Abstract: System and method for automatic entity relationship (ER) model generation for services as software is disclosed. ER model generation by automated knowledge acquisition is disclosed, and automation of knowledge generation process is disclosed. Information extraction process is automated and multilevel validation of information extraction process is provided. System comprises training module to train information extraction model, and knowledge generation module for population of ER model. Standard Operators are generated based on the ER model so generated (populated). Context aware entity extraction is implemented for the ER model generation. System and method leverages existing ER model to make the system self-learning and intelligent, and provides common platform for knowledge generation from different data sources comprising documents, database, website, web corpus, and blog.

Abstract: Disclosed is method and system for converting text used to perform an operation to reusable actionable knowledge form. Procedural knowledge available in run books is converted into reusable actionable knowledge form. The method comprises structuring the text by performing merging, grouping, editing, removing statements and marking statements present in structured text into action segments, predicates, and comments, by parsing technique and rule based reasoning. Predicate comprise conditions, action segment comprise actionable statements executed upon fulfilling conditions. Actionable statement is used to perform a task of the operation.

Abstract: A method and system is provided for building domain intelligent solution. The present application provides a method and system for building a domain intelligent solution, comprises of utilizing a language existing as a generic model for capturing intrinsic knowledge pertaining to a technical domain; creating a domain intelligent solution for said technical domain using said language or vocabulary; translating the domain intelligent solution into required wrappers for them to be integrated with a third party technology or tool; and integrating said created domain intelligent solution with the third party technology or tool for providing system engineering capabilities to make them domain intelligent.

Abstract: This disclosure relates generally to performing user segmentation, and more particularly to predicting attribute values for user segmentation. In one embodiment, the method includes segregating a user with an incomplete attribute value and a user with complete attribute values for an attribute into a first group and a second group respectively, computing prior probability for each suggestive attribute value, identified for the incomplete attribute value, based on number of users in second group having the suggestive attribute value as attribute value for the attribute. Computing likelihood for each suggestive attribute value based on similarity of the attribute values of the user of the first group with users of the second group, computing a posterior probability for each suggestive attribute value based on the prior probability and the likelihood, selecting a suggestive attribute value with the highest posterior probability as the attribute value for the incomplete attribute value of the user.

Abstract: Described herein, is a method for user segmentation for cost-based deployment of enterprise infrastructure. According to an implementation, for each of the users, a user fingerprint (UFP) score set comprising rating scores that quantify levels of enterprise-level needs of the each user is determined. For each of deployment solutions of the enterprise, a deployment fingerprint (DFP) score set comprising rating scores that quantify levels of capabilities of the each deployment solution enabled to meet enterprise-level needs of the users is determined. The users are grouped into user segments based on the UFP score sets of the users. A definition of each of the user segments is determined. The definition is indicative of a user whose enterprise-level needs define characteristics of the corresponding user segment. A number of user segments is found based on a cost associated with the deployment solutions for the user segments.

Abstract: A system and method for creating an instance model is provided. The system provides an information extraction and modeling framework from wide spectrum of document types such as PDF, Text, HTML, LOG, CSV, images, audio/video files and DOCX. In this framework information is extracted and mapped on a domain conceptual model like ER model and the instance model is created. Initially a template model is created using the existing ER model and the plurality of data sources. The template model, the existing ER model and the information extracted from the plurality of data sources are then provided as input to generate the instance model. The system or method is not limited to extract information from log files. This can be useful for different types of files type if the structures and formats of data are different. The system can also be used with unstructured type of data sources.

Abstract: Systems and methods for generating a blueprint for an enterprise is provided. The system obtains information pertaining to an enterprise from data sources, extracts entities from the information, and identifies relationships across the entities, performs conflict resolution check on the information received from the data sources based on pre-defined rules, identifies one or more missing links in the information. The system further computes a completeness score for the information based on at least one of the conflict resolution check and the missing links, and generates a blueprint of the information and the one or more entities for the enterprise. Authentic data sources are identified from the data sources based on at least one of assigned weight, and one or more instances of, and contribution by, the data sources in the information. The completeness score is computed based on the instances and contribution of the sources in the information.

Abstract: Methods and systems for Assurance-enabled Linde Buzo Gray (ALBG) data clustering is described herein. In an implementation, a user model data from a database available to the processor is obtained. The user model data comprises data elements or users, each of which corresponds to features and feature values associated with the users. These data elements of the user model data are segmented into clusters using our segmentation approach with an initial accuracy criterion parametric value and the output is captured as segment data. The segment data output is checked for initial pareto validity. If successful, iterative segmentation run with incremental accuracy criterion using parameterized value is performed till the segmented clusters are determined valid against pareto validity check. The last successful pareto valid segmented cluster data is considered as the finalized segment output data.

Abstract: System and method for automatically generating and executing service operation, implementation for executing a task is disclosed. Task information and Entity relationship model associated with task is processed to identify part of the Entity Relationship Model matching with the task. Service operation template associated with the task is identified based on task information; and part of the Entity relationship model and service operation template is processed dynamically to generate and execute service operation implementation for executing the task. In another aspect, a part of an Entity relationship instance model associated with the task is identified dynamically based on the part of the Entity Relationship Model matching with the task and the task information; and part of the Entity relationship Instance model and service operation template processed dynamically, to generate and execute the service operation implementation for executing the task.

Abstract: The present disclosure relates to system(s) and method(s) to provide compliance as a service for one or more organization. The system further facilitates identifying one or more causes involved to provide compliance as a service by analyzing compliance documents. The system and method also provides conversion of clauses into appropriate controls. The system and method also assists in defining control that can perform a specific task on a system. The system and method further provides mapping of compliance using control.

Abstract: System(s) and method(s) for facilitating design configuration of data center to provide management of the data center is disclosed. Input parameters providing design and operational requirements are received. Based on the input parameters, objectives are determined. The objectives refer to one or more technical requirements with respect to plurality of phases associated with the life cycle of the data center. The objectives are then used to create a generic configuration with respect to one or more services associated with the life cycle. The generic configuration is mapped with a predefined set of configuration stored in a knowledge repository in order to obtain a technology specific format. The generic configuration is further used to design a tool specific configuration to provide management of each phase of the life cycle of the data center.

Abstract: A system and method for creating an instance model is provided. The system provides an information extraction and modeling framework from wide spectrum of document types such as PDF, Text, HTML, LOG, CSV, images, audio/video files and DOCX. In this framework information is extracted and mapped on a domain conceptual model like ER model and the instance model is created. Initially a template model is created using the existing ER model and the plurality of data sources. The template model, the existing ER model and the information extracted from the plurality of data sources are then provided as input to generate the instance model. The system or method is not limited to extract information from log files. This can be useful for different types of files type if the structures and formats of data are different. The system can also be used with unstructured type of data sources.

Abstract: Systems and methods for generating a blueprint for an enterprise is provided. The system obtains information pertaining to an enterprise from data sources, extracts entities from the information, and identifies relationships across the entities, performs conflict resolution check on the information received from the data sources based on pre-defined rules, identifies one or more missing links in the information. The system further computes a completeness score for the information based on at least one of the conflict resolution check and the missing links, and generates a blueprint of the information and the one or more entities for the enterprise. Authentic data sources are identified from the data sources based on at least one of assigned weight, and one or more instances of, and contribution by, the data sources in the information. The completeness score is computed based on the instances and contribution of the sources in the information.

Abstract: The present subject matter relates to providing automated units for infrastructure support. In an example, an operation log having information pertaining to actions performed to resolve a ticket, may be filtered based on filtering attributes. The filtering attributes may aid in selection of content relevant for identifying an automatable unit from the operation log. The automatable unit may be one of a standard operator unit and a control flow unit. The content may be further analyzed to generate the automatable unit. The content may be analyzed using one of a sequence mining technique and a graph mining technique. Further, the automatable unit may be provided in a support service knowledgebase accessible by the users for dynamically resolving tickets similar to the ticket.

Abstract: A method and system is provided for building domain intelligent solution. The present application provides a method and system for building a domain intelligent solution, comprises of utilizing a language existing as a generic model for capturing intrinsic knowledge pertaining to a technical domain; creating a domain intelligent solution for said technical domain using said language or vocabulary; translating the domain intelligent solution into required wrappers for them to be integrated with a third party technology or tool; and integrating said created domain intelligent solution with the third party technology or tool for providing system engineering capabilities to make them domain intelligent.

Abstract: This disclosure relates generally to performing user segmentation, and more particularly to predicting attribute values for user segmentation. In one embodiment, the method includes segregating a user with an incomplete attribute value and a user with complete attribute values for an attribute into a first group and a second group respectively, computing prior probability for each suggestive attribute value, identified for the incomplete attribute value, based on number of users in second group having the suggestive attribute value as attribute value for the attribute. Computing likelihood for each suggestive attribute value based on similarity of the attribute values of the user of the first group with users of the second group, computing a posterior probability for each suggestive attribute value based on the prior probability and the likelihood, selecting a suggestive attribute value with the highest posterior probability as the attribute value for the incomplete attribute value of the user.

Abstract: System and method for automatic entity relationship (ER) model generation for services as software is disclosed. ER model generation by automated knowledge acquisition is disclosed, and automation of knowledge generation process is disclosed. Information extraction process is automated and multilevel validation of information extraction process is provided. System comprises training module to train information extraction model, and knowledge generation module for population of ER model. Standard Operators are generated based on the ER model so generated (populated). Context aware entity extraction is implemented for the ER model generation. System and method leverages existing ER model to make the system self-learning and intelligent, and provides common platform for knowledge generation from different data sources comprising documents, database, website, web corpus, and blog.

Abstract: Methods and systems for Assurance-enabled Linde Buzo Gray (ALBG) data clustering is described herein. In an implementation, a user model data from a database available to the processor is obtained. The user model data comprises data elements or users, each of which corresponds to features and feature values associated with the users. These data elements of the user model data are segmented into clusters using our segmentation approach with an initial accuracy criterion parametric value and the output is captured as segment data. The segment data output is checked for initial pareto validity. If successful, iterative segmentation run with incremental accuracy criterion using parameterized value is performed till the segmented clusters are determined valid against pareto validity check. The last successful pareto valid segmented cluster data is considered as the finalized segment output data.

Abstract: System and method for automatically generating and executing service operation, implementation for executing a task is disclosed. Task information and Entity relationship model associated with task is processed to identify part of the Entity Relationship Model matching with the task. Service operation template associated with the task is identified based on task information; and part of the Entity relationship model and service operation template is processed dynamically to generate and execute service operation implementation for executing the task. In another aspect a part of an Entity relationship instance model associated with the task is identified dynamically based on the part of the Entity Relationship Model matching with the task and the task information; and part of the Entity relationship Instance model and service operation template processed dynamically, to generate and execute the service operation implementation for executing the task.

Abstract: Systems and methods for configuring and performing operational services (OS) for a technology service (TS) corresponding to the received messages based on invoking the tools wherein the tools may be configured by translating the configuration of the services. The method includes: configuring the OS and executing the OS which further comprises the steps of identification of a first OS and a first operation based on the configuration, routing a first message received, executing the first operation by the first OS, routing the first message to the first OS identified. The first operation is performed by invoking a first tool wherein the first tool may send the first message to the router which further routes the first message to the OS with the first message eventually reaching the user via the TS. Similarly, a second operation may be performed by a second OS.