Abstract: A system and method for identification of false duplicate consignees in a recall process is disclosed. The system comprises a storage and at least one processor coupled to the storage. The processor is configured to classify a plurality of consignees into a first list and a second list, wherein the first list comprises one or more unique consignees and the second list comprises one or more duplicate consignees from amongst the plurality of consignees. Further, the processor is configured to obtain metadata associated with the one or more duplicate consignees comprised in the second list. Further, the processor is configured to select for each of the one or more duplicate consignees, at least one false duplicate verification rule from a plurality of false duplicate verification rules that is to be used for determining a veracity of the one or more duplicate consignees present in the second list, based on the metadata associated with each of the said one or more duplicate consignees.

Abstract: Approaches for managing product recall effectiveness are described. According to an example, distribution data, that describes movement of various a plurality of units of a product among one or more entities involved in procurement and distribution of the plurality of units in a distribution chain of the product, is obtained. The distribution data is processed to identify a bottleneck entity, from the one or more entities, that are affecting recovery of the plurality of units of the product by an organization. Then, an optimal communication strategy is generated for communicating with the bottleneck entity to enable recovery of the plurality of units of the product by the organization.

Abstract: Techniques for identification of entities in a multistage entity coordination network are disclosed. An entity identification signal, indicating at least one of entity descriptors and resource descriptors, is received. An entity intelligence database, comprising empirical entity indicators and empirical resource indicators, is assessed. Each empirical entity indicator identifies one of the plurality of entities, and each empirical resource indicator is linked with an entity and indicates a resource attribute of that entity. A set of empirical entity indicators correlating with the entity descriptors and a set of empirical resource indicators correlating with the resource descriptors are identified. Based on these correlations, a set of entities is identified from amongst the plurality of entities that likely comply with specified resource characteristics. A multistage entity indication signal is then generated to cause rendering of the identified set of entities.

Abstract: Approaches for proactive product risk assessment are described. According to one example, forum data available on public forums is parsed to retrieve recall and feedback (RF) data corresponding to a target product. The RF data is analyzed to identify analytical tools to be implemented for assessing the target product and determine an assessment workflow indicating a sequential order of analytical tools to be followed for assessing the target product. Tool-specific input data corresponding to each of the analytical tools may be generated and analyzed to obtain tool-specific output data from each of the analytical tools by implementing the analytical tools in accordance with the sequential order. Tool-specific output data obtained from the analytical tools are processed to identify probable quality concerns in the target product and generate an assessment report, including the probable quality concerns, corresponding to the target product.

Abstract: Techniques for assessment of a workflow and generation of recommendations are disclosed. A workflow record comprising operation specification for each of the interlinked operations is obtained. The operation specification is encoded into vector specifications, and a semantic conformity assessment is performed between the vector specifications and prescribed vector specifications derived from a reference workflow record. The reference workflow record includes prescribed operation specifications and linked data objects. Based on the assessment, a candidate set of prescribed operations semantically conforming with the operational workflow's operations is identified. A recommendation generation signal is then generated to cause rendering of the candidate set of prescribed operations and their linked data objects. The approach enables probable enhancement of the workflow by identifying and suggesting relevant operations and associated data from a reference workflow record.

Abstract: Techniques for managing product recall drives are disclosed. In an example, a logon request is received from a computing device, where the logon request corresponds to a consignee of a product associated with a product recall drive and comprises a first information to facilitate logon of the consignee onto a consignee portal. A geographical location of the computing device is then determined to be within a predetermined range of at least one of expected geographical locations of the consignee. In response to the determination, authenticity of the consignee is verified, and the consignee is logged on onto the consignee portal. The consignee is logged on based on the first information to allow the consignee to provide information corresponding to the product associated with the product recall drive.

Abstract: Techniques for domain-based quality management are disclosed. A domain-specific data to assess quality thereof is received and processed using the analysis model. One of a plurality of standardized domain-specific data framework that is to correspond to the domain-specific data is identified using the analysis model. Each of a plurality of fields of the domain-specific data is mapped with a field of the first plurality of fields of the identified standardized domain-specific data framework using the analysis model. Critical quality control factors are monitored using the analysis model. Alerts are generated in response to the monitoring. Customized visualizations and predictive analytics are displayed based on the monitoring.

Abstract: Disclosed systems and methods for authenticating virtual machines, upon detecting a virtual machine launch (VML) request associated with a hypervisor and an unconfirmed VM, request a VM signing (VMS) certificate from a deployment/verification cloud server. The VMS certificate is forwarded to a certificate store of the hypervisor. After an unconfirmed VM is successfully authenticated, the VMS certificate may be deleted from the hypervisor certificate store. If an alert indicating a failed authentication associated is detected, termination operations are performed to prevent the unconfirmed VM from running under the hypervisor. The termination operations may include identifying a suspect key or signature associated with the unconfirmed VM and recording the suspect key or signature in a prohibited database store, such as a UEFI Secure Boot DBX variable store. For example, a suspect key or signature may be a key used to sign the unconfirmed VM.

Abstract: The present disclosure provides a method for processing data and service system thereof. The present disclosure comprises a steps for receiving a plurality of data from one or more users, wherein the plurality of data includes text in a source language. The present disclosure further comprises steps for storing the plurality of data in a delimited format, wherein the plurality of data is arranged in one or more rows and one or more columns based on the plurality of information associated with one or more users, wherein the data in the one or more rows and the one or more columns are stored in the form of one or more cells comprising one or more characters. The present disclosure further comprises steps for identifying the cell with largest character count from the one or more rows and selecting the row corresponding to the identified cell.

Abstract: The present disclosure provides a method and system for embedding contextual video content for optimizing a user's workflow on a task. The method comprises selecting at least one task to be performed by one or more users and identifying the profile of the one or more users based on the selected task. The one or more current actions of the user on the workflow are assessed to obtain real time correlations between the one or more current actions and historical workflow metrics of the user, wherein the historical workflow metrics comprises one or more previous actions or preferences of the user for executing the workflow of the at least one selected task. The method further comprises determining that the one or more users requires contextual assistance to execute the workflow of the at least one selected task when the one or more current actions of the user reaches a pre-defined threshold.

Abstract: Approaches for executing feedback techniques for processing of natural language queries are described. According to one example, upon receiving a customization request in relation to a visual indicator, data fields associated with the visual indicator are displayed. Each of the data fields represents a subset of data stored within one or more datasets, the data being graphically representable through the visual indicator. A first input, including additional synonyms to be assigned to a data field from the data fields, is received. A list of pre-assigned synonyms, associated with the data field for processing of natural language queries for one or more topics, is obtained. The additional synonyms are reconciled with the list of pre-assigned synonyms to obtain an updated list of pre-assigned synonyms for the data field. The updated list of pre-assigned synonyms may be used for future processing of natural language queries raised for the one or more topics.

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 to manage workflow executed by product recall management system PRMS are described. Correlation information associated with a first step of the workflow for recall of a product is retrieved. The first step comprises first action item to be executed by a first user and correlation information identifies second action item, associated with a second step of workflow, initiation of execution of which depends upon completion of execution of first action item. A visual indicator depicting logical association of pendency of second action item with pendency of first action item is presented to first user based on correlation information. Status of first and second step is determined based on execution of respective action items. If status of first step is pending, a schedule for completion of execution of first action item is generated based on scheduled date of completion of recall and depicted to first user through visual indicator.

Abstract: Approaches for conducting investigations in an organization are described. The approach includes obtaining domain expert (DE) data, including first set of domain specific questions indicative of investigative steps for conducting an investigation, corresponding to each of a plurality of domains. For each domain, the DE data and second set of domain specific questions are parsed to generate an investigation workflow to be followed for conducting the investigation. Second set of domain specific questions are contextually similar variations of the first set of domain specific questions. Investigation workflows associated with the plurality of domains are compiled to generate the instruction guide. An investigation model is trained to handle investigation requests by analyzing user complaints and the instruction guide.

Abstract: The present disclosure discloses a system implemented with an integrated web service platform for automatically identifying role and access profile of a user. The system utilizes the textual input to identify the role and access profile of the user across the web services that are integrated within the integrated web service platform. The textual input defines the desired role and access profile of one or more users. The system processes and analyses the textual input to identify the roles and access profiles that are required to be updated in configured roles and access profiles of the users in accordance with the textual inputs. According to an embodiment, the system uses natural language processing (NLP) techniques to identify the related keywords, from the textual inputs. The related keywords are then mapped with labels associated with the configured roles and access profiles of the users to select relevant labels for updating the role and access profile.

Abstract: The present disclosure discloses a system that iteratively computes the optimal size for the context window such that the optimal size of the input data fits within the threshold size of the context window. In an embodiment, the system invokes the LLM to perform a specific task using output that is generated after the iterative computation as a dataset and the optimal size for the context window. The disclosed methodology addresses the issue of limited window size in LLMs by reducing the redundancies in the input data by iterative computation. Further, the disclosed methodology eliminates the need to call the LLM often to generate a response or prediction.

Abstract: Approaches for efficient data access authentication during user sessions established with a first client application controlled by a server are described. The approach involves generating, by the server, a unique, obfuscated claim set for each user session requested to be established by a user with the client application. The obfuscated claim set is derived based on a set of attributes, including user-specific attributes, session-specific attributes, and historical attributes. The obfuscated claim set derived by the server is to be provided to the first client application for being used for data access authentication during the user session. For every application programming interface (API) call received from the first client application to access protected data during the user session, access to the protected data is controlled by the server based on a comparison of a claim set received within the API call with the obfuscated claim set.

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: Approaches for automated assessment and optimization of recall risk associated with product batches are described. According to one example, a batch production plan (BPP) corresponding to a product batch is obtained and analyzed to compute a global recall risk value associated with manufacturing the product batch utilizing the BPP. The BPP may describe multiple production stages and indicate control variables governing performance parameters of the production stages. Parameter-specific recall risk values for the performance parameters of all the production stages are calculated and aggregated to compute the global recall risk value. If the global recall risk value is greater than a desired threshold risk value, candidate control variables within the BPP are modified to improvise candidate performance parameters for optimizing the BPP and generating an optimized batch production plan (OBPP). The OBPP has an optimized global recall risk value equal to or lower than the desired threshold risk value.

Abstract: Approaches for workflow management process are described. According to one example, a plurality of workflow phases is configured for the workflow management process. For each of the plurality of workflow phases, at least one prespecified workflow object and a workflow object identifier for the at least one prespecified workflow object are obtained. The at least one prespecified workflow object is to implement a respective workflow phase from among the plurality of workflow phases. Further, the at least one prespecified workflow object is stored for implementation in the workflow management process when a proximity of the at least one prespecified workflow object with each workflow phase of the plurality of workflow phases is within a prespecified threshold or a similarity coefficient between semantics of the workflow object identifier and semantics of each workflow phase are between the semantics.