Abstract: Various embodiments described herein relate to systems and methods for semantically mapping data associated with a facility. In this regard, initially first vectorial representations of the data in a database are generated. Using the first vectorial representations, a temporary database is created. Then, specifications related to parameters associated with at least one product of the facility is received from a user. The specifications are then converted to second vectorial representations. Further, the second vectorial representations are mapped with the first vectorial representations. Based on the mapping, at least one first vectorial representation is derived from the temporary database. Furthermore, a textual equivalent of the at least one first vectorial representation is rendered via a user interface.

Abstract: A computer-implemented system and method for performing trend analysis is provided. Event objects for events are stored in a database. A trigger for notifying a beginning of an event is received and an event object representing the event is generated. An event class is associated with a set of parameters and is assigned to the event object. A set of activity data for the event object is created. A time period for trend analysis and previous time periods are defined. Trends among the event objects during the trend analysis time period and among the event objects for the previous time periods are defined. The trends of the event objects of the trend analysis period are compared with the trends of the event objects for the previous time periods and significant trend changes between the compared trends are identified. A trend object is generated for each significant trend change.

Abstract: Techniques are provided for transformation of time-based event data structures to a logarithmic time scale. One method comprises obtaining time-based event data structures associated with respective events, where a given time-based event data structure, associated with a given event, comprises multiple data elements comprising an event base date and an event identifier; converting the time-based event data structures into a tabular format, where each record corresponds to a different event and each data element is assigned to a corresponding field in the corresponding record of the tabular format; determining an overall time duration associated with the events in the tabular format; determining a portion of the overall time duration allocated to each designated time unit in a logarithmic time scale; transforming the tabular format using the determined portions; and initiating an automated action using the transformed tabular format.

Abstract: A data transformation method, applied to connecting an external business system and an online virtual platform, includes receiving and storing at least one first task request from the external business system; converting the stored at least one first task request into a second task request; sending the second task request to the online virtual platform, so that the second task request generates a corresponding virtual task on the online virtual platform; receiving and storing a second processing result from the online virtual platform; converting the stored at least one second processing result into a first processing result; and feeding back the first processing result to the external business system.

Abstract: Techniques that provide source metadata associated with code recommendations generated by an automation controller are described. A training data set comprising queries, code recommendations and source metadata associated with each of the code recommendations may be stripped of the source metadata and encoded by an NLP model to generate vector representations of each code recommendation. Each vector representation is stored in an index in association with the source metadata corresponding to the underlying code recommendation. In response to receiving a query, the query is processed using an inference model to generate a second code recommendation, which is encoded using the NLP model to generate a second vector representing the second code recommendation. The second vector is compared to the index to identify the source metadata corresponding to the second code recommendation. The second code recommendation and corresponding source metadata are provided via an interface of the automation controller.

Abstract: Various embodiments comprise systems and methods for providing customer-defined attributes (CDAs) in an enterprise resource planning platform. In an example, a method includes receiving a CDA definition defining a new data field for storing a new CDA and associating the new data field with a source data table as well as a data flow from the source data table to a destination data table. The method further includes initiating a business process including the data flow by generating a new record that includes the source data table and calling at least one logic block by passing information corresponding to the new CDA to the logic block. The logic block identifies the information corresponding to the new CDA and executes at least a portion of the data flow by passing the information corresponding to the new CDA from the source data table to a destination data table.

Abstract: A database system can be generated using distributed data sources to facilitate data retrieval. For example, a processing device can receive one or more messages from one or more data sources. Each data source can provide the messages in a non-standardized format. The processing device can convert the messages from the data sources into a standardized format. The processing device can store the converted messages in the standardized format as a dataset in the database system. The processing device can provide access by one or more subscribers to the database system to collect at least a portion of the dataset. The processing device can output, based on a request from at least one of the subscribers, an interface that includes at least the portion of the dataset to a user.

Abstract: A data processing method is provided in the invention. The data processing method may be applied to a data processing device. The data processing method may include the following steps. According to a plurality of input data, a processing device of a data processing device may obtain structured data and non-structured data corresponding to each input data. Then, the processing device may combine the structured data with the non-structured data to generate combined data corresponding to each input data. Then, the processing device may store the combined data in a retrieval augmented generation (RAG) database for a large language model (LLM) model.

Abstract: There are provided an engineering device includes: a storage unit configured to store a virtual data format which is commonly used by a first type of module in which definition data for defining a module installed in a control system is provided as data of a predetermined common format; and an object data generating unit configured to secure a storage area in which details of the virtual data format are reflected in the storage unit on the basis of the virtual data format when an installed module is the first type of module, to write entries indicated by the definition data according to the data format indicated by the definition data of the installed module to the secured storage area, and to write a module name of the installed module to the secured storage area to generate object data.

Abstract: Devices, methods, and systems for data management in a multi-tenant environment are described herein. One method includes receiving a request for data associated with one of a plurality of tenants, and input parameters corresponding to the request, retrieving source data compiled from the plurality of tenants, wherein the compiled source data includes a plurality of data types, constructing filters to split data of a vector data type among the plurality of data types based on the received request and input parameters, splitting the compiled source data into the vector data type using the constructed filters, generating the requested data from the split data, and transmitting the generated requested data to a target database of the one of the plurality of tenants.

Abstract: Systems and methods are provided for implementing content enrichment of document data and data source connector content. A computing system extracts enrichment data associated with a data item and ingests the extracted enrichment data within a data store, by indexing the extracted enrichment data in a search index of the data store. Indexing the extracted enrichment data includes generating a listing within the search index, the listing being generated to be searchable and refinable using a search engine, the extracted enrichment data being retrievable via the search engine. At least a portion of the enrichment data is generated using a large language model. The enrichment data may be stored in an enrichment data field in a schema file of the data item, in some cases, after the schema file has been modified to add the enrichment data field if not already contained in the schema file.

Abstract: Systems and methods are disclosed for a passthrough analytics payload system. One method comprises receiving a resource request from a user device, in response to receiving the resource request, retrieving and/or computing one or more analytics payloads, serializing the one or more analytics payloads based on one or more schemas, sending a resource response to the user device, wherein the resource response includes the one or more analytics payloads and one or more resources, receiving an analytics request from the user device, wherein the analytics request includes the one or more analytics payloads and specific user device analytics information, receiving the one or more schemas for the one or more analytics payloads, deserializing the one or more analytics payloads based on the one or more schemas to determine user analytics data, and storing the user analytics data in one or more data stores.

Abstract: A method automatically distributes aeronautical information. A source dataset for the aeronautical information is identified. The source dataset is in a common data format and has changes. A destination dataset for the aeronautical information is identified. The destination dataset is in the common data format. An overlap is determined between the source dataset and the destination dataset. The changes are present in the overlap between the source dataset and the destination dataset. A destination change dataset is generated in a destination format specific to the destination dataset. The destination change dataset comprises the changes present in the overlap. The destination change dataset in the destination format is sent to a destination database storing the destination dataset in the destination format.

Abstract: A system may use a large language model (“LLM”) to generate a data pipeline. The system can receive a natural language query and a selection of a plurality of data sets for generating a data pipeline and generate a prompt comprising at least: the natural language query, indications of the plurality of data sets, an indication of a format of a first computer language, and an indication of available data transformations. The system can transmit the prompt to an LLM and receive, from the LLM, a response to the prompt in the format of the first computer language. The system can parse the response in the first computer language to identify at least an indication of one or more recommended data transformations. The system can generate, based on the indication of the one or more recommended data transformations, the data pipeline using a second computer language.

Abstract: Materialized views may be optimally selected for materialized view creation or refresh. Materialized views for creation or refresh may be identified. A subset of the materialized may be determined according to an optimization technique that selects the subset of the materialized views according to a maximized performance benefit for maintaining the subset of materialized views based on a workload of the database system caused by a set of previously received queries. Individual ones of the subset of materialized views to create or refresh may be selected and performed according to a performance benefit-based order of the subset of the materialized views.

Abstract: Embodiments of the present disclosure include systems and methods for providing sparsity for neural network models based on sparsity attributes. A first neural network model definition is received. The first neural network model definition specifies a neural network model comprising a set of tensors and a set of sparsity attribute values for elements of a tensor in the set of tensors. The set of sparsity attribute values for the tensor are propagated to elements of a subset of the set of tensors to form a second neural network model definition. The neural network model is generated based on the second neural network model definition.

Abstract: A method for generating high-quality seismic data includes receiving a first dataset. The method also includes selecting a first processing technique based upon the first dataset. The method also includes producing first processed data from the first dataset using the first processing technique. The method also includes selecting a second processing technique based upon the first dataset. The second processing technique is different than the first processing technique. The method also includes producing second processed data from the first dataset using the second processing technique. The method also includes training a machine learning model to transform the first processed data into the second processed data.

Abstract: An amount of expiration time extension for one or more objects associated with a first archive of a first snapshot of a source storage is determined based at least in part on a second data management policy associated with a second archive and one or more dynamically determined metrics. The first archive that includes the one or more objects is caused to be stored to a remote storage. At least a portion of content of the first archive is referenced by data chunks stored in a first chunk object of the remote storage and the first archive is associated with a first data management policy. Based on the determined amount of expiration time extension, an expiration time for the one or more objects associated with the first archive is stored in an archive metadata of the one or more objects associated with the first archive.

Abstract: A computer-implemented method for artificial intelligence (AI)-assisted mapping of electronic data interchange (EDI) data to an alternative format is provided. The method comprises receiving a message implementation guideline (MIG) specifying a first data format for an electronic document for use within an EDI environment and generating a map from the MIG, the map comprising mapping rules for transforming messages formatted according to the MIG to a second data format. Generating the map comprises identifying, from the MIG, rules text of interest; generating a prompt to a large language model (LLM), the prompt including the rules text and requesting that the large language model convert the rules text to respective mapping logic; inputting the prompt to the LLM; receiving the respective mapping logic from the LLM; and adding an AI-generated mapping rule to the map, the mapping rule comprising the respective mapping logic.

Abstract: A system includes a plurality of antennas that receive wireless data. A first memory component stores a first plurality of resource blocks and associated resource elements for the received data associated with a first antenna of the plurality of antennas in a first row of the first memory component. The first memory component stores the first plurality of resource blocks for a second antenna of the plurality of antennas in a second row of the first memory component. A conversion unit receives the stored first plurality of resource blocks from the first memory component and formats the stored first plurality of resource blocks and associated resource elements to arrange a first resource block of the first plurality of resource blocks from the first and the second antennas in a same row to form a formatted data. A second memory component is configured to store the formatted data.