Abstract: An approach is provided in which the approach builds a combination model that includes a normal status model and an abnormal status model. The normal status model is built from a set of time-sequenced normal status records and the abnormal status model is built from a set of time-sequenced abnormal status records. The approach computes a set of time-sequenced coefficient combination values of the normal status model and the abnormal status model based on applying a set of fitting coefficient characteristics to the normal status model and the abnormal status model. The approach performs goal seek analysis on a system using the combination model and the set of time-sequenced coefficient combination values.

Abstract: A universal deep probabilistic decision-making framework for dynamic process modeling and control, referred to as Deep Probabilistic Decision Machines (DPDM), is presented. A predictive model enables the generative simulations of likely future observation sequences for future or counterfactual conditions and action sequences given the process state. Then, the action policy controller, also referred to as decision-making controller, is optimized based on predictive simulations. The optimal action policy controller is designed to maximize the relevant key performance indicators (KPIs) relying on the predicted experiences of sensor and target observations for different actions over the near future.

Abstract: A method for automatically assessing project health and providing persona-based recommendations to improve the project health is provided. In some embodiments, the method includes identifying a set of metrics to be monitored for a project; calculating different levels of scores based on the set of metrics, each score being a health indicator of the project; analyzing the different levels of scores; identifying different levels of actions corresponding to the different levels of scores, an action being taken to improve an improvement area of the project; determining a user role of a user; identifying and providing a type of analytic view for the user based on the user role and analyzing the different levels of scores; and notifying the user to take the action corresponding to a level of scores based on the user role.

Abstract: Methods, apparatus, and processor-readable storage media for request processing for configurable information technology solutions are provided herein. An example method includes obtaining a request that is to be processed based on a current configuration of a system, wherein the system comprises a plurality of items and each item comprises a set of components, each of the components having one of a plurality of types; obtaining component-level information for the plurality of items from multiple data sources; determining the current configuration of the system by applying one or more rules to the component-level information that identify at least one particular one of the types of at least one of the components in each of one or more of the sets and a quantity of the components of the at least one particular type that are in the corresponding set; and processing the request based on the determined current configuration.

Abstract: An image processing unit (110) acquires a position of an advertisement and a position of a product by analyzing an image in which the product and the advertisement are disposed on a shelf rack are captured. A determination unit (120) determines whether or not a relation between the position of the product and the position of the advertisement satisfies a criterion. An output unit (130) outputs information indicating a determination result obtained by the determination unit (120).

Abstract: Methods and systems for managing data collection in a distributed system are disclosed. The system may include a data aggregator and a data collector. The data aggregator may aggregate data collected by the data collector. To reduce the computing resources used to aggregate data, the data aggregator and data collector may implement a multi-stage data reduction processes to reduce the quantity of data transmitted for data aggregation purposes. The multi-stage data reduction process may include implementing twin inference models at the aggregator and collector, identifying relationships in the data collected by the data collector, transmitting a portion of the collected data to the data aggregator based on acceptable level of error for use of the collected data, and reconstructing the un-transmitted portion of the collected data at the aggregator. The reconstructed portion of the collected data may include the acceptable level of error.

Abstract: Automatically identifying insights from a dataset and presenting the insights graphically and in natural language text ranked by importance is provided. Different data types and structures in the dataset are automatic recognized and matched with a corresponding specific analysis type. The data is analyzed according to the determined corresponding analysis types, and insights form the analysis are automatically identified. The insights within a given insight type and between insight types are ranked and presented in order of importance. Insights include those having multiple pipelined attributes and other insights include multiple insights identified as having some relationship for the included insights.

Abstract: A system for efficiently configuring bindings based on a dependency graph is described. The system may generate or access a graph comprising a set of nodes. Each node may represent a binding and is associated with a component property of a component hierarchy corresponding to a hierarchical structure of a data model. Each node of the graph may be connected to at least one other node with an edge representing a dependency in the hierarchical structure of the data model. The system may receive a request to generate a view associated with the set of bindings. The system may determine an order to load the set of bindings based on the graph, and may load the set of bindings based on the determined order.

Abstract: The present disclosure relates to systems, non-transitory computer-readable media, and methods for maintaining the anonymity of survey respondents while providing useful data to an analyst. In particular, in one or more embodiments, the disclosed systems utilize various anonymity protections based on various anonymity thresholds. For example, the presently disclosed systems and methods may disallow or modify potentially identifying data filters, including generating alternate data groupings. Further, the systems and methods may modify text responses to reduce identification risk.

Abstract: A method includes receiving, at a robot being in communication with a control center communication module of a control center, an instruction to relocate a cart to a location where a set of items are stored. The method further includes moving, by the robot, to a second location where the cart is positioned; (2) activating, by the robot, a motor of a latch fastening system to cause movement of a latch arm resulting in a latch being exposed; (3) removably engaging, by the robot and using the latch, the cart via a latching feature of the cart; (4) moving, by the robot, the cart from the second location to the location where the set of items are stored; and (5) transitioning, by the robot, a subset of the set of items to the cart in accordance with the instruction.

Abstract: Various embodiments of the teachings herein include a computer-implemented method for automatic derivation of attributes of software engineering artifacts, which attributes arise from technical boundary condition of products or services, the method comprising: deducing technical requirements based on classifications of the technical boundary conditions; and mapping the deduced technical requirements of the artifacts to engineering disciplines and concerns.

Abstract: Various embodiments of the present invention are directed to systems and methods for tracking the location of a shipped item. According to various embodiments, the systems and methods may include features designed to determine whether the shipped item is likely to comply with customer-defined shipping requirements throughout the entire shipping process. In various embodiments, the systems and methods are configured to indicate to a user certain shipments that are likely to arrive without complying with all of the customer-defined shipping requirements, such that a user can take remedial action to minimize or eliminate the likelihood of the shipment failing to comply with the customer-defined shipping requirements.

Abstract: A system for incremental solution of the shift design and assignment problem comprises an interface configured to receive an incremental change and an existing schedule. The system comprises a processor to determine whether labor demand has changed; in response to labor demand having been changed, generate an updated set of shift candidates; determine a new cost function; restart a solver using the updated set of shift candidates, the existing schedule, the incremental change, and the new cost function, wherein the solver comprises a mixed integer programming (MIP) solver, and wherein the MIP solver determines simultaneously a subset of the shift candidates selected in the final schedule and a set of shift assignments of which worker is assigned to which selected shift candidate of the subset of shift candidates.

Abstract: Particular embodiments manage distribution of tasks to heterogeneous group of computing devices is disclosed. Computing devices in the group may have disparate attributes that may affect handling of a specific task (e.g., processing speed, network bandwidth, GPU availability, utilization, type of operating system, availability of certain utilities). Tasks may be received from task-requester computer systems, and each task may be associated with an information set. This information set may comprise a description of the task, a token to be provided for completion of the task, and at least one task-processing rule for a task result provided by one or more computing devices involved in handling the task. Task results are received and compared to the task-processing rule until the task-processing rule is satisfied.

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

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for monitoring technology usage and performance. In some implementations, use of a technology item by one or more individuals assigned to use the technology item is monitored. Based on the monitoring, usage data that indicates usage of the technology item is generated. One or more criteria for evaluating the usage of the technology item by the one or more individuals is identified. It is determined whether usage data satisfies the one or more criteria. A system provides, for display on a user interface, output data indicating whether the usage data satisfies the one or more criteria.

Abstract: Techniques regarding multivariate time series data analysis are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can comprise a time series analysis component that generates a machine learning model that discovers a dependency between multivariate time series data using an attention mechanism controlled by an uncertainty measure.

Abstract: Triggering a prioritized alert and provisioning an action may include receiving historical data associated with a set of projects, the historical data spanning multiple consecutive time periods. A hierarchical data structure is generated that includes occurrences of performance factors in the historical data. Based on the hierarchical data structure, Bayesian scores associated with the performance factors are derived, the Bayesian scores representing likelihood of the performance factors occurring in a given project. The performance factors are ranked based on the Bayesian scores. Based on ranking, an alert and an action may be automatically triggered.

Abstract: Embodiments of the present invention provide a system for intelligently optimizing the utilization of clusters. The system is configured to continuously gather real-time hardware telemetric data associated with one or more entity systems via a hardware telemetric device, continuously convert the real-time hardware telemetric data into a first color coded representation, receive one or more tasks associated with one or more entity applications, queue the one or more tasks associated with the one or more entity applications, determine hardware requirements associated with the one or more tasks, determine one or more attributes associated with the one or more tasks, convert the hardware requirements and the one or more attributes of the one or more tasks into a second color coded representation, and allocate the one or more tasks to the one or more entity systems based on the first color coded representation and the second color coded representation.

Abstract: In an embodiment, a method for optimizing computer machine learning includes receiving an optimization goal. The optimization goal is used to search a database of base option candidates (BOC) to identify matching BOCs that at least in part matches the goal. A selection of a selected base option among the matching BOCs is received. Machine learning prediction model(s) are selected based at least in part on the goal to determine prediction values associated with alternative features for the selected base option, where the model(s) were trained using training data to at least identify weight values associated with the alternative features for models. Based on the prediction values, at least a portion of the alternative features is sorted to generate an ordered list. The ordered list is provided for use in manufacturing an alternative version of the selected base option with the alternative feature(s) in the ordered list.

Abstract: The disclosed technology teaches automating evaluation of QoE for data communication services in a wireless network—accessing performance indicators, mappings for the performance indicators to SKQIs in a SKQI parameters table, and mappings for SKQIs to KQIs in an SKQI-to-KQI mapping table. The disclosed method includes configuring first and second functions that, respectively, roll up performance indicators into SKQIs based on parameters stored in the SKQI parameters table to calculate SKQI scores and weights, and roll up SKQIs into KQIs and QoE based on parameters stored in SKQI-to-KQI and SKQI-to-QoE mapping tables, to calculate KQI and QoE scores. Also disclosed is generating first SQL statements that invoke the first function to calculate the SKQIs and second SQL statements that invoke the second function to calculate KQIs and QoE, storing generated first and second SQL statements in non-volatile storage and calculating KQIs and QoE using the automatically generated SQL statements.

Abstract: A model management system receives data for an inventory of models including data regarding issues for each of the models. The model management system determines a model risk score for each of the models based on the issues for each of the models. As the issues are opened and closed, the model management system receives updates and in real-time, updates the model risk score. The model risk score can be determined using a severity assigned to each issue for each of the open issues for a given model as well as the number of issues at each severity. Risk scores can be calculated across a line of business and across an enterprise, for example. The model management system also provides one or more of: model development, model validation, model integration, model use, model maintenance, and model retirement.

Abstract: A method includes receiving input identifying a dimensional framework and forecasting time period. The method also includes generating a workforce plan based on the dimensional framework and the forecasting time period. The method further includes receiving first data defining a first scenario of the workforce plan, where the first scenario is associated with at least a first turnover assumption, and determining a first set of forecasted headcount values corresponding to the first scenario. The method includes receiving second data defining a second scenario of the workforce plan, where the second scenario is associated with at least a second turnover assumption that differs from the first turnover assumption, and determining a second set of forecasted headcount values corresponding to the second scenario. The method includes generating graphical user interface (GUI) data that includes a comparison of the first set of forecasted headcount values and the second set of forecasted headcount values.

Abstract: Systems, methods, and software can be used to manage tasks on an electronic device. In some aspects, a computer-implemented method comprises: determining, by an electronic device, that a last calendar event associated with a task has been completed; in response to determining that the last calendar event has been completed, outputting, on the electronic device, a task user interface, wherein the task user interface comprises a task status field; receiving, through the task user interface, a user input indicating a task status value; and updating, by the electronic device, a task status based on the task status value.

Abstract: Systems and methods are provided for dynamic generation of staff analytics and forecasts based on skill and service level. Dynamic forecasting allows for forecast generation in real-time and may be based on historical data regarding skills and results, as well as data science to identify patterns and make predictions. The resulting staffing forecast may therefore provide for efficient management of messaging staff costs while preserving the desired service quality. The staffing forecast may include a volume forecast that is tailored to the unique nature of asynchronous messaging, as well as the unique messaging needs of the entity so as to efficiently manage messaging operations and make data-driven staffing decisions that take service level into account. An exemplary embodiment may include dynamic analytics tools that may use specified target and/or resource numbers (e.g., desired service level) for an existing messaging operation and get a detailed per-skill staffing forecast.

Abstract: Soil moisture monitoring systems and methods for measuring mutual inductance of area of influence using radio frequency stimulus are disclosed herein. An example device includes a master element stacked vertically on top of one or more slave elements. The master element and slave elements can communicate through a 1-wire bus configuration. The master element can determine the presence and location of each of the one or more slave elements using an auto-discovery process. The master element can issue commands to the one or more slave elements to obtain moisture readings and/or temperature readings.

Abstract: Examples in this application disclose information sharing computer-implemented methods, media, and systems. One example computer-implemented method includes obtaining, from an external server at a trusted execution environment (TEE), a trigger instruction, in response to obtaining the trigger instruction, combining, at the TEE, first anti-money laundering (AML) risk information provided by a first institution and second AML risk information provided by a second institution to obtain third AML risk information, where the first AML risk information and the second AML risk information correspond to a user identifier, and sending, from the TEE to the first institution, the third AML risk information.

Abstract: Three-dimensional (3D) imaging systems and methods are described for implementing virtual grading of package walls in commercial trailer loading. The 3D imaging systems and methods comprise capturing, by a 3D-depth camera, 3D image data of a vehicle storage area. A package wall is determined, based on the set of 3D image data and by a 3D data analytics application (app) executing on one or more processors communicatively coupled to the 3D-depth camera, a package wall within the vehicle storage area. A wall grade is assigned to the package wall, where the package wall is defined within the set of 3D image data by a plurality of packages each having a similar depth dimension, and wherein the package wall has a wall height.

Abstract: An on-premises system for pre-processing data for forecasting according to an embodiment includes at least one processor and at least one memory having a plurality of instructions stored thereon that, in response to execution by the at least one processor, causes the on-premises system to receive a request to forecast contact center data using a cloud system, determine a first number of interactions per unit of time for a source interval, determine a second number of units of time in a destination interval, and determine a third number of interactions in the destination interval based on the first number of interactions per unit of time for the source interval and the second number of units of time in the destination interval.

Abstract: Three-dimensional (3D) imaging systems and methods are disclosed for detecting and dimensioning a vehicle storage area. A 3D-depth camera captures 3D image data comprising one or more 3D image datasets of the vehicle storage area during corresponding one or more image capture iterations. A 3D data analytics application (app) executing on one or more processors communicatively coupled to the 3D-depth camera and for each one or more image capture iterations, updates a number of planar regions detected within the one or more 3D image datasets. The 3D data analytics app further assigns a vehicle storage area type to the vehicle storage area based on the number of planar regions detected by the 3D analytics app over the one or more image capture iterations.

Abstract: Techniques for benchmarking performance in a contact center system are disclosed. In one particular embodiment, the techniques may be realized as a method for benchmarking contact center system performance comprising cycling, by at least one computer processor configured to perform contact center operations, between a first contact-agent pairing strategy and a second contact-agent pairing strategy for pairing contacts with agents in the contact center system; determining an agent-utilization bias in the first contact-agent pairing strategy comprising a difference between a first agent utilization of the first contact-agent pairing strategy and a balanced agent utilization; and determining a relative performance of the second contact-agent pairing strategy compared to the first contact-agent pairing strategy based on the agent-utilization bias in the first contact-agent pairing strategy.

Abstract: Techniques are disclosed for attribution analysis in analytical workflows. A data processing system (DPS) obtains an overall model comprising one or more sub-models. The DPS selects an output variable of the overall model for which attribution of changes is to be performed, and a plurality of input variables against which changes are to be attributed to. The overall model is initially executed with respect to a data set of values for the plurality of input variables to generate a base result for the output variable. The overall model is iteratively executed based on a condition associated with the plurality of input variables to obtain a new result for the output variable. In each iteration, a value of an input variable is changed with respect to the data set of values and a change in the output variable with respect to the base result is attributed to the corresponding input variable.

Abstract: A method for evaluating emergency medical service according to embodiments of the present invention includes receiving emergency medical service data from a database, filtering the emergency medical service data based on a selection criteria to form a filtered emergency medical service data set, determining a first score from the filtered emergency medical service data set, where the first score indicates objective clinical performance quality for the filtered emergency medical service data set, determining a second score from the filtered emergency medical service data set, where the second score indicates objective operational performance quality for the filtered emergency medical service data set, merging the first score and the second score to form a composite score; and visually displaying the composite score to a user.

Abstract: The invention discloses a system configured for assessing performance data, the system comprising a memory comprising instruction data representing a set of instructions; and a processor configured to communicate with the memory and to execute the set of instructions. The set of instructions, when executed by the processor, cause the processor to: acquire a plurality of performance data records associated with a performance indicator; classify each performance data record according to the performance indicator; identify a plurality of variables in the performance data records that contribute to the classifications; determine, based on the plurality of variables, a plurality of observations relating to the performance indicator and at least one variable of the plurality of variables; and deliver the plurality of observations for presentation to a user. A method is also disclosed.

Abstract: A system for making gradual adjustments to planograms may include at least one processor. The processor may be programmed to receive a first image of a shelf; analyze the first image to determine a first placement of products on the shelf; determine a planned first adjustment to the first placement of products; and provide first information configured to cause the planned first adjustment. The processor may then receive a second image of the shelf captured after the first information was provided; analyze the second image to determine a second placement of products on the shelf; determine a planned second adjustment to the second placement of products; and provide second information configured to cause the planned second adjustment to the determined second placement of products.

Abstract: An interactive vehicle information map system is disclosed in which, in various embodiments, geographical, geospatial, vehicle, and other types of data, geodata, objects, features, and/or metadata are efficiently presented to a user on an interactive map interface. The user may search vehicle-related data based on multiple sets of search criteria including, for example, information regarding one or more geographic area, one or more time period, one or more vehicle, one or more vehicle owner, and/or one or more license plate number, among other items. The map system may further include an interactive timeline and/or an interactive heatmap.

Abstract: A smart contract computing device may be provided. A processor may be configured to: (1) receive a plurality of deposits from a plurality of user computing devices; (2) store the plurality of deposits in a blockchain structure including, for each user computing device, a user identifier and a current amount; (3) receive, from at least one user computing device of the plurality of user computing devices, a proposal message for a decentralized insurance policy, the proposal message including a price amount, a coverage amount, a payout condition, and a specified data source; (4) receive, from at least one user computing device of the plurality of user computing devices, a response message for the decentralized insurance policy; and/or (5) generate, in response to receiving the response message, a smart contract in the blockchain structure including at least one buyer user identifier, at least one seller user identifier, the coverage amount, the payout condition, and the specified data source.

Abstract: An image processing unit (110) acquires a position of an advertisement and a position of a product by analyzing an image in which the product and the advertisement are disposed on a shelf rack are captured. A determination unit (120) determines whether or not a relation between the position of the product and the position of the advertisement satisfies a criterion. An output unit (130) outputs information indicating a determination result obtained by the determination unit (120).

Abstract: A method that includes receiving a request on a mobile device from a user to access first performance data indicative of at least one performance metric of a physician is provided. The method includes receiving confirmation that the user has been authenticated as the physician and receiving the first performance data indicative of the at least one performance metric of the physician for a period of time. In some embodiments, the method further includes configuring the first performance data for display in a format specific to the mobile device and providing the formatted first performance data for display on the mobile device. A mobile device and a system to perform the above method are also provided.

Abstract: Some embodiments provide a novel method for deploying different virtual networks over several public cloud datacenters for different entities. For each entity, the method (1) identifies a set of public cloud datacenters of one or more public cloud providers to connect a set of machines of the entity, (2) deploys managed forwarding nodes (MFNs) for the entity in the identified set of public cloud datacenters, and then (3) configures the MFNs to implement a virtual network that connects the entity's set of machines across its identified set of public cloud datacenters. In some embodiments, the method identifies the set of public cloud datacenters for an entity by receiving input from the entity's network administrator. In some embodiments, this input specifies the public cloud providers to use and/or the public cloud regions in which the virtual network should be defined. Conjunctively, or alternatively, this input in some embodiments specifies actual public cloud datacenters to use.

Abstract: A computer-implemented method of creating a process protocol in a local computer system is provided. The local computer system comprises a processor and a storage device, wherein the process protocol is created from raw data, which is stored in part in a first external computer system and in part in a second external computer system, wherein the raw data in the external computer systems is stored in a number of data tables, wherein the raw data comprises data, which is created during the execution of processes in the first external computer system and in the second external computer system.

Abstract: An observation platform determines relative responsiveness of enterprise employees to requests by external systems. A computer system of the observation platform monitors responses and actions of users to requests from external systems from a plurality of communication devices routed through a radio access point associated with the computer system. Each of the communication devices is associated with a user who is an employee in an enterprise. Information is extracted from the communications including users' identities. Performance of a plurality of the users is measured based on aspects of the extracted information related to the relative responsiveness to requests from the external systems. The requests are posed by the external systems and responded to via the communications devices. A numerical ranking of the measured performance by each of the plurality of measured users, with respect to others of the plurality of measured users, at responding to the requests is assigned.

Abstract: Computer-implemented methods, systems, and computer readable media are provided for identifying and optimizing performance drivers of a healthcare related system. Healthcare related data may be analyzed to produce performance information pertaining to performance indicators for performance drivers of the healthcare related system. From the performance information, changes in the sets of performance indicators over time for the performance drivers may be determined and performance drivers with determined changes satisfying a threshold may be identified. An impact of the determined changes in the performance indicators to the identified performance drivers and contributions to the determined impact from one or more factors may be identified. Factors of the identified performance drivers with opposing utilization trends may be identified and an impact of the identified factors on the performance drivers may be determined.

Abstract: Provided are a computer program product, system, and method for extracting, validating, and correcting item attribute values in a database. Received user information indicates an incorrect database attribute value for an attribute of content in the database and a user provided attribute value for the incorrect database attribute value. A page is accessed over a network providing information on the content. A determination is made as to whether the page includes a page attribute value for the attribute of the content. A determination is made as to whether the page attribute value for the attribute of the content matches the user provided attribute value in response to determining that the page provides the page attribute value. The database is updated to use the user provided attribute value for the attribute of the content in response to determining that the page attribute value matches the user provided attribute value.

Abstract: Methods and systems for suggesting electronic collaborative user groups to a user account based on user account activity. The method includes identifying one or more event records corresponding to a user account. Each of the one or more event records identifying an interaction between a client device of the user account and a server computing system and corresponding to one or more themes associated with a given team. The method further includes calculating a theme score for the user account based on the retrieved one or more event records. The theme score based at least in part on the number of identified event records. The method also includes determining whether the calculated theme score exceeds a predetermined threshold score, and in response to determining that the calculated theme score exceeds the predetermined threshold score, facilitating connection of the user account and the team associated with the theme.

Abstract: An event detection (ED) computing device is provided. The ED computing device includes a processor in communication with a memory. The processor is configured to receive real time data from a real time data source, including location data and transaction data, and calculate a first data derivative based at least in part on the received location data and transaction data. The ED computing device is also configured to identify an event associated with the first location based at least in part on the received location data and transaction data and store an identified event data structure in a database. The ED computing device is configured to retrieve notification rules associated with a first stakeholder, compare the a data derivative to the notification rules, and transmit a notification to the first stakeholder based at least in part on the comparison.

Abstract: Embodiments of the present specification provide a service recommendation method, apparatus, and device. During operation, the system obtains, based on historic information associated with a target user, a user feature and a service-usage feature of the target user for a service; determines a service recommendation scheme by inputting the user feature, the service-usage features, and a service feature of the service into a machine-learning model for recommending services; and recommends a service to the target user based on the determined service recommendation scheme.

Abstract: A method for efficiently managing configuration of modular control systems includes Detecting a communicative coupling between a workstation and a modular control system, determining whether an active project stored in a memory of the workstation matches a saved project stored in a memory of the modular control system, where each of the active project and the saved project includes a respective coordinated set of data for controlling operation of the modular control system, and when the active project and the saved project do not match, (i) determining whether the active project is correct for the modular control system, and (ii) when the active project is incorrect the modular control system, automatically providing, via an interactive user interface, a control for transferring at least a portion of the saved project from the memory of the modular control system to the active project in the memory of the workstation.

Abstract: Data-analysis-based validation of product review data and linking to product record data are provided to facilitate forwarding product-related guidance. The processing includes one or more processors obtaining record data documenting, at least in part, a product's specific supply chain history, and receiving by the processor(s) review data for the product. Based on data analysis, the processor(s) authenticates the review data of the product to establish verified review data, and links the verified review data to the record data documenting, at least in part, the product's supply chain history. The processor(s) provides to a user product-related guidance based, at least in part, on the verified review data for the product that has been linked to the record data documenting, at least in part, the product's supply chain history.

Abstract: A system and method for the collection and processing of workplace, public and private data to predict and score risk incident frequency and severity for a commercial client. In one embodiment, the risk assessment may be performed using one or more machine learning techniques.