based on interacting with a merchant website using a first device. In response to receiving a request for transferring the electronic shopping cart, cart data associated with the electronic shopping cart is obtained. The cart data is encoded, using a selected encoding technique, into a code, which can be a phrase, an emoji string, a QR code, or an image of a face that can be transferrable to a second device. The code is presented on the first device. In response to receiving the code from the second device, the electronic shopping cart is re-generated based on the cart data extracted from the code. The electronic shopping cart is made accessible to the user via the second device.

Abstract: A system includes processing hardware, and a memory storing software code including a hierarchical user interface (UI). The processing hardware executes the software code to receive from a first user, via the hierarchical UI, project data describing a project, and a project task for completion by a second user, and to generate, using the project data, a node-based graph of the project including the project task. The processing hardware further executes the software code to receive, via the hierarchical UI in response to performance of at least a portion of the project task by the second user, a task progression or task completion data, update, using the task progression or task completion data, the node-based graph, and display to the first user, via the hierarchical UI, the updated node-based graph and the task progression data or task completion data.

Abstract: Embodiments are disclosed for a method. The method includes receiving feedback decision rules for multiple predictions by a trained machine learning model. generating a feedback rule set based on the feedback decision rules. The method further includes generating an updated training dataset based on an original training dataset and an updated feedback rule set. The updated feedback rule set resolves one or more conflicts of the feedback rule set, and the updated training dataset is configured to train the machine learning model to move a decision boundary. Generating the updated training dataset includes generating multiple updated training instances by applying one of the feedback decision rules to a training instance of the original training dataset.

Abstract: A system, method implemented on a computer system, and computer program product for generating an expression. A graphical representation of the expression comprising criteria blocks and logical operator blocks is displayed on a user interface. Each of the criteria blocks includes criteria information defining a criteria, an edit block control element, and a delete block control element. A user interface to receive changes to the criteria information for a selected criteria block is displayed in response to selecting the edit block control element for the selected criteria block. The selected criteria block is deleted from the expression in response to selecting the delete block control element for the selected criteria block. A building block may be used to define criteria for criteria blocks in several expressions. Criteria for expressions defined using a building block are changed automatically in response to changes to the building block.

Abstract: Genetic-variant data is obtained that corresponds to one or more variants associated with a client. Each of the one or more variants corresponds to an instance of one or more bases positioned at one or more first positions in a first genetic sequence differ from corresponding one or more bases positioned in a reference genetic sequence. The first genetic sequence is a genetic sequence of the client. Sensor data is obtained that provides an indication of one or more characteristics of a current or past environment of the client. The genetic-variant data and the sensor data is processed to generate a disease-risk metric corresponding to a predicted risk of the client developing a particular disease. A communication is generated that is indicative of the disease-risk metric. The communication is transmitted to a remote device.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable storage media for managing projects using references between the project and project items. Project items can be, for example, synchronized content items, collaborative content items, other projects, folders, tasks, user accounts, etc. The content management system can create a project identifier for managing data and/or people associated with a project. In various implementations, the content management system can store references between the project and project items in one or more folders associated with the project, in a database, in content item metadata, etc. In some implementations, the storage location of a content item does not affect whether it is associated with the project. When a project is selected by a user, the content management system can generate project view that presents various project items associated with the project in a convenient and easy to access graphical user interface.

Abstract: According to one aspect of the present disclosure, a system is provided which allows a network service provider to address providing service assurances to comply with each service level agreement (SLA) agreed to with customers. A translation system accesses one or more network service agreements and parses the one or more network service agreements into a processing format. The system then determines which network services are specified by the network service agreement, and determines service level agreements for each service. The translation system then generates one or more service level objectives for each service level agreement and one or more service level values for each service level objective. One or more metrics are then selected to be associated with each value to be measured to determine compliance with the service level agreement. The system then stores each of the service level agreements, objectives, values and metrics as objects.

Abstract: Systems and methods for asset fingerprinting can include probing, by one or more processors, each of a plurality of assets associated with a computer environment, and receiving, responsive to the probe, parameters for the plurality of assets. The one or more processors can cluster, using the parameters, each of the plurality of assets into respective cluster of a plurality of clusters of assets. The one or more processors can determine a profile of a cluster of the plurality of clusters. The profile can define one or more common features of assets of the cluster. The one or more processors can assign the profile of the cluster an unidentified asset of the cluster.

Abstract: A trust management system is provided for a network communication ecosystem having a plurality of participating entities. The trust management system includes a trust specification engine configured to define and manage trust relationships between a first entity and a second entity of the plurality of participating entities, a trust analysis engine configured to process the results of a trust query from the first entity to the second entity, a trust evaluation engine configured to evaluate the trust relationships managed by the trust specification engine, and a trust monitor configured to (i) monitor one or more trust triggers occurring relevant to at least one of the first and second entities, and (2) update a trust relationship between the first and second entities based on one or more monitored trust triggers.

Abstract: Processes for determining carbon dioxide emission impact. In one process, a carbon dioxide emission impact is determined for each stage of a multi-stage trip. A traveler may make adjustments to the trip to offset the carbon dioxide emission impact of the entire trip and achieve a desired sustainability level for the trip. In another process, that may be used in the first process, the carbon dioxide emission impact for a vehicle is determined based on the entire life span of the vehicle, including a carbon dioxide emission impact for a production stage, a carbon dioxide emission impact for a usage stage, and a carbon dioxide emission impact for an end of life stage.

Abstract: Embodiments of vehicle data systems for use in distributed computer network are disclosed. Particular embodiments may determine and enhance vehicle data from various data sources distributed across the computer network, and utilize the enhanced vehicle data in the determination of normalization metrics that account for geography and population density or spatial behavioral patterns. Embodiments may utilize these normalization metrics to assign zone labels to geographic areas and present representations of the geographic areas based on the normalization metrics across the distributed computer network.

Abstract: The present invention is directed to statistical methods for measuring cross-screen efficacy as it relates to advertising. The improved statistical methods provide the ability for advertisers and advertising agencies to predict the behaviors of consumers based on their aggregated cross-screen behavior. The system creates a new output that includes optimized user segments and classifications. A second part of the output is improved measurement and prediction of future consumer behaviors based on the processed multisided data on cross-screen behavior.

Abstract: A method for capturing data from an external cloud computing platform is provided. The method includes capturing data from an application maintained in the external cloud computing platform; identifying a data set from the data based on a predetermined criterion, the data set including a log usage form corresponding to a user; extracting the identified data set from the data; authenticating a connection between the external cloud computing platform and an internal cloud computing platform; publishing, via a network interface, the extracted data set to the internal cloud computing platform by using the authenticated connection; and storing the published data set in a database on the internal cloud computing platform.

Abstract: The techniques herein include using an input context to determine a suggested action. One or more explanations may also be determined and returned along with the suggested action. The one or more explanations may include (i) one or more most similar cases to the suggested case (e.g., the case associated with the suggested action) and, optionally, a conviction score for each nearby cases; (ii) action probabilities, (iii) excluding cases and distances, (iv) archetype and/or counterfactual cases for the suggested action; (v) feature residuals; (vi) regional model complexity; (vii) fractional dimensionality; (viii) prediction conviction; (ix) feature prediction contribution; (x) conviction ratio; (xi) contribution ratio; and/or other measures such as the ones discussed herein, including certainty. In some embodiments, the explanation data may be used to determine whether to perform a suggested action.

Abstract: Disclosed herein provides enhancements for operating a data access application service executing on a data access server system and an external computing system. In the data access server system, a request is received from a client device executing at least one of multiple application services for a dataset from one or more of multiple storage systems. In the data access server system, a data retrieval instruction is generated for the client device to access the dataset from the one or more of the multiple storage systems. The data retrieval instruction comprises task descriptions and a temporary credential. The data retrieval instruction is transferred to the external computing system via the client device and the requested dataset is retrieved and deployed based on the task descriptions and the temporary credential from the one or more of the multiple storage systems.

Abstract: Single-click delta analysis is disclosed. A user query of status information collected from one or more monitored devices is received from a user. In response to receiving an indication from the user to determine a variance between different portions of the collected status information, a target query and a baseline query are generated using the user query. The generated target query and the generated baseline query are performed, respectively, against data in a data store including the status information collected from the one or more monitored devices. A target set of status information results and a baseline set of status information results are obtained in response to performing, respectively, the generated target query and the generated baseline query. The obtained target and baseline sets of results are combined. Output indicative of a variance between the target and baseline sets of status information results is provided based at least in part on the combining.

Abstract: A system and method for determining a blast radius of a major incident occurring in a virtual desktop system is disclosed. The virtual desktop system has interconnected service components and provides access to virtual desktops by client devices. An event collection module collects events from the service components. An aggregation module merges the collected events in a time-ordered stream, provides context to the events in the time-ordered stream through relationships between the collected events, and generates a correlated event stream. An analysis module determines a stream of problem reports from the correlated event stream. The analysis module determines a spike in the stream of problem reports and determines the attributes of the problem reports in the spike to define the major incident. The analysis module determines a scope of the major incident and a corresponding attribute, to determine a blast radius associated with the major incident in the desktop system.

Abstract: Disclosed aspects relate to Internet of Things (IoT) data maturity management. A set of IoT data may be ingested by a data maturity engine. A set of maturity factors which indicates a fitness for utilization of the set of IoT data may be determined. The determining may occur with respect to the set of IoT data by the data maturity engine. A data management operation may be identified by the data maturity engine based on the set of maturity factors for the set of IoT data. The data management operation may be identified to manage the set of IoT data. The data management operation may be carried-out to manage the set of IoT data.

Abstract: Some embodiments provide a method for identifying competitors of a particular company. The method identifies a set of potential competitors of a particular company. For each potential competitors, the method calculates a score quantifying the competitive relationship of the potential competitor to the particular company. When the calculated score is above a particular threshold, the method associates the potential competitor as a competitor of the particular company.

Abstract: An information processing method includes: creating a first table; calculating a first response surface using the first table in which an object variable is recorded, the object variable acquired when experimental conditions of a first control factor is fixed to a first level value; adding the experimental conditions of the first control factor in which the first level value is set to the first table when the first response surface does not include a target value related to the object variable; creating a second table by adding a plurality of combinations of the experimental conditions for each of the plurality of control factors in which a first plurality of level values are set and the first control factor in which a second plurality of level values are set to the first table; calculating a second response surface including the target value using the second table; and outputting the second response surface.

Abstract: The present invention provides a data processing system and method for demand sensing and forecasting. The invention includes generating hierarchical data set from historical data of one or more objects and processing the hierarchical data based on one or more forecasting data models created by an artificial engine to predict data trend. The invention determines required safety stock for each category of the one or more objects.

Abstract: A method and system for controlling a cloud-based agricultural database system using a control system is disclosed. The control system includes a local voice input unit, wherein a user performs an agricultural activity, such as with an agricultural work machine in an agricultural environment. The agricultural activity, the user and the agricultural environment may be embedded in or associated with an agricultural context, with state data and/or planning data depicting the agricultural context being saved in an agricultural database system. The user may process, such as supplement, the state data and/or planning data while performing the agricultural activity by voice input via the local voice input unit.

Abstract: A computer system can receive position information indicating a current location of a user of the network transaction service from a computing device of the user, and generate map content for display on the computing device of the user based on the position information. The map content can indicate locations of a plurality of merchants within a vicinity of the current location of the user that utilize the network transaction service. The system can receive a transaction request from the computing device of the user, the transaction request indicating a transaction amount and a specified merchant of the plurality of merchants. The system then executes a remote transaction operation to transfer funds from a shared account of the network transaction service to a merchant account of the specified merchant to fulfill the transaction request.

Abstract: An example method includes: executing, by application analysis software executing in the virtualized computing system, process discovery agents on the VMs; receiving, at the application analysis software from the process discovery agents, process metadata describing processes executing on the VMs; generating signatures for the processes based on the process metadata; determining components of an application based on the signatures; determining components of an application based on the signatures; identifying, for a first component of the components, a component-specific metadata collector; executing, by the application analysis software, the component-specific metadata collector on a first VM of the VMs; and receiving, at the application analysis software from the component-specific metadata collector, custom metadata further describing a first process of the processes associated with the first component.

Abstract: A method and system of providing customer-specific information and guidance to insurance policyholders during claims processing. The information is created based on outputs from a claims complexity model, customer segmentation model, and claims service level objective (SLO) model. The resulting information is tailored to the individual policyholder and their claim, and includes a summary of their claim activity, guidance regarding their next steps, and predicted wait times for each stage in their claim's processing. In some embodiments, the information is presented as messaging delivered over the policyholder's preferred communication channel(s) that can differ based on which stage of the claims process the claim is in.

Abstract: An enterprise system server, a computer-readable storage medium, and a method for targeted training of inductive multi-organization recommendation models for enterprise applications are described herein. The method includes receiving enterprise application data from remote organization computing systems executing the enterprise application, training per-organization recommendation models for a subset of the organizations, and validating each per-organization recommendation model on enterprise application data corresponding to one or more other organizations.

Abstract: A device may receive a selection of a software product and test input data identifying inputs of a test case for the software product. The device may receive the software product based on the selection of the software product and may generate test data for the test case based on the test input data and the software product. The device may process the test data and the software product, with a machine learning model, to generate a test case plan that includes the test data and test steps and may generate test scripts for the test case plan based on the software product. The device may automatically cause the software product to execute the test scripts to generate test results and may perform one or more actions based on the test results.

Abstract: Embodiments of the present invention are directed to facilitating performing data extraction via efficient extraction rule matching. Generally, an extraction rule can be determined to match an event based on a two-step process. In particular, initially, a determination that a set of fixed substrings associated with the extraction rule matches fixed substrings of the event can be made. Based on fixed substring match, a determination can be made that a set of fields associated with the extraction rule matches fields of the event. In such a case, the extraction rule can be deemed to match the event and used to extract values from the event.

Abstract: Embodiments of systems and methods for indicating a type of secure boot to endpoint devices by a security processor are described. In some embodiments, a security processor may include: a core and a memory coupled to the core, the memory having program instructions stored thereon that, upon execution by the core, cause the security processor to: identify a type of secure boot last performed to bootstrap an Information Handling System (IHS); and make an indication of the type of secure boot available to a host processor or Baseboard Management Controller (BMC) of the IHS.

Abstract: A computer-implemented method for determining an emotional state of a user based on a facial expression of the user and causing to display the emotional state of the user to the user is provided.

Abstract: A system establishes an agent communication with a customer. An agent computer with a first processor and a first memory receives a batch notification identifying a batch of one or more customer records in the agent computer, for communication in the near future. The one or more customer records is associated with one or more customers. A second computer with a second processor and a second memory provides the batch notification identifying the batch of one or more customer records in the agent computer. The system connects the agent with the customer associated with a customer record selected from the batch by the agent.

Abstract: A method includes determining, by an analysis system, a system sector of a system for function evaluation. The method further includes determining, by the analysis system, at least one evaluation perspective for use in performing the function evaluation on the system sector. The method further includes determining, by the analysis system, at least one evaluation viewpoint for use in performing the function evaluation on the system sector. The method further includes obtaining, by the analysis system, function data regarding the system sector in accordance with the at least one evaluation perspective and the at least one evaluation viewpoint. The method further includes calculating, by the analysis system, a function evaluation rating as a measure of function maturity for the system sector based on the function data, the at least one evaluation perspective, the at least one evaluation viewpoint, and at least one evaluation rating metric.

Abstract: Methods and systems are provided that are directed to identifying an individual having a specific skill and that is best suited for performing a particular task. The individual may be identified based on having a highest score for the skill out of a pool of individuals having the same skill. In examples, a score specific to each individual out of the pool of individuals having the same skill may be based on multiple interactions with the skill and may be adjusted based on a recency of when each interaction occurred and a level of involvement the individual had with the skill. Accordingly, individuals having recent experience with the skill may be scored, and therefore, ranked higher than individuals having experience with the skill that may have occurred further back in time. In examples, the information about the skills and experiences may be utilized to automatically generate the score.

Abstract: Systems and methods are described for determining an accuracy of crowd-sourced information. One or more servers can be configured to interact with and receive information from a plurality of devices/sources about an event, which may include, for example, sensors, social media platforms, and user inputs. The system can analyze information about the source and information about the event received from a source to determine the reliability and accuracy of the received information. This information can be cross-checked with social media posts, nearby sensor data, and other inputs to verify authenticity and accuracy. If an event is verified or deemed reliable, an alert can be transmitted to one or more recipients.

Abstract: In accordance with the present invention, systems and methods that allow a television broadcast facility or a headend to insert in-band messages, where the inserted message allow receivers to switch to, insert, or otherwise show addressable advertisements to its viewers.

Abstract: Methods and systems for depicting avionics data anomalies in an aircraft. Time series data is received from the avionics data source, a future time is predicted when a first anomaly threshold will be crossed based on the time series data, and the future time when the first anomaly threshold will be crossed is depicted on a display device associated with the aircraft.