Abstract: The present invention provides a system, method and software for digitizing and automating an auditing process. The system comprises a computer, a regulations database, a storage database, and a software program. The method includes: providing regulations or standards for a user to select from the regulations database as a focus for an audit; providing a user-selected filtered regulation or standard from the regulations database; presenting the user a plurality of audit questions in the form of an audit row, one audit row at a time; receiving user responses from which at least one standard row item is created and/or updated; and sending one or more of a filtered regulation or standard row item to the storage database as an audit. The system may permit user information updates. After an audit is completed, the system may transfer the audit information into a final report, which may be provided to the user.

Abstract: A vehicle diagnosis method, a server and a diagnosis device are provided. The method includes: acquiring a request for acquiring diagnosis software sent by a diagnosis device, where the request comprises user information and vehicle information of a vehicle to be diagnosed; determining based on the vehicle information and sending to the diagnosis device a diagnosis software function module list, receiving from the diagnosis device information of the target diagnosis function module determined by a user; performing a corresponding operation for acquiring the target diagnosis function module based on a determining result of whether the user has an authorization qualification on the target diagnosis function module determined based on the user information and feeding back the target diagnosis function module to the diagnosis device, so that the diagnosis device to diagnose the vehicle to be diagnosed based on the acquired target diagnosis function module.

Abstract: A system for root cause analysis based on process optimization data is provided. The system receives log data associated with a first trace between a first activity and a second activity of a process. The system further determines a state of inefficiency between the first activity and the second activity based on the received log data. The system further applies a first machine learning (ML) model on the received log data. The system further determines a first label and a first value to be associated with the first trace of the process based on the application of the first ML model. The system further generates presentation data associated with the determined state of inefficiency of the first trace based on the determination of the first label and the first value and further transmits the generated presentation data on a user device.

Abstract: A system and computer-implemented method for detecting anomalies in industrial machine sensor data, including: computing, based on a received suspected anomalous level value of a sensory input data of each of the a plurality of sensory input data of a plurality of industrial machines that are located within a predetermined proximity, an average anomalous amount that is associated with at least a time interval; and determining that at least one of the plurality of suspected anomalies is an anomaly when a result of a subtraction of the computed average anomalous amount from each suspected anomalous level value of the plurality of sensory input data exceeds a predetermined threshold.

Abstract: Described are a system, method, and computer program product for authentication by augmented reality (AR) for fraud prevention. The method includes receiving AR map data of an authorized area of operation associated with a merchant. The AR map data is generated from an AR recording device and includes one or more environmental anchors and one or more virtual object reference points. The method also includes storing the AR map data in association with a merchant identifier and receiving a request for authentication of an operation by a merchant point-of-sale (POS) device. The method further includes communicating at least a portion of the AR map data to the merchant POS device for execution of an AR re-localization process, and, in response to success of the re-localization process by the merchant POS device, authenticating the operation.

Abstract: The system and method of the present invention expand/enhance modeling for credit risks scores. The expanded modeling system and methods discussed herein identify new credit risk related attributes using limited and/or unconventional credit data. In an aspect, the system and method enhance performance definitions to capture incremental insight, expanding the applicable consumer segments previously inaccessible.

Abstract: An apparatus and method for mapping user-associated data to an identifier. The apparatus includes a processor configured to store a plurality of user identifiers. User identifiers may be determined by way of user or by machine-learning modules or the like. Apparatus receives user-associated data from a user to be stored in a resource data storage system. User-associated data may include a plurality of data sets to be mapped to an identifier. Mapping a data set to an identifier may be user determined or use a machine-learning module. Apparatus is configured to update the immutable sequential listing associated with the data set with the mapped identifier.

Abstract: Systems, devices, and methods are described herein for calculating a trust score. The trust score may be calculated between entities including, but not limited to, human users, groups of users, organizations, or businesses/corporations. A system trust score may be calculated for an entity by combining a variety of factors, including verification data, a network connectivity score, publicly available information, and/or ratings data. A peer trust score targeted from a first entity to a second entity may also be calculated based on the above factors. In some embodiments, the peer trust score may be derived from the system trust score for the target entity and may take into account additional factors, including social network connections, group/demographic info, and location data. Finally, a contextual trust score may be calculated between the first and second entities based on a type of transaction or activity to be performed between the two entities.

Abstract: Computer-implemented systems and methods for water asset management are disclosed. The systems include water data services components having computer implemented modules for generating a prompt for a user to input a water asset identification number, retrieving and returning water asset metadata in response to input of a valid water asset identification number, generating a prompt for user validation of the returned water asset metadata, storing validated water asset metadata; communicating the stored and validated water asset metadata to an interplanetary file system (IPFS) for generation of a water asset metadata hash value, and storage of the water asset metadata hash value in a cloud table. The systems also include a cloud big table component comprising modules for storing and updating the cloud table.

Abstract: Systems, methods, and computer programming products for self-learning order dressing rules applied to manufacturing products in accordance with received product specifications. The translation from commercial characteristics to manufacturing characteristics of the product being manufactured are learned and adjusted to meet the specifications for quality required by the provided commercial characteristics. Reinforcement learning models learn from the quality characteristics of produced products by applying positive scores when the commercial to manufacturing characteristic translation is on-specification, otherwise a penalty is applied when an off-spec product is produced. Digital twins of manufacturing equipment, simulated in real time, provide insight and recommendations for achieving correct quality characteristics. Sensors in each device or within the surrounding environment help digital twins to measure operational performance and lifecycle of the manufacturing equipment against historical baselines.

Abstract: Described are systems and methods for tracking performance by monitoring and evaluating performance metrics on a repetitive basis to assign performance scores and incentivizing high performance by assigning awards to high performers. Multiple users may compete with one another for performance rankings and wager all or portions of award amount on their performance for future performance cycles to potentially increase future awards.

Abstract: A method, system, apparatus, and computer program product for efficiently outsourcing projects, such as software development projects, are presented. A business entity may precisely and succinctly define one or more requests for proposals (RFPs) using predefined service identifiers which specify discrete, short-term projects (e.g., 4 weeks or less) with fixed inputs and outputs and objective evaluation metrics which allow for each project to be evaluated using, for example, automated evaluation software tools. By posting RFPs on a web site, the business entity solicits bids from third party vendors to perform the project identified in the RFP. Since individual projects are identified with objective inputs, outputs, and evaluation metrics, vendors can bid on the project with minimal evaluation and speculation regarding the appropriate bidding price for the project.

Abstract: The present invention discloses a method, a system and a computer program product for risk management in supply chain. The invention includes structuring of risk data fields on an application user interface for creating risk data objects based on a SCM task. The invention includes predicting inherent risk associated with execution of the SCM task and generating control data fields on the application user interface for mitigating the inherent risk.

Abstract: Methods, non-transitory computer readable media, and computing devices are disclosed that obtains and stores a mapping of status values to process-blocks within stages associated with a linear process performed on an enterprise application network. A work item status in change records of the database is correlated with the status values based on the mapping to identify one of the stages for work items. Event records are then generated based on the correlation, activity records of the database, and another correlation of a unique identifier of one of the work items in each of the change and activity records. A generated value stream map (VSM) is then output for display that comprises a graphical timeline of activity associated with the linear process and metrics generated based on the event records and comprising real-time metrics for the process-blocks or stages and aggregate metrics for the linear process.

Abstract: Systems and methods for generating units of work in a collaboration environment are disclosed. Exemplary implementations may: manage environment state information including work units records describing units of work assigned to individual users within the collaboration environment, individual sets of work unit records being defined by a record hierarchy, individual units of work including one or more digital content items; obtain user input information conveying user input on, or relating to, individual digital content items of the individual units of work; generate one or more work unit records based on the user input information, such that responsive to the user input information conveying first user input by a first user on, or relating to, a first digital content item, generate a second work unit record describing a second unit of work, the second work unit record being subordinate to a first work unit record; and/or perform other operations.

Abstract: Techniques are disclosed for adjusting a ranking of information content presented to a user based on voice-of-customer feedback. In one embodiment, a user may provide feedback on information content presented to the user. Such feedback may be evaluated to identify at least one topic referenced in the received feedback. If an application determines that the at least one topic is related to topics of the information content, the application determines sentiment regarding the information content based on the feedback, and adjusts a ranking of the information content based on the determined sentiment.

Abstract: Introduced here are systems to manage and discover a processing offloader. A first multimedia device may identify a processing offloader in a networked environment. A first multimedia device may determine that a bandwidth of a second multimedia device in the networked environment falls below a threshold bandwidth, indicating that the second multimedia device may process instructions and render multimedia information with increased latency or delay. Based on this determination, the first multimedia device may forward instructions from the second multimedia device to the processing offloader for the processing offloader to process and render multimedia information on behalf of the second multimedia device based on the received instructions. The first multimedia device may forward rendered multimedia information from the processing offloader to the second multimedia device, and the second multimedia device may output the rendered multimedia information to an output device.

Abstract: In some embodiments, apparatuses and methods provide long term scheduling at a plurality of retail stores including storing a forecasted data over at least eight weekly scheduling periods; determining based on the forecasted data a first baseline hours demand value for each day of a week for each job function of a first set of job functions at a particular retail store; determining based on the forecasted data a second baseline hours demand value for each day of the week for each job function of a second set of job functions at the particular retail store; based on the first and second baseline hours demand values, automatically generating a plurality of fixed schedules for a set of task resources at each of the plurality of retail stores; accessing a first fixed schedule associated with the first task resource; and displaying the first fixed schedule.

Abstract: Disclosed herein are systems and method for determining data storage insurance policies. In an exemplary implementation, a method comprises receiving a request to add a data storage insurance policy to a plurality of data files. The method comprises extracting data file attributes and determining a data recovery score for each respective data file based on a uniqueness, criticality, and/or importance of the respective data file. The method comprises determining a hardware score for each of a plurality of performance tiers comprising at least one storage server, based on an available capacity, a performance cost, and/or data recovery scores of data files currently stored at each of the plurality of performance tiers. The method comprises selecting and executing a data storage insurance policy for the respective data file based on a plurality of data recovery rules and/or the comparison of the data recovery score and the hardware score.

Abstract: Accessing and organizing data sets directly from a data warehouse including receiving, by a data analyzer, a request from a service provider client instructing the data analyzer to retrieve a data set from a service provider data warehouse, wherein the service provider client is a client of a service provider, and wherein the service provider data warehouse stores data sets for the service provider; retrieving, by the data analyzer, the data set directly from the service provider data warehouse using credentials provided by the service provider; selecting, by the data analyzer, a worksheet template based on the service provider; organizing, by the data analyzer, the data set into a worksheet based on the worksheet template; and presenting, by the data analyzer to the service provider client, the worksheet comprising the data set.

Abstract: A method includes receiving, using a first GUI, information associated with multiple RFXs to be generated and provided to multiple suppliers. The method also includes identifying multiple bid groups associated with different groups of materials from at least one bill of materials to be potentially sourced from different groups of suppliers. Some information received using the first GUI varies for different bid groups. The method further includes identifying one or more acquisition scenarios based on the received information. The method also includes generating the RFXs based on the received information, the identified bid groups, and the identified acquisition scenario(s), where different RFXs are associated with different bid groups. The method further includes receiving, using a second GUI, an RFX response from each of at least some of the suppliers. In addition, the method includes presenting a third GUI that is based on at least one of the RFX responses.

Abstract: Presenting a content item and a question from an inquirer to a group of users in a first feedback session with a requirement for the users to provide predictions of how a member of a distinct target group will respond to the content item in the future, receiving, during the first feedback session, the first group's prediction of the target group's future responses, presenting, during a second feedback session, the same content item and the same question to the target group with a requirement for the target group to provide responses directed to their own responses, constructing a predictive model of the target group based on responses received from the target group during the second feedback session, measuring accuracy of the first group's prediction using the target group predictive model, and providing inquirer access to the predictive model of the target group and the most accurate prediction.

Abstract: A remote support system facilitates assignment of vehicles to remote support agents for providing teleoperation or other remote support services. The remote support system may generate assignments based on a mapping function that optimizes various parameters based on sensed data associated with the vehicle, a requested service mode of the vehicle, or other factors. In some situations, the remote support server assigns a redundant set of remote support agents to a vehicle that provide similar command streams. The vehicle selects between the command streams to minimize latency or another performance parameter. Alternatively, the remote support server assigns multiple diverse remote support agents to a vehicle that generate diverse command streams. A proxy agent then generates a consensus command stream for providing to the vehicle.

Abstract: Methods and systems are described for generating recommendations based on non-delineated records collected by a data aggregation service during communications between users and content sources. For example, based on collecting records on exchanges between users and content sources that is traditionally neither stored nor identified by either party, a data aggregation service may generate recommendations related to future exchanges of content between the same or different users and/or the same or different content sources.

Abstract: A system and method for a psychological-based approach for organizational growth of a business is described herein. The method is executed by an engine, an application, a software program, a service, or a software platform on a computing device. The engine includes an artificial intelligence (AI) component. The method includes: capturing data associated with a project continuously and in real-time, combining the captured data with other data to create a data set, utilizing the data set to better predict and drive a resolution of one or more problems associated with the project, outputting a plurality of frameworks to address the one or more problems, receiving a selection from a user of a framework from the plurality of frameworks to address the one or more problems, executing a base build using the selected framework to address the one or more problems.

Abstract: A computer-implemented method for providing an estimated utility expenditure to a user may include: obtaining, via one or more processors, historical transactional data of one or more customers other than the user from one or more transactional entities, wherein the historical transactional data includes: at least one address of a given customer of the one or more customers; and a historical utility expenditure associated with the at least one address; generating, via the one or more processors, a heatmap based on the historical transactional data of the one or more customers via one or more algorithms, wherein the heatmap is indicative of at least the estimated utility expenditure associated with the at least one address during a predetermined period; and causing a display of a user device associated with the user to demonstrate the heatmap.

Abstract: An automated root-cause analysis (RCA) system may provide a fully automated platform that provides dependency and execution order modeling for tasks included in a capacity provisioning process, anomaly detection, ticket correlation, root-cause analysis, monitoring and feedback, and data visualization. The automated RCA system may continuously collect and store data for use in determining a root cause of a blockage on a capacity provisioning process. The blockage may be identified in a ticket generated by a cloud-computing system. The automated RCA system may receive the ticket and attempt to determine the root cause of the blockage based on root causes associated with previous tickets generated by the cloud-computing system. The automated RCA system may identify a true root cause, recommend repair items based on the true root cause, identify one or more responsible teams to drive a fix, and provide an estimated time for completion.

Abstract: An apparatus and method for mapping user-associated data to an identifier. The apparatus includes a processor configured to store a plurality of user identifiers. User identifiers may be determined by way of user or by machine-learning modules or the like. Apparatus receives user-associated data from a user to be stored in a resource data storage system. User-associated data may include a plurality of data sets to be mapped to an identifier. Mapping a data set to an identifier may be user determined or use a machine-learning module. Apparatus is configured to update the immutable sequential listing associated with the data set with the mapped identifier.

Abstract: A system performs a loss factor determination which refers to, for each of two or more different Ms from among 4 Ms (Man, Machine, Material, and Method), a time series data group representing a time series of a state of an element belonging to the M, and which determines, for each period between time points, whether or not a state combination in the same period between time points corresponds to one or a plurality of loss state combinations. In each period between time points, the state combination is a combination of two or more states belonging to the period between time points and corresponding to the two or more Ms. The loss state combination is a state combination defined as an opportunity loss. With each loss state combination, a loss factor, which is a factor of an opportunity loss corresponding to the loss state combination, is associated.

Abstract: A method and a system are disclosed for solving a mixed-integer programming problem, the method comprising obtaining an indication of a mixed-integer programming optimization problem; until a performance criterion is met: providing the mixed-integer programming optimization problem to an optimization oracle adapted for solving the mixed-integer programming optimization problem using a feasibility pump technique and comprising an optimization solver, initializing parameters of an optimization oracle and an initial solution pair, the parameters comprising Monte-Carlo simulation parameters, a list of neighborhood functions and a measure of fractionality, and performing iterative calls to the optimization solver until a stopping condition is met; and providing at least one corresponding solution obtained from the optimization solver.

Abstract: Various embodiments are described for dynamic value stream management. A computing environment is directed to receive a stream of metrics from station computing devices each positioned at a station in a manufacturing process, where individual ones of the station computing devices have a sensor configured to generate metrics. The computing environment may determine an optimal allocation of resources for each of the stations in the manufacturing process based at least in part on the metrics. If a cycle time of a station falls below a threshold, personnel from another satisfactorily-performing station may be reassigned to the station based on cross-training metrics. A recommended action for the stations may be determined and presented in a display device.

Abstract: A model requester node, which is an edge node of a cloud computing network, generates a specification of a machine learning model, distributes the specification to a plurality of other edge nodes, and receives replies to the specification from the plurality of other edge nodes. In response to the replies, the model requester node identifies a set of participating edge nodes based on a learning utility and a cost estimate of each of the plurality of other edge nodes. The model requester node then trains the machine learning model, without exchanging training data among the model requester node and the participating edge nodes, by repeatedly: distributing most recent parameters of the machine learning model to the participating edge nodes; receiving updates to the most recent parameters from the participating edge nodes; and establishing new parameters for the machine learning model by aggregating the updates from the participating edge nodes.

Abstract: A method for issuing control signals in response to sentiment. In some embodiments, the method includes: assigning, to each of a plurality of comments, a respective topic vector of length k; determining whether a largest element of the topic vector of a first comment of the plurality of comments exceeds a weight threshold; in response to the determining that the largest element exceeds the weight threshold, classifying the first comment into a first topic, of k topics, the first topic corresponding to the position, in the topic vector, of the largest element of the topic vector; calculating a first sentiment score; calculating an average sentiment score, based in part on the first sentiment score; determining whether the average sentiment score meets a criterion; and in response to the determining that the criterion is met, generating a control signal, the control signal including a message related to the first topic.

Abstract: In an example, a computer-implemented method to structure an analytical workflow that improves reasoning based on a problem context and demonstrated abilities of each individual user may include displaying a reasoning problem to an analyst. The method may include receiving input from the analyst to identify a reasoning problem type of the reasoning problem. providing a recommended analytic approach for the reasoning problem type to the analyst. The method may include assisting the analyst in analyzing and evaluating one or more information sources relevant to the reasoning problem. The method may include guiding the analyst through a structured technique (ST) to support reasoning of the analyst in formulation of a solution to the reasoning problem. The method may include generating a report that includes the analyst's solution to the reasoning problem based on input from the analyst.

Abstract: Disclosed are systems, computer servers, and methods to provide features of an automotive commerce exchange platform to users via a single sign-on. A computer server is configured to provide a plurality of different third-party features of a plurality of different third-party feature providers on the automotive commerce exchange platform, and to provide to the users, via user devices, access to individualized subsets of the third-party features via a plurality of single individualized sets of sign-on credentials. Each single individualized set of sign-on credentials corresponds to a different user.

Abstract: Approaches relating to customer service management for recurring revenue assets are described. A CSM application or other CSM software tool (or set of tools) can include features relating to customer lifecycles, product usage, and/or customer success, each of which can be monitored based on various analytical measures, metrics, indicators, etc. provided by one or more analytical engines. Systems, methods, computer program products, and the like are described.

Abstract: The present application includes a method and system for gathering customer information through games. The system transmits offers to play games over the contact medium used by the customer. The games are selected to elicit information from the customer; information ranging from the customer's mood to marketing information to security information. The information so obtained can be used to update client profiles.

Abstract: There is disclosed a method and system for determining a productivity rate of a user in a computer-implemented crowd-sourced environment. The method comprises, in a training phase: acquiring a training project; determining, set of project-specific features indicative of one or more characteristics of the training project; acquiring, a plurality of training results; determining a set of user-task specific features; determining, a user activity history associated with the user; generating a set of training data including the set of project-specific features, the set of user-task specific features, and the user activity history; training a machine learning algorithm (MLA), the training including: determining, a set of features representative of a property of the set of training data; and generating an inferred function based on the set of features, the inferred function being configured to determine the productivity rate of the user for a given project.

Abstract: Systems and methods for optimizing application experiences on devices in an enterprise while maintaining privacy compliance are provided. An enterprise model management service of the enterprise accesses, from a centralized software service, a model comprising one or more rules to be applied to an application. The model is provided to devices of a first cohort, whereby a rule of the model causes an action associated with the application to occur at each device. User metrics associated with the action at each device of the first cohort is aggregated. The user metrics indicate a result of the action at each device. The aggregated user metrics are analyzed, whereby the analyzing includes determining a second cohort at the enterprise. The model is then provided to devices of at least a portion of the second cohort. No user metrics are returned to the centralized software service thus maintaining privacy compliance.

Abstract: Systems for centralized processing of regulatory control events. A method embodiment applies regulatory compliance rules against regulatory control events that occur at a plurality of heterogeneous remote cloud-based systems. A centralized cloud-based platform manages the compliance of the plurality of heterogeneous remote cloud-based systems by applying a set of data compliance rules pertaining to regulatory controls. The regulatory controls pertain to data access events and data manipulation events that occur on the plurality of computing systems. The centralized cloud-based platform receives control event messages, the control event messages being raised any one or more of the heterogeneous remote cloud-based systems. Rules are processed against the received control event messages to determine a set of compliance actions.

Abstract: A first hierarchy path associated with a first interface of a first provider is determined, with the first interface being of a first type. A second hierarchy path associated with a second interface of the first provider is determined, with the second interface being of a second type different from the first type. The first hierarchy path is determined to be a mismatch from the second hierarchy path. A third hierarchy path corresponding to another interface of the first type is obtained from a second provider. A dictionary is generated based on a determination that the third hierarchy path matches the first hierarchy path. A vector that corresponds to a third interface is generated based on the dictionary. As a result of the third interface being determined to be of the first type based on the vector, a device is caused to perform an operation against the third interface.

Abstract: A method of performing an online assessment of compliance with cyber-security risk and information security risk standards, comprising the steps of providing access to a user to a compliance navigator software tool, the compliance navigator software tool comprising a content management system an assessment module, an access control module, an audit module, and an automated testing module, presenting a plurality of assessment questions to the user by executing the assessment module, assessing answers to the plurality of assessment questions using the assessment module, the assessment module comprising machine-readable instructions stored on the non-transitory machine-readable storage medium, and displaying results of the assessment to the user.

Abstract: Described is a method for generating a score risk (IR), the method comprising the steps of: receiving at least one purchase order for at least one asset (DC), the purchase order of the asset generated from an agreement (A) established between a first entity (C) and a second entity (V), the agreement linked to the performance of an action between the entities. The generation of the agreement (A) also generates an ideal transactional ballast (LI) comprising a plurality of ideal markers wherein each one of the ideal markers is related to the agreement (A) established between the entities (C,V). The performance of the action between the entities generates a real transactional ballast (LR) comprising a plurality of real markers, wherein each one of the real markers is related to the action carried out between the entities, wherein the method further comprises the step of generating and updating the score risk based on the comparison between each one of the real markers and each one of the ideal markers.

Abstract: A modeling server is in communication with multiple databases and/or knowledge systems. The modeling server may utilize predetermined rules for suggesting design elements such as plants, lighting, fencing, irrigation, and more. The modeling server may acquire legal information pertaining to the project, based on jurisdictions that contain the location of the project. The modeling server may further generate one or more teams to implement the project, including, but not limited to, design teams, construction teams, and/or management teams. The modeling server may further produce a rendering and/or simulation of a landscaping or landscape architecture project to facilitate improved customer engagement, which may result in increased customer satisfaction as well as improved project performance in terms of scheduling, budget, and longevity of the project.

Abstract: A method for operating a self-orchestrated system for extraction, analysis, and presentation of entity data involves extracting a web page to object-based storage including web page content, web page metadata and a globally unique identifier. The method extracts the web page metadata from the object-based storage. The method inputs the web page metadata to a queue. The method pulls web page content from a content store. The method receives RegEx from a model parameter store. The method parses the web page content using RegEx and web page metadata. The method passes web page metadata and extracted content from the web page and positions of extracted content to an advanced analysis function decider (AAF Decider) for analysis. The method streams web page metadata and extracted content from the web page and positions of the extracted content to a JSON file batch for flattening.

Abstract: A printer includes: a printing section configured to perform printing using a plurality of printing materials contained in corresponding printing material containers, a display section configured to display respective remaining amounts of the individual printing materials contained in the corresponding printing material containers; and a controller configured to control display on the display section, wherein the controller performs display control so as to match the display on the remaining amount of a second container other than the first container with the display on the remaining amount of a first container having a smallest remaining amount among the plurality of the printing material containers.

Abstract: A system that provides a safety rating for a driver or a vehicle to a rider of the vehicle. Information including diagnostic information such as sensor information and location information is used to determine the safety rating. By having a high safety rating, the rider of the vehicle has some level of assurance that the vehicle will arrive at a designated location.

Abstract: A portable handheld device receives from a central repository, information on a failed hardware component of a computational device, wherein the information includes an authentication code to permit access to the failed hardware component and a time window in which the failed hardware component is permitted to be accessed. The portable handheld device uses the authentication code to access the failed hardware component for repair or replacement during the time window.

Abstract: Information is gathered on microservice interactions. Two or more microservice failures are detected. For each microservices failure, a microservice restoration time is determined. An expected total cost of a downtime for each microservice is determined. Based on the determined expected total cost of the downtime for each microservice, an order of microservices to restore is determined.

Abstract: The present disclosure describes systems and methods for identifying products that are implicitly published in an image, e.g., where there is no identifying text or comments that identify the brand of the product. A product entity may be identified based on comments posted in response to the posting of the image. An analysis of the image may be performed based on the identified product entity to find items or products of a type of the identified product entity in the image. A product detected in the image may be compared to a database of products of the type of product entity to determine which product was posted in the image.