Abstract: A method of transmitting intermediary content to a user device may include receiving a periodic signal from the user device. The periodic signal may indicate an activity status of the user device. In response to receiving the periodic signal, the method may further include updating a user map with the activity status of the user device. The method may further include receiving a request to transmit intermediary content to the user device. In response to receiving the request to transmit intermediary content, the method may further include determining that the activity status of the user device in the user map is an active status. The method may further include transmitting a set of cached intermediary content to the user device.

Abstract: The disclosure relates to a system and method for unsupervised validation of Large Language Model (LLM)-generated outputs. The method includes the steps of receiving input data, which may comprise structured or unstructured text; generating an LLM output based on the input data; extracting a first set of topics from the input data, with each topic represented by a set of keywords; converting the first set of topics into human-readable reference data; extracting a second set of topics from the LLM output; and converting the second set of topics into human-readable candidate data. The method further includes comparing the reference data with the candidate data using one or more performance metrics. Finally, the method determines a validation score based on the comparison results. The disclosed method allows for the objective validation of LLM-generated content, enhancing accuracy and efficiency in diverse applications such as customer service, technical documentation, and legal analysis.

Abstract: The present disclosure provides a system and method for generating text summary and data visualizations for executive summaries of annual product quality reports based on an input query from a user.

Abstract: Methods and systems for managing access to a memory device of a data processing system that is shared between a plurality of abstracted resources hosted on the data processing system are disclosed. A memory device may have a secured portion storing information that is used to authenticate requests from the plurality of abstracted resources for accessing the shared memory device. Access to and modification of the secured portion of the shared memory device is granted only to a management entity of the data processing system. The management entity registers memory address ranges of the memory device allocated to each of the plurality of abstracted resources in the secured portion. The management entity uses the registered memory address ranges to verify memory device access requests from the plurality of abstracted resources.

Abstract: Techniques for validating and modifying file records are disclosed. A reference specification is obtained, indicating valid data labels and data points, where each data point is classified into a data label. A semantic assessment is performed between a file record and the reference specification to determine semantically conforming data descriptors and data labels. It is then determined whether aspects of data elements associated with the data descriptors conform with correlated aspects of data points linked to the data labels. Based on the determination, a data modification workflow is triggered to transform non-conforming aspects of data elements. The file record is subsequently modified to include the transformed data elements. The present subject matter may enable automated validation and modification of file records to ensure conformity with the reference specification.

Abstract: Examples techniques for managing lifecycle of products in facilities are described. A current location of a product in a facility is determined based on a signal received from a RFID tag associated with the product. Further, a data indicative of physical conditions at the current location is received from one or more sensors installed at the current location. Data corresponding to signal received from RFID tag, and the data received from the one or more sensors are recorded in a dataset against a UI of the product. The UI is linked to the RFID tag. Data recorded in the dataset may be analyzed to identify an anomaly during a stage of a lifecycle of the product in the facility.

Abstract: The present disclosure provides a method and system for dynamically transmitting notification messages to users of a client device. The method comprises, receiving one or more messages to be transmitted to one or more client applications on the client device. The method further comprises monitoring the one or more messages based on one or more user profiles and one or more contextual real-time metrics and determining if the one or more contextual real-time metrics exceeds a pre-defined threshold. In response to determining that the one or more contextual real-time metrics does not exceed the pre-defined threshold, the method comprises, transmitting the one or more messages to the one or more client applications on the client device based on one or more static rules embedded within the one or more messages.

Abstract: The disclosure relates to a system and method for unsupervised validation of Large Language Model (LLM)-generated outputs. The method includes the steps of receiving input data, which may comprise structured or unstructured text; generating an LLM output based on the input data; extracting a first set of topics from the input data, with each topic represented by a set of keywords; converting the first set of topics into human-readable reference data; extracting a second set of topics from the LLM output; and converting the second set of topics into human-readable candidate data. The method further includes comparing the reference data with the candidate data using one or more performance metrics. Finally, the method determines a validation score based on the comparison results. The disclosed method allows for the objective validation of LLM-generated content, enhancing accuracy and efficiency in diverse applications such as customer service, technical documentation, and legal analysis.

Abstract: Example techniques for predicting risk of recall of a product are described. In an example, product recall databases may be accessed to obtain recall data comprising reasons for recall relating to each of a plurality of product categories. A general risk indicator dictionary comprising a grouping of each of general risk indicators with their corresponding list of keywords and a specific risk indicator dictionary comprising a grouping of each of specific risk indicators with their corresponding list of keywords may be created. A general risk indicator is indicative of a user-defined criteria for assessing risk of recall applicable across the plurality of product categories, and a specific risk indicator is indicative of a user-defined criteria for assessing risk of recall of the corresponding product category.

Abstract: Approaches for automated batch recall assessment are described. The approach includes identifying product batches having a plurality of faulty products manufactured by the organization. For each of the identified product batches, a plurality of quality concerns raised for faulty products manufactured as part of the product batch are quantified. Accordingly, for each product batch, the quantified values of each of the plurality of quality concerns is compared with a corresponding pre-determined threshold count value to enable determination of a quality risk level associated with the product batch. Based on the quality risk level, a batch recall assessment is performed to determine whether to recall product batches having the plurality of faulty products. Thus, the described approaches provide an automated technique for early detection of problematic batches, facilitating quick decision-making on potential batch recalls and improving overall quality management in manufacturing processes.

Abstract: Methods and systems for managing device startup are disclosed. Device keys used by boot up components of a data processing system to access one or more hardware and/or software components of the data processing system may be maintained by an entity installed within the data processing system that operates independently of a main processor of the data processing system. New and/or replacement device keys may be obtained by said entity while the data processing system is in a powered off state such that when the data processing system is later powered on, the boot up components will have access to the new and/or replacement device keys to effectuate a seamless boot up of the data processing system using newly installed ones of the one or more hardware and/or software components.

Abstract: The present disclosure relates to a method for automated logging of user complaints within a software environment. The method includes receiving a command from a user via a user recordal interface to initiate a complaint recording. In response, the system captures user interactions with the software, which include video files, audio files, and screen capture data. The captured data is processed to extract a representation of user's actions, specifically steps required to reproduce the complaint. The method further analyzes these interactions to identify relevant system components and retrieves system data such as logs, events, and diagnostic information associated with the identified components. This system data is synchronized with the captured user interactions based on temporal or contextual markers. A support ticket is generated, aggregating the captured interactions, extracted user actions, and retrieved system data.

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: Methods and systems for managing operation of a data processing system are disclosed. The data processing system may be managed during a startup process for the data processing system. The startup process may use startup data to enable functionality of hardware resources of the data processing system. During the startup process, the startup data may be validated by a management controller of the data processing system operating independently from the hardware resources. The management controller may report a validation state for the startup data to the hardware resources, and the hardware resources may use the validation state to guide completion of the startup process.

Abstract: Various embodiments described herein relate to systems and methods for training workforce in a facility. In this regard, traceability events captured by workers in the facility is initially received. These traceability events are related to products that are handled in the facility. Using predefined rules, the traceability events are then validated. Upon validation, it is determined if each of the traceability events comprises an error. If at least one traceability event comprises the error, the error is compared with a threshold value. If the error exceeds the threshold value, a training recommendation for at least one of the workers is provided. Additionally, at least one training module is identified based on the training recommendation. Also, the at least one of the workers is prompted to undertake the at least one training module.

Abstract: Methods and systems for managing data processing systems during a startup process of the data processing systems are disclosed. A human interface device (HID) is paired with a management controller of a data processing system instead of a dongle device is configured as a pair with the HID. No dongle devices are connected or plugged into any external-facing ports of the data processing system. The management controller includes a processor that operates separately and independently from a main processor of the data processing system that is responsible for initiating and executing a bootup sequence of the data processing system. The data processing system, while still in the startup process before an operating system (OS) of the data processing system is fully booted and operational, is controlled by the HID through the management controller instead of the non-existent dongle device.

Abstract: Various embodiments described herein relate to systems and methods for assessing one or more textual embeddings using an unlabeled dataset associated with a facility. The unlabeled dataset is retrieved from a database and provided to a language learning model. A labeled dataset is generated using the language learning model. Considering one or more portions of the labeled dataset, a proxy task is constructed. The proxy task comprises the one or more textual embeddings along with one or more evaluation metrics and one or more machine learning models. The proxy task is then executed for each of the one or more textual embeddings. Then, one or more performance metrics for each of the one or more textual embeddings is determined. Based on the one or more performance metrics, one of the one or more machine learning models is selected. Using the selected machine learning model, operations in the facility is optimized.

Abstract: The present disclosure relates to a method for generating reports for a product or process. The method comprises receiving a first user input defining a user role and user requirement for generation of a report of a commercial process or product. The method further comprises identifying one or more data sources storing information related to the commercial process or product, wherein the information includes raw data related to the commercial process or product, processed output obtained by performing statistical computations on the raw data, and reports including the processed output. The method also comprises retrieving the information related to the commercial process or product from the one or more data sources, determining associations of previously performed statistical computations with the first user input and the information related to the commercial process or product.

Abstract: The present disclosure provides a method and system for prioritizing translation requests in a translation service system. The method comprises receiving the one or more translation requests from the one or more users. The method further comprises extracting one or more attributes associated with the one or more translation requests, wherein the one or more attributes include at least one of: contextual information, frequency, size and language configuration of the one or more translation requests. The method further comprises assigning a weight to each attribute of the one or more translation requests. The method further comprises calculating a weighted score for the one or more translation requests based on the assigned weight to each attribute of the one or more attributes and ranking the one or more translation requests based on the weighted score. The method further comprises transmitting the one or more translation requests based on the rank to a data translation engine for translation.

Abstract: Methods and systems for managing interfaces for peripheral devices are disclosed. The peripheral devices may be managed by generating the interfaces after an unknown peripheral device of the peripheral devices is found. The interfaces may be generated by sending configuration data for the unknown peripheral device to an interface generator and receiving the interfaces from the interface generator. The configuration data for the unknown peripheral device may be collected by an agent. The agent may facilitate implementation of the unknown peripheral device to enable use of the unknown peripheral device in a data processing system.