Abstract: The present invention provides for building a knowledgebase of dependencies between Configuration Items(CIs) associated with IT computing environment. In operation, the present invention provides for mapping a plurality of Configuration Items(CI) with respective one or more actions. The present invention further provides for tracking and capturing of one or more actions performed on one or more CIs in relation to resolving an activity related to a reported CI. Further, the present invention provides for identifying dependencies between one or more CIs and the reported CI based on the captured one or more actions. Furthermore, the present invention provides for building a knowledgebase of dependencies between CIs of the computing environment based on the identified dependencies between one or more CIs and the reported CI. Yet further, the present invention provides for generating visual representations of dependencies between CIs.

Abstract: The present invention relates to a system and method for assessing performance of a software release in a production environment. The attempt is to measure impact of delivered features and correlate with cost incurred in building those features to calculate a return on investment made. The disclosure, thus, provides for fetching relevant details from plurality of tools or data sources, correlating the fetched information and linking it with milestone data. This milestone data is labeled with a milestone id to enable querying of data sources and determine impact delivered. The determined impact is linked with calculated cost identifier to finally assess the release performance.

Abstract: The present invention provides for a system and a method for optimized data extraction of different document types. First digitised data is extracted from ingested documents based on extraction rules and is classified into first classified data based on pre-defined rules. Confidence score is assigned to first classified data based on comparison of first classified data with pre-defined data. A second digitised data is extracted from classified document types corresponding to first classified data via a tool selected from multiple integrated tools based on extraction rules. An extraction score is determined for second digitised data. Classified document types are validated based on pre-defined requirements. In the event the pre-determined requirements are met the confidence score and the extraction score are compared with pre-defined parameters. If the result is above a pre-determined threshold the second digitized data is transmitted as executable files to applications for execution.

Abstract: A system and a method for application transformation to cloud by conversion of an application source code to a cloud native code is provided. A first and a second transformation recommendation path is received and a set of remediation templates are applied based on the first and the second transformation recommendation paths where the set of remediation steps comprises pre-defined parameterized actions. The system comprises a microservices unit configured to optimize assessment and implementation of microservices code for multiple target cloud platforms by determining count of microservices anti-patterns in microservices code, wherein the anti-patterns represent a pattern of the microservices code and ascertaining current state of the microservices code by determining a maturity score. A set of repeatable steps associated with microservices code development are provided in bundled form for accelerated implementation of changes in the microservices code for deployment on the multiple target cloud platforms.

Abstract: The present invention provides for improving training dataset by identifying errors in training dataset and generating improvement recommendations. In operation, the present invention provides for identifying and correcting duplicate utterances in training dataset comprising utterances-intent pairs. Further, a plurality of Natural Language ML models are trained with the corrected training dataset to obtain diverse set of trained ML models. Each utterance of training dataset are fed as input to trained ML models, and a probability of error associated with each utterances-intent pairs of training dataset are evaluated based on analysis of respective intent predictions received from each of the trained ML models. Furthermore, spelling errors in the dataset are identified and data-imbalances in the training dataset are evaluated.

Abstract: A system and a method for automated data screening for background verification is provided. The invention provides for analyzing a first input file and a second input file. Data enrichment operation is performed on first input file and second input file based on captured client and CPs data from URLs which are extracted from open media sources or from data sources that organization has subscribed to obtain an enriched first input file and second input file. Matching operation is performed between enriched first input file and second input file. Adverse data is determined associated with clients and CPs data determined as true match and potential match in first input file and second input file. Further, extracted adverse data is cleaned and filtered to generate screened data associated with clients and the CPs data and generating output folder comprising output file including screened client and CPs and hit data.

Abstract: The present invention provides for fabricating virtual networks and allocating request-notifications therein for providing support-services securely and efficiently. In operation, a virtual network is fabricated based on network-registration requests received from plurality of computing devices. Further, a primary data structure representative of registered computing devices categorized into devices offering services and requiring services is generated based on information embedded in network-registration requests. Furthermore, a secondary data structure is generated by sub-categorising categorised computing devices based on information embedded in network-registration requests. Yet further, request-notifications for completing incoming support-requests from registered computing devices requiring services are generated.

Abstract: The present invention provides for migration of application running on source cloud platform to target cloud platform. In operation, the present invention provides for retrieving analysis-data including source code of application to be migrated, hereinafter referred to as application M, a runtime data of application M, and target cloud platform data. The present invention further provides for identifying migration parameters based on analysis-data. Further, migration readiness of application M to target cloud platform is assessed based on migration parameters. Furthermore, a migration readiness report is generated based on the migration parameters, migration readiness assessment and the runtime data. Yet further, deployment configurations for the application M are generated as per the target cloud platform based on the migration readiness report.

Abstract: The present invention relates to a system and method for application debt management with zero maintenance strategy that make the applications “fit for use” and “fit for purpose”. The objective is to ensure that applications run at the lowest cost, deliver maximum performance and serve the purpose for which it was developed. The machine learning enabled debt engine of present system reads the unstructured ticket data or debts, eliminates noise, and classify the debts into one of predefined categories. This is followed by remediation of debt via either of automation or healing workbench based on predetermined priorities.

Abstract: A system and a method for providing data computation using quantum computing is disclosed. In particular, the present invention enables client computing devices to readily access quantum computers and perform complex computational tasks using quantum computing. In operation, a computational problem is defined based on one or more inputs received from the client device. The one or more inputs include an objective, and one or more parameters associated with the objective. Further, a category associated with the computational problem is identified. Furthermore, one or more predefined machine learning codes are determined based on the identified category of the computational problem. Finally, the computational problem is encoded into a format interpretable by the quantum computers, and processed by the quantum computers based on the selected one or more machine learning codes to obtain an optimal solution to the computational problem.

Abstract: A system and a method for securing and authenticating serialized data associated with a product across a supply chain is disclosed. In operation, the present invention provides for generating a Hash ID by associating serialised data and serialisation ID of the product with a blockchain platform. Further, a set of authentication rules are generated for validating access to the serialised data based on the Hash ID. Furthermore, a plurality of identifier elements are generated for integration with one or more levels of product packaging. Yet further, access to the serialized data across the supply chain is authorized on determination of the authenticity of the supply chain participants based on the identifier elements using a decryption technique and the set of authentication rules. A result representative of authentication success or failure is stored in the blockchain platform.

Abstract: The present invention discloses a system and a method for detecting anomalous patterns in a network such as a LAN, WAN, MAN, internet of things (Iot), cloud networks, or any other network. In operation, the system and method of the present invention determines a generic pattern of behavior associated with a plurality of anomaly classes based on a plurality of feature values using reinforcement learning technique. The generic pattern is fixed as a boundary for each of the plurality of anomaly classes and is representative of behavior which substantially simulates the network behavior on attack by any of the plurality of anomaly classes. Further, the present invention, provides for updating the generic pattern using reinforcement learning. The updated generic pattern is implemented to analyze and detect anomalous behavior in the incoming network traffic in real time.

Abstract: A system and method for optimized generation of a single page application for multi-page applications is provided. A shell application is fetched for hosting a user interface (UI) associated with one or more child applications. The shell application is associated with multiple pre-defined frames. The shell application maintains a bi-directional communication with the child application until the UI associated with the child application remains hosted in the shell application. Further, UI extensions associated with the UI of the child applications are fetched. The UI extensions are in the form of one or more pre-defined UI visualization formats. Each of the fetched UI extensions are discrete UI extensions functioning independently of the other. Lastly, the UI extensions are deployed in the pre-defined frames associated with the shell application to generate a single page application.

Abstract: A system for monitoring one or more lab processes and predicting their outcomes is provided. The system comprises a data acquisition module configured to acquire at least one of: ambient data and experimental data in real time from one or more lab resources and instruments. The system further comprises a process setup and monitoring module configured to receive the acquired data and facilitate setting-up and monitoring of one or more processes in real time utilizing the received data. The system furthermore comprises an experiment prediction module that is configured to obtain data from the data acquisition module and process setup and monitoring module. The experiment prediction module is further configured to employ one or more machine learning techniques on the obtained data to generate one or more patterns to predict outcomes of the one or more processes conducted in the lab in real time.

Abstract: The present invention provides for a system and a method for reconstructing regression test cases using post production events. The present invention provides for a test case reconstruction engine configured to extract post-production identifiable elements associated with a post-production event and pre-production identifiable elements associated with a pre-production event. The present invention provides for a system and a method for determining similarity between the pre-production event and the post-production event based on a comparison of one or more pre-production parent identifiable elements and one or more pre-production child identifiable elements of a subject identifiable element, with the post-production identifiable elements.

Abstract: A system and method for anti-pattern detection for computing application prior to deployment in cloud environment is provided. The present invention provides for applying a pre-defined set of rules on one or more applications source code. The pre-defined set of rules are applied in pre-defined order. Further, applying one or more anti-pattern detection models on one or more applications source code. The anti-pattern detection models are applied for determining correlation between one or more syntax patterns of the application source code and the anti-patterns detection models. Further, detecting anti-patterns associated with the syntax patterns of the application source code based on the pre-defined set of rules and the anti-patterns detection models. The detected anti-patterns represent unique anti-patterns. Lastly, generating a migration actionable event for the application source code based on the detected anti-patterns.

Abstract: The present invention relates to a system and method for supporting application resilience. The objective is to engineer fault awareness and recovery capabilities in an application. The system provides a structured, repeatable and comprehensive approach for addressing resilience of IT systems. Further, it proposes a well-defined set of activities and specifies output for each phase which when integrated into regular SDLC will help systematically build resilience into enterprise applications. The system further optimizes the effort involved using a vulnerability based scoring mechanism that provides the right level of engineering needed based on the applications susceptibility to failures and the impact to the customer's business activities.

Abstract: A system and method for providing location based services for user-fee chargeable facilities is provided. The invention provides for detecting location, and offering and charging for usage of user-fee chargeable facilities. The invention further provides a convenient and common platform for offering user-fee chargeable services from different organizations. Furthermore, the invention provides a system and method that facilitates payment of fees through multiple payment channels, provides opportunities for using accumulated loyalty points in lieu of payments, availing personalized discounts and/or offers in lieu of financial payments and provides options for sharing the payment of fees between multiple users. The invention also provides a system and method that helps facility owners and operators and third party partners to reduce costs and increase revenue leveraging location-based services.

Abstract: A system and method for automated data visualization and modification of visualized data is disclosed. The present invention provides for identifying data points and data types associated with the selected data. Further, one or more visual representations for rendering the selected data are evaluated based on the identified data points and the data types. Yet further, the selected data is optimally visualized based on an identification of a display device type. The present invention further provides for evaluating a theme of visual representations using a real-time lighting information of the real world environment based on identification of the display device type. The selected data is visualized using the evaluated theme of visual representations and the evaluated one or more visual representations. Yet further, the present invention provides for identifying user actions and interpreting inputs from the identified user actions to update or modify visualized data.

Abstract: A system and method for converting an input dataset based on a query received via a user interface into one or more defined range values is provided wherein the input dataset is converted into one or more defined range values based on a conversion value matrix. The present invention provides for encrypting the defined range values of the input dataset into a first cipher text matrix. Further, the present invention provides for encrypting the conversion value matrix into second cipher text matrix. The present invention provides for performing a computation operation between the first cipher text matrix and the second cipher text matrix to generate an aggregated cipher text matrix. The present invention provides for decrypting the aggregated cipher text matrix into a decrypted result matrix. The present invention provides for performing an aggregation operation by counting pre-defined digit in each column of the decrypted result matrix.