Abstract: A system and method for monitoring, operating and maintaining an industrial plant in the metal-producing industry, including: a mobile terminal device with at least one sensor for recording measured values within the industrial plant, at least one position sensor for detecting the position of the mobile terminal device in the industrial plant, a central data processing device for processing the measured values recorded by the mobile terminal device by the at least one sensor, taking into account the position of the mobile terminal device recorded by the at least one position sensor in the industrial plant, and at least one communication network for exchanging data between the mobile terminal device, the at least one position sensor and/or the central data processing device.

Abstract: The present invention provides self-driven Artificial Intelligence based system and method for operating one or more applications including enterprise application and supply chain management applications. The system includes centralized data lake for storing data received from plurality of distinct sources, a control tower configured for sensing change in attribute of the received data and determining impact of the change on plurality of functions of EA and SCM applications.

Abstract: The present disclosure discloses a method for assessing soil health of cultivated land, which adopts “three sets of dual index assessment systems”, that is an index system for current soil function and a healthy soil function required by crops, an index system for current soil nutrition and healthy soil nutrition required by crops, and an index system for current crop output of cultivated land and a crop output expected by cultivated land users or owners. The method solves the shortcomings of the existing assessment systems that the existing soil health assessment index system has no hierarchy and applicability. This method includes using deviating degree of ratio R e.g., the index current value C/index health value E of measured dual index from 1 as well as it is simple, and the assessment result may directly determine the indicators or factors that can be used for guiding soil improvement and conservation.

Abstract: A computer-implemented method for optimizing resource allocation using machine learning algorithms. The method receives input data from various sources, including project requirements, timelines, and project allocation, and analyze using machine-learning algorithms to prediction which entities are most suitable for given projects. The method generates a prioritized list of qualified entities and offers strategic recommendations for resource distribution. The machine-learning algorithm manages ongoing transactions, monitors compliance, and predicts future resource needs, comparing these predictions against project allocation thresholds. If predicted needs exceed the project allocation, the system issues warnings. An interface allows users to adjust resource strategies and monitor project progress through visual analytics dashboards.

Abstract: The present invention belongs to the field of power system operations and provides a method for quantifying the flexibility demand and coordinating optimization of a hydro-wind-solar multi-energy complementary system. Firstly, the flexibility demand quantification method considering the uncertainty of wind and solar power output is constructed, and the wind and solar power output interval is divided by using quantile points to generate a set of output scenarios, and then the flexibility demand under each scenario is calculated. Based on the quantitative index of flexibility demand, an optimal operation model of hydro-wind-solar complementary system considering the minimum expectation of system flexibility deficiency is constructed to realize the optimal calculation of hydro-wind-solar complementary. By utilizing an actual wind-hydro complementary system of the Yunnan Power Grid, the model is validated for different new energy access ratios.

Abstract: Systems and methods include causing a scan by Cloud Access Security Broker (CASB) system of a plurality of users associated with a tenant in a Software-as-a-Service (SaaS) application where the scan includes any of identifying malware in content in the SaaS application and identifying confidential data in the content in the SaaS application; during the scan which is covering historical data in the SaaS application, receiving notifications of the content being actively modified by any of the plurality of users; and including the content being actively modified in the scan with the historical data. The systems and methods can further include maintaining geolocation of the any of the plurality of users; and causing the content being actively modified in the scan to be processed by the CASB system based on the geolocation.

Abstract: Various methods are provided for programmatically providing a platform for requesting on-demand services on a consumer device. One example method may comprise receiving a job request, the job request comprising job request parameters, the job request parameters comprising at least a type of service, a location, and a time frame, identifying one or more merchants able to provide the service in accordance with the job request parameters by determining a subset of the plurality of merchants able to provide the service, at the location, within the time frame, causing transmission of a job offer to at least a first merchant of the subset of one or more merchants identified as able to provide the service in accordance with the job request parameters, receiving at least one response, the at least one response from the first merchant from the one or more merchants, and assigning the job to the first merchant.

Abstract: In variants, a method for asset generation can include: determining campaign settings, determining recipient data, determining a digital asset template, mapping variables between the digital asset template and the recipient data, optionally generating a set of example digital assets, rendering a set of digital assets, optionally printing a physical version of each digital asset, optionally delivering the physical assets. However, the method can additionally or alternatively include any other suitable elements.

Abstract: The present invention provides self-driven Artificial Intelligence based system and method for operating one or more applications including enterprise application and supply chain management applications. The system includes centralized data lake for storing data received from plurality of distinct sources, a control tower configured for sensing change in attribute of the received data and determining impact of the change on plurality of functions of EA and SCM applications.

Abstract: A method including receiving a first command including both a data extraction expression and a first report configuration expression. The data extraction expression includes program code for extracting fields of a dataset of a data source. The first report configuration expression includes program code configured to populate cells of first dimensions of a first report and to generate a first tree including subset nodes including records of the dataset. The first command is executed by executing the data extraction expression on the dataset to generate the records. Executing the first command also includes executing the first report configuration expression on the records to generate the first tree. Executing the first command also includes populating, using the first report configuration expression and the first tree, the cells. Executing the first command also includes generating, in response to receiving the first command and by traversing the first tree, the first report.

Abstract: Collecting and storing temperature data includes acquiring a starting time at a temperature recording time period and acquiring temperature data for each time stamp. The target compressed data corresponding to the temperature recording time period is obtained by compressing the temperature data. The starting time data and the target compressed data corresponding to the temperature recording time period is stored in a temperature recorder. Multiple temperature data points may correspond to one piece of compressed data, so that each piece of temperature data only occupies a small amount of storage space. The starting time data and multiple pieces of compressed data are stored in the temperature recorder together, allowing improved storage performance of the temperature recorder and rapid collection of the temperature data. A blockchain-based verification for the collected temperature data ensures the security and authenticity of the data collection and prevents the data from being tampered with.

Abstract: An approach is provided for optimizing a feedback-type question answering process. A training set is constructed to detect missing information of a question. A natural language generation model is trained using the missing information. The natural language generation model is executed to generate a rhetorical question. A response to the rhetorical question is combined with the question to generate an input to a language processor. A new question is generated. The new question is applied to a document library. A final answer is generated.

Abstract: Examples for determining access to restricted features of an application are disclosed. A current working status of a user account and an access policy can be analyzed to determine whether access to the restricted feature should be granted or denied. The functionality can be provided by a library bundled within an application.

Abstract: Techniques described herein are directed to verifying a state of an item during transit. In some embodiments, shipment data including sensor data and/or user input may be obtained by one or more sensor(s) and/or input device(s) of a shipping container (e.g., box, conveyance, custom container, receptacle, smart container, tote) that houses the item during transit. Shipment data may be transmitted to a data store (e.g., blockchain, immutable ledger, distributed ledger technology). At suitable time(s), the location of the shipping container may be estimated and/or identified from the shipment data obtained from the data store. A state of the item may be verified at least in part by analyzing the sensor data and/or user input obtained from the data store. Utilizing the techniques herein, a determination may be made as to whether the item was mishandled and a likelihood that the item was affected (e.g., damaged, spoiled, etc.) during transit.

Abstract: This application discloses an image segmentation method in the field of artificial intelligence. The method includes: obtaining an input image and a processing requirement; performing multi-layer feature extraction on the input image to obtain a plurality of feature maps; downsampling the plurality of feature maps to obtain a plurality of feature maps with a reference resolution, where the reference resolution is less than a resolution of the input image; fusing the plurality of feature maps with the reference resolution to obtain at least one feature map group; upsampling the feature map group by using a transformation matrix W, to obtain a target feature map group; and performing target processing on the target feature map group based on the processing requirement to obtain a target image.

Abstract: A system to provide an automated data driven risk relationship review tool via a back-end application computer server of an enterprise. A resource allocation data store may contain electronic records representing requested resource allocations between the enterprise and a plurality of entities. The server may receive an indication of a selected requested resource allocation and retrieve, from the resource allocation data store, the electronic record associated with the selected requested resource allocation. The server may automatically calculate a first and second review date for the selected requested resource allocation and automatically establish, between at least two parties, a communication link based on the calculation of the first review date for the selected requested resource allocation.

Abstract: A system and method are disclosed for solving a supply chain planning problem modeled as a linear programming (LP) problem. Embodiments further include receiving a multi-period matrix formulation of a least a portion of an LP supply chain master planning problem representing a supply chain planning problem for a supply chain network and having a planning horizon divided into time buckets separated by time-bucket boundaries, mapping constraints of the LP supply chain master planning problem and variables of the LP supply chain master planning problem to the time buckets, calculating a quantity of cross-over variables for the constraints and the time buckets, selecting one or more decomposition boundaries from the time-bucket boundaries, and formulating at least two time-based decomposed subproblems by decomposing the LP supply chain master planning problem at the one or more decomposition boundaries.

Abstract: The techniques described herein relate to techniques for verifying a veracity of machine learning outputs. An example method includes receiving a first output generated by a first model responsive to a first input, the first output comprising one or more verifiable statements in text, verifying, using a second model and first reference data stored in at least one first datastore, the one or more verifiable statements to produce first verification results indicating which of them has been verified, when it is determined that at least one of them remains unverified based on the first verification results, identifying, using at least one of the first or second models, at least one second datastore having second reference data attesting to veracity of the first output; and verifying, using the second model and the second reference data, the at least one unverified statement to produce second verification results to be provided as output.

Abstract: A computer-implemented method for managing a contact center having a plurality of agents includes (a) receiving real-time data associated with each of a plurality of agents servicing incoming communications for the contact center, (b) categorizing each of the plurality of agents into a respective one of a plurality of burnout risk categories by processing the real-time data associated with each of the plurality of agents using a trained supervised machine learning model having a plurality of input features, (c) determining, based on a specification of a logical directive, an operation to be performed in relation to at least one agent in the plurality of agents, wherein the specification has at least one condition relating to the categorizing of each of the plurality of agents into the respective one of the plurality of burnout risk categories, and wherein the specification defines the operation to be performed in relation to the at least one agent in the plurality of agents upon the condition being satisfied,

Abstract: A system includes a memory device and a processor, operatively coupled with the memory device, to perform operations including receiving, from a device via a brokering agent, a request to provide an encrypted version of a set of secrets data corresponding to a target state of the device, determining whether to authorize the request in view of the brokering agent, and in response to authorizing the request, providing the encrypted version of the set of secrets data and permission to transition to the target state.

Abstract: Provided are an index value calculator to calculate an index value obtained by quantifying a degree of status for evaluation items, a teamwork evaluator to evaluate a teamwork based on the index value, a support content determiner to select target persons to be supported including the members of the team based on the evaluation result of the teamwork and determine support contents in accordance with the target persons to be supported, and a presentation information generator to generate presentation information for presenting the determined support contents for each of the output devices corresponding to the selected target persons to be supported, and the teamwork evaluator evaluates the teamwork using an evaluation logic configured by combining logical formulas for comparing a threshold value set for evaluation items with the calculated index value.

Abstract: An object of the present invention is to provide a flowerbed sales order system, which enables a user to order a flowerbed with a simple method without having the user design the flowerbed from scratch. The present invention relates to a flowerbed sales order system comprising a user terminal and a server apparatus capable of communicating with the user terminal, the system comprising: a flowerbed storage that stores information regarding flowerbeds; a flowerbed recommendation displayer that recommends and displays a flowerbed based on a prescribed condition; an order placement request transmitter that transmits an order placement request of the recommended and displayed flowerbed; and an order placement request receiver that receives the order placement request.

Abstract: An information processing apparatus manages productivity by processing information obtained from one or more image forming apparatuses, and includes: a hardware processor that: acquires operation history information from the image forming apparatus; analyzes the operation history information and determines an improvement measure for improving the productivity based on an analysis result; and outputs the improvement measure.

Abstract: Computer-based systems and methods for risk/reward detection, visualization, and resolution using modular chainable algorithms are provided. The system allows for computer-based modeling of large data sets with improving processing speed and utilizing fewer computational resources. The modular chainable algorithms included embedded program code executable by a processor for performing a data modeling or analytic function on source data, visualization code for visualizing output of the program code, and workflow code for automatically performing one or more actions relating to the data modeling or analytic function.

Abstract: A computer system receives customer records listing customer attributes and an adoption status of the customer, such as whether the customer has enrolled in a particular energy efficiency program. An initial set of patterns are identified among the customer records, such as according to a decision tree. The initial set is pruned to obtain a set of patterns that meet minimum support and effectiveness and maximum overlap requirements. The patterns are assigned to segments according to an optimization algorithm that seeks to maximize the minimum effectiveness of each segment, where the effectiveness indicates a number of customers matching the pattern of each segment that have positive adoption status. The optimization algorithm may be a bisection algorithm that evaluates a linear-fractional integer program (LFIP-F) to iteratively approach an optimal distribution of patterns.

Abstract: Systems and methods for utilizing a spatial statistical model to maximize efficacy in performing trials on agronomic fields are disclosed herein. In an embodiment, a system receives first yield data for a first portion of an agronomic field, the first portion of the agronomic field having received a first treatment, and second yield data, for a second portion of the agronomic field, the second portion of the agronomic field having received a second treatment that is different than the first treatment. The system uses a spatial statistical model and the first yield data to compute a yield value for the second portion of the agronomic field, the yield value indicating an agronomic yield for the second portion of the agronomic field if the second portion of the agronomic field had received the first treatment instead of the second treatment. Based on the computed yield value and the second yield data, the system selects the second treatment.

Abstract: In an aspect, an apparatus for generating resource allocation recommendations is presented. An apparatus includes at least a processor. An apparatus includes a memory communicatively connected to at least a processor configuring the at least a processor to receive resource allocation data. At least a processor is configured to compare resource allocation data to an allocation improvement metric. At least a processor is configured to determine, as a function of a comparison, resource feedback. At least a processor is configured to provide a resource allocation recommendation to a user as a function of resource feedback.

Abstract: Systems and methods for determining and presenting a graphical user interface including template metrics are disclosed. Exemplary implementations may: manage templates for work unit records that define units of work managed, created, and/or assigned within a collaboration environment; create one or more first work unit records based on the first template; monitor the units of work created using the templates to determine template information; determine template metric values for template metrics associated with the templates based on the template information such that first template metric values for the template metrics associated with the first template are determined based on the first template information; and effectuate presentation of a graphical user interface including the templates and the template metric values for the template metrics associated with the templates.

Abstract: Systems and methods for data analytics are described. One or more embodiments of the present disclosure receive target time series data and candidate time series data, where the candidate time series data includes data corresponding to each of a plurality of candidate metrics, train a prediction network to predict the target time series data based on the candidate time series data by setting temporal attention weights corresponding to a plurality of rolling time windows and by setting candidate attention weights corresponding to the plurality of candidate metrics, identify a leading indicator metric for the target time series data from the plurality of candidate metrics based on the temporal attention weights and the candidate attention weights, and signal the leading indicator metric for the target time series data.

Abstract: A system and method are disclosed for solving a supply chain planning problem modeled as a linear programming (LP) problem. Embodiments further include receiving a multi-period matrix formulation of a least a portion of an LP supply chain master planning problem representing a supply chain planning problem for a supply chain network and having a planning horizon divided into time buckets separated by time-bucket boundaries, mapping constraints of the LP supply chain master planning problem and variables of the LP supply chain master planning problem to the time buckets, calculating a quantity of cross-over variables for the constraints and the time buckets, selecting one or more decomposition boundaries from the time-bucket boundaries, and formulating at least two time-based decomposed subproblems by decomposing the LP supply chain master planning problem at the one or more decomposition boundaries.

Abstract: An image masking method is provided. The method includes: extracting an object from an image; obtaining characteristic information about the extracted object by analyzing the extracted object; determining whether the extracted object is a masking target according to an input setting value or the obtained characteristic information; and performing masking such that the obtained characteristic information is reflected on the extracted object, in response to determining that the extracted object is the masking target among a plurality of objects extracted from the input image, wherein the setting value is set by an input designating at least a partial region in the input image, and wherein in the determining whether the extracted object is the masking target, an object positioned in the at least a partial region is determined as the masking target among the extracted objects.

Abstract: Disclosed is a method and system for a single broadband portal where all content may be delivered to users of varied electronic devices. An example embodiment (i) provides a user interface for enabling user selection of media contents per varied electronic devices, each varied electronic device having a respective platform, the user interface indicating one or more different possible media contents; (ii) accepts from a user requests for distribution service to any of the varied electronic devices of the user, the requests specifying a user desired media content; (ii) locates the user desired media content from a plurality of storage modules; (iv) transmits the user desired media content to at least one of the varied electronic devices of the user; and (v) tracks the transmission of the user desired media content for billing purposes.

Abstract: The present invention provides self-driven AI based system and method for operating one or more applications including enterprise application and supply chain management applications. The system includes centralized data lake for storing data received from plurality of distinct sources, a control tower configured for sensing change in attribute of the received data and determining impact of the change on plurality of functions of EA and SCM applications.

Abstract: The disclosure herein describes a system for calculating meeting inclusion metrics including insights and recommendations. Meeting data associated with one or more meetings attended by at least one participant remotely is converted into anonymized meeting data for inclusivity metric analysis. An inclusivity insights manager generates inclusivity metrics associated with inclusive behavior and language occurring during meetings to measure the level of inclusivity. The inclusivity metrics include attendee participation metrics measuring an amount of participation by each meeting attendee, participation in-person versus participation remotely, concurrent speech indicating attendees may be talking over one another or other interruptions occurring during meetings. Inclusivity metric data includes insights and actionable recommendations to improve inclusivity at future meetings provided at an individual level, group level or organizational level.

Abstract: Disclosed are systems, servers and methods for a multi-tenant framework that manages and controls operations of software as a service (SaaS) applications and services, and the data and metadata (e.g., files) created, updated and interacted with therefrom. The disclosed framework provides a centralized approach to managing the entitlement and provisioning of SaaS applications on client devices across a variety of channels on a network. The disclosed SaaS framework is configured for management, control, deployment and synchronization between devices, applications, systems and platforms both on-premises (on-prem or local devices/storage) and/or hosted on a network (e.g., a cloud platform, service or platform).

Abstract: A system to provide an automated data driven risk relationship review tool via a back-end application computer server of an enterprise. A resource allocation data store may contain electronic records representing requested resource allocations between the enterprise and a plurality of entities. The server may receive an indication of a selected requested resource allocation and retrieve, from the resource allocation data store, the electronic record associated with the selected requested resource allocation. The server may automatically calculate a first and second review date for the selected requested resource allocation and automatically establish, between at least two parties, a communication link based on the calculation of the first review date for the selected requested resource allocation.

Abstract: Example machine learning (ML) methods and systems for characterizing corn growth efficiency (CGE), and generating field management recommendations based on CGE values are disclosed. An example computing system includes one or more processors, and storage media. The media storing an ML model trained using a training agronomic data set labeled with one or more known CGE values corresponding to one or more trial agricultural fields. The media further storing instructions that, when executed, cause the system to: obtain a production agronomic data set corresponding to a target agricultural field; determine one or more input feature vectors based on the production agronomic data set; process the one or more input feature vectors, with the ML model, to generate one or more predicted CGE values for one or more portions of the target agricultural field; and provide the one or more predicted CGE values as an output.

Abstract: The present disclosure relate to equalization of audio transmissions that are used to transmit content, such as advertisements, promotions, redemptions, and/or other types of content (e.g., images, multimedia, audio, web-based, applications, and/or the like) between a first computing device. In some instances, the transmission may occur when the first computing device is located within proximity to a physical location, such as an entity or drive through location.

Abstract: A system and method for processing loans includes loan approval decision module that receives input from a loan applicant and collects external data including credit bureau data, bank transaction data, and social media data. The system also includes a machine learning module having a pre-processing subsystem, an automated feature engineering subsystem and a feature statistical assessment subsystem. A business objective determination module and an adverse notice notification module is also provided. The business objective determination module includes a weight optimization company valuation maximization model. A set of models is developed using the machine learning module to predict performance of the borrower based on the business objective determination.

Abstract: A system (100), method and computer program product for optimization of crop protection. A generator module (120) accesses one or more configuration data structures (220) wherein the one or more configuration data structures include data fields to store crop data (221), advice data (222) related to respective crop data, and crop protection product data (223) related to respective advice. Further, it accesses a plurality of code snippets (230) wherein each code snippet (231, 232, 233) has a condition which relates either to at least one property field of the one or more data structures (220) or to a result of another code snippet, and further includes generic program logic associated with the condition, and wherein each property field is used in the condition of at least one code snippet. The plurality of code snippets is applied to the one or more configuration data structures to generate an advice logic program.

Abstract: A system and method are disclosed for solving a supply chain planning problem modeled as a linear programming (LP) problem. Embodiments further include receiving a multi-period matrix formulation of a least a portion of an LP supply chain master planning problem representing a supply chain planning problem for a supply chain network and having a planning horizon divided into time buckets separated by time-bucket boundaries, mapping constraints of the LP supply chain master planning problem and variables of the LP supply chain master planning problem to the time buckets, calculating a quantity of cross-over variables for the constraints and the time buckets, selecting one or more decomposition boundaries from the time-bucket boundaries, and formulating at least two time-based decomposed subproblems by decomposing the LP supply chain master planning problem at the one or more decomposition boundaries.

Abstract: An icon moving method includes: receiving a first input performed by a user for a first application icon in a first home screen interface; displaying an indication identifier and a thumbnail of a second home screen interface in response to the first input, where an indication end of the indication identifier points to a first position in the thumbnail of the second home screen interface; receiving a second input performed by the user; and controlling, in response to the second input, the first application icon to move to a second position, corresponding to the first position, in the second home screen interface.

Abstract: The disclosure provides an operation adjustment method and system for metro trains under train out of service. The method includes: acquiring basic parameters of a metro system, information of the train out of service and the online normal running trains, determining follow-up train services and current train timetables thereof, adjusting the current timetables according to predicted time to stop service of the train out of service to obtain initial adjusted train timetables, determining canceled planned train services and rolling stocks for executing remaining planned train services, and adjusting the initial adjusted train timetables according to planned train timetables of the cancelled planned train services. The disclosure can automatically adjust the train operation, and reasonably change the train timetables and the rolling stock circulation plan, thereby reducing influences of the train out of service, and improving the degree of automation of the metro system to adapt to refined management.

Abstract: Various embodiments are provided for decentralized distributed deep learning by one or more processors in a computing system. Asynchronous distributed training of one or more machine learning models may be performed by generating a list of neighbor nodes for each node in a plurality of nodes and creating a first thread for continuous communication according to a weight management operation and a second thread for continuous computation of a gradient for each node. One or more variables are shared between the first thread and the second thread.

Abstract: The present disclosure provides a computer-implemented method, which includes receiving a dispute information pertaining to a billing dispute by a processor, from a device associated with a customer. The method includes computing, by the processor, a score based on the dispute information, for determining validity of the billing dispute. The billing dispute is categorized based on the score computed for the dispute information. One or more actions are subsequently presented to one or more parties associated with the dispute information for resolving the billing dispute. The processor is also configured to prioritize the one or more actions based on the score computed. The present disclosure also provides a system capable of implementing the aforesaid method for prioritizing and resolving the billing disputes in an automated manner.

Abstract: Example methods and apparatus to detect uninstallation of applications on mobile devices. An example apparatus includes means for detecting that an application is to be uninstalled from the mobile device. The apparatus includes means for displaying a prompt indicating whether the means for detecting is to be uninstalled when the application is to be uninstalled. The apparatus includes means for transmitting an uninstallation notification to a remote data collector when the application is to be uninstalled, the uninstallation notification to enable identification of at least one of the mobile device associated with the uninstallation or a user of the mobile device.

Abstract: A method for controlling an energy generation and storage system using a multi-layer architecture is provided. The method includes determining, by one or more control devices, a power or energy generation for the energy generation and storage system at a first layer of the multi-layer architecture. The method includes determining, by the one or more control devices, a power or energy set point for the system at a second layer of the multi-layer architecture. The method includes controlling, by the one or more control devices, the energy generation and storage system based, at least in part, on the power or energy setpoint.

Abstract: Embodiments can provide automated matching of items to cart items and generation and rendering of customized template blocks, such that the appearance of the template blocks is adaptive, with remote configuration and optimization at one or more stages of a process. An integration plugin can enable websites to present additional items that are associated with an item displayed on a web page. The integration plugin can be compatible with many websites, be plug-and-play, quickly installed, and not require significant programming effort from the website. Embodiments can provide integration into the web site leading to increased conversion rates. Embodiments can provide information from a first item for additional items without additional data entry. Embodiments can provide real-time performance tracking for monitoring and optimization. Embodiments can provide composite user interfaces to manage item matching, performance tracking, and configuration.

Abstract: A system, method, and computer-readable medium are disclosed for performing an eventually consistent event resolution operation. The eventually consistent event resolution operation includes: parsing entity identifier information, the parsing generating a plurality of entity identifier elements from the entity identifier information; normalizing an entity identifier element of the plurality of entity identifier elements to provide a normalized entity identifier element; associating the normalized entity identifier element with the entity to resolve the identity of the entity; and, performing an eventually consistent event resolution operation, the eventually consistent event resolution operation updating distributed data associated with the entity, distributed data corresponding to entity identifiers impacted by subsequent changes to entity mappings being updated by the eventually consistent event resolution operation to reflect a more recent entity mapping.

Abstract: Systems and methods for providing a universal format driven data transformation. In conventional ETL operations, the transform process that transforms data from the source format to the destination format is based on a transformation program. Conventionally, transform logic is developed around the chosen transform program. In accordance with an embodiment, a universal, format-driven data transform can be achieved through the use of a data transformation format. In accordance with an embodiment, a method for providing a universal format driven data transformation can include providing a transformation format in a file, wherein the transformation format is in a human-readable form; and providing, in the transformation format, keywords defining a target table type, a dataset list, and dataset operations to be performed on a dataset from the dataset list.