Abstract: Examples techniques to manage compilation of documents are described. A complaint document comprising a complaint in respect of a product is received. The complaint document is parsed to identify a type of the complaint. One or more legal documents databases is accessed to obtain outcome data pertaining to outcomes of complaints similar to the type of the complaint received in respect of the product. The outcome data is indicative of one or more documents referenced as evidence documents by a third-party in respect of the similar complaints. From a product lifecycle database, documents containing data generated at each of the stages of lifecycle of the product is retrieved. From amongst the retrieved documents, a set of documents to be furnished as evidence documents before the third-party to address the complaint is identified.

Abstract: Provided is a system for facilitating recovery of deleted computing resources in a cloud network environment. A centralized resource recovery service may communicate with a plurality of resource management services that are each configured to create, modify, or delete their respective computing resources such as storage volumes, databases, and compute instances. The resource recovery service may allow creation of immutable resource retention rules that are, under certain conditions, unable to be deleted or modified, even by an administrative user who created such retention rules. Such immutable retention rules may be used to thwart malicious attempts to permanently delete resources by deleting the retention rules that govern such resources. Since such attempts to delete such immutable retention rules would fail, the retention rules would continue to apply and allow deleted resources to be placed in a recoverable state according to the retention rules.

Abstract: Techniques for recommending a workflow for generation of a collated information record are disclosed. Data descriptors are retrieved by parsing a record generation query. An interlinked operations set is determined, comprising operations to be performed for generating the collated information record. A facilitator tool set is identified to perform the operations and generate operation-facilitator tool combinations. A designated competent entity is then determined for each combination, being capable of executing an operation using a facilitator tool. A workflow signal is generated to render a recommended workflow for each designated competent entity, comprising the operation, the facilitator tool, and information to be collated. The recommended workflow is executable for generating the collated information record.

Abstract: Approaches for creating and executing queries on data content are described. According to one example, selection of at least two data fields may be received from a user, for creating a query. The at least two data fields may correspond to a portion of the data and may indicate different attributes or parameters for creating the query. In response to the selection, the query may be validated in real-time for notifying any error in the query.

Abstract: Disclosed systems and methods provide location-aware multi-factor authentication for VM users in combination with the prohibited users lists and disconnecting VMs based on user behavior or activity. Implementations may employ a hypervisor enabled by a lightweight, secure operating system (LSOS) as a foundational, enabling, and OS-agnostic technology for multiple uses cases. An LSOS authenticator module may generate IP location based authentication number for user authentication. An OEM Secure VM manager in Domain0 (Dom0) of a Xen cloud computing model may monitor user activity while Secure OEM Hypercall communication is employed for all communication from VM to LSOS. Embodiments may employ a LSOS VM prohibited users module and hypervisor action module to remove users and destroy VMs based on data received from Dom0, VM Manager and the user module in the VM.

Abstract: The present disclosure provides a system for providing virtual assistant for generating customized query for retrieving data from a database. The system comprises a processor and a memory storing program instructions, which, when executed by the processor, causes the processor to provide one or more index of categories of the data, for efficient retrieval of the data from the database based on a customer's query. The processor is also configured to provide one or more few-shot prompts for use by the customer for generating an output in a predetermined format corresponding to the customer's query. The processor is configured to receive a query from the one or more customer, wherein said query is a text and is based on at least one of index of categories and the few-shot prompt. The processor, based on indexes and few-shot prompt processes the query using natural language processing to extract one or more textual content from the query and sends the query to the database for retrieval of the data.

Abstract: Systems, apparatuses, methods, and computer program products are provided. For example, a computer-implemented method provided herein may include receiving a system architecture. In some embodiments, the system architecture is representative of a plurality of services and a plurality of services metadata datasets. In some embodiments, the computer-implemented method may include parsing the system architecture to generate a plurality of services resource consumption representation requests. In some embodiments, the computer-implemented method may include processing the plurality of services resource consumption representation requests using a plurality of services resource consumption utilization tools. In some embodiments, the computer-implemented method may include receiving a plurality of services resource consumption responses from the plurality of services resource consumption utilization tools.

Abstract: Systems, apparatuses, methods, and computer program products are provided. For example, a computer-implemented method may include receiving one or more datasets from a user. In some embodiments, computer-implemented method may include storing at least a portion of the one or more datasets in a first shard during a first time period. In some embodiments, the first shard comprises shard data. In some embodiments, the shard data is associated with a data size. In some embodiments, computer-implemented method may include determining that the data size of the shard data in the first shard is greater than a first data size threshold. In some embodiments, computer-implemented method may include in response to the determination that the data size of the shard data in the first shard is greater than the first data size threshold, transferring at least a portion of the shard data in the first shard to a second shard.

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.