公开(公告)号：US11044096B2

公开(公告)日：2021-06-22

申请号：US16385802

申请日：2019-04-16

Applicant: Accenture Global Solutions Limited

Inventor： Kapil Singi ,  Swapnajeet Gon Choudhury ,  Vikrant S. Kaulgud ,  Jagadeesh Chandra Bose Rantham Prabhakara ,  Sanjay Podder ,  Adam Patten Burden

IPC: H04L9/32 ,  H04L9/06 ,  H04W12/06 ,  H04W12/108

Abstract: A device may obtain information identifying a base application. The device may extract a set of sub-application artifacts associated with the base application based on structural information associated with the base application. The device may define a set of metadata attributes associated with the set of sub-application artifacts associated with the base application. The device may generate a set of hash tuples for the set of metadata attributes associated with the set of sub-application artifacts associated with the base application. The device may generate a base composite identity of the base application based on the set of hash tuples. The device may store the base composite identity in a blockchain and in connection with storage of the base application in the blockchain to enable subsequent identification and verification of the base application.

公开(公告)号：US20250086563A1

公开(公告)日：2025-03-13

申请号：US18463002

申请日：2023-09-07

Applicant: Accenture Global Solutions Limited

Inventor： Kuntal Dey ,  Kapil Singi ,  Kanchanjot Kaur Phokela ,  Swapnajeet Choudhury ,  Ritu Pramod Dalmia ,  Vibhu Saujanya Sharma ,  Vikrant Kaulgud ,  Teresa Sheausan Tung ,  Alok Tyagi ,  Lan Guan ,  Sundharraman Karthik Narain ,  Gopali Raval Contractor ,  Jagan Mohan ,  Margaret Cooney Ding ,  Srinivasan Saravanamuthu ,  Rajendra Prasad Tanniru ,  Niel Eyde ,  Pragya Sharma

IPC: G06Q10/067 ,  G06F16/33

Abstract: Aspects of the present disclosure provide systems, methods, and computer-readable storage media that support intelligent re-use of knowledge (e.g., across an organization) using a natural text-based querying framework. A knowledge representation of prior work performed for the organization may be generated based on organizational knowledge (e.g., historical work record data that identifies a plurality of work items across an organization). The knowledge representation may include individual work-record entities for each respective work item and individual knowledge graphs corresponding to the individual work-record entities. For each individual knowledge graph, operations may be performed to identity and store project name, subgraph, sentence embedding, and word embedding information. Responsive to receiving an augmented user query, query-record mapping operations may be performed based at least in part on a comparison of information associated with the augmented user query to the project name, sentence embedding, word embedding, subgraph information, or a combination thereof.

公开(公告)号：US11213948B2

公开(公告)日：2022-01-04

申请号：US16186006

申请日：2018-11-09

Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED

Inventor： Janardan Misra ,  Vikrant Kaulgud ,  Divya Rawat ,  Kapil Singi ,  Sanjay Podder

IPC: B25J9/16 ,  G05B19/41 ,  G05B19/4155 ,  G06Q30/00

Abstract: In some examples, temporal variation identification of regulatory compliance based robotic agent control may include ascertaining a temporal sequence of compliance specification text, where the temporal sequence may include time points and versions of the compliance specification text at the time points. For each time point of the temporal sequence of the compliance specification text, a compliance specification graph may be generated. Based on an analysis of each of the generated compliance specification graphs, changes in the temporal sequence of the compliance specification text may be determined. Further, an operation associated with a robotic agent may be controlled by the robotic agent and based on the determined changes in the temporal sequence of the compliance specification text.

公开(公告)号：US11157247B2

公开(公告)日：2021-10-26

申请号：US16775073

申请日：2020-01-28

Applicant: Accenture Global Solutions Limited

Inventor： Kapil Singi ,  Vikrant Kaulgud ,  Swapnajeet Gon Choudhury ,  Jagadeesh Chandra Bose R. P. ,  Vibhu Saujanya Sharma ,  Sanjay Podder ,  Adam Patten Burden

IPC: G06F8/36 ,  G06F8/70 ,  H04L9/06

Abstract: System and methods for cryptologic digital twin segregation with blockchain for development operations are provided. By way of introductory example, a system may receive a first development object from a first devops tool and a second development object from a second devops tool. The system may identify, in a segregation model graph, a first node and a second node, the first node corresponding to the first development object and the second node corresponding to the second development object. The system may determine the first node is mapped to an off-chain storage classification and the second node is mapped to an on-chain storage classification. The system may store the first development object in an off-chain storage, generate a hash value of the first development object, and store the hash value of the first development object on a blockchain. The system may store the second development object on the blockchain.

公开(公告)号：US10198250B1

公开(公告)日：2019-02-05

申请号：US15862471

申请日：2018-01-04

Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED

Inventor： Vibhu Sharma ,  Sanjay Podder ,  Kapil Singi

IPC: G06F8/41 ,  G06F8/75 ,  G06F9/445 ,  G06F17/30

Abstract: According to an example, partitioning based migration of systems to container and micro-service based-platforms may include determining, based on an analysis of source code for an application that is to be partitioned, an entity model corresponding to the application, identifying resources associated with the application, and determining a mapping of the identified resources to entities of the entity model. Further, partitioning based migration of systems to container and micro-service based-platforms may include identifying dependencies for each of the mapped resources, generating dependency and control flow metrics for the application, generating affinity values between the mapped resources, generating a resource affinity graph, determining an affinity score between each of the mapped resources, and generating resource clusters that correspond to partitions of the application.

公开(公告)号：US20180260313A1

公开(公告)日：2018-09-13

申请号：US15880797

申请日：2018-01-26

Applicant: Accenture Global Solutions Limited

Inventor： Kapil Singi ,  Alpana Dubey ,  Vikrant Kaulgud

IPC: G06F11/36 ,  G06F17/30

CPC classification number: G06F11/3688 ,  G06F11/3636 ,  G06F17/30958

Abstract: An application testing developer system provides a platform for generating real-time suggestions for allocating test cases to testers in a distributed environment based on monitored characteristics from previous testing of a test application. The application testing developer system includes a smart advisory tool that optimizes test case allocation in real-time, adaptively assigns incentives in real-time to test cases for prioritizing testing of certain test cases over others, and monitors and validates testing activities.

公开(公告)号：US12131198B2

公开(公告)日：2024-10-29

申请号：US17673615

申请日：2022-02-16

Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED

Inventor： Janardan Misra ,  Vikrant Kaulgud ,  Kapil Singi ,  Sanjay Mittal

IPC: G06F9/50 ,  G06F9/48

CPC classification number: G06F9/5088 ,  G06F9/4881 ,  G06F9/5072 ,  G06F9/5077 ,  G06F2209/505

Abstract: In some examples, collective application portfolio migration control may include determining, for a plurality of applications that are to be clustered for migration to a cloud environment, a coupling coefficient that represents a type of coupling between pairs of applications from the plurality of applications, a proximity coefficient that represents application proximities, and a connectedness coefficient that represents application connections. A combined application relatedness coefficient may be determined based on the coupling coefficient, the proximity coefficient, and the connectedness coefficient. A portfolio graph may be generated based on the combined application relatedness coefficient to generate migration application clusters to duster the plurality of applications. Migration of the plurality of applications to the cloud environment may be controlled based on the migration application clusters.

公开(公告)号：US20240345897A1

公开(公告)日：2024-10-17

申请号：US18301703

申请日：2023-04-17

Applicant: Accenture Global Solutions Limited

Inventor： Manish Ahuja ,  Swapnajeet Gon Choudhury ,  Kapil Singi ,  Kuntal Dey ,  Vikrant Kaulgud ,  Adam Patten Burden

IPC: G06F9/50 ,  G06F11/34

CPC classification number: G06F9/5077 ,  G06F11/3495

Abstract: Intelligent AI-based systems and methods of generating architecture diagrams for cloud computing-based infrastructures. The system can ingest and process requirement data and identify intents associated with the software. Based on the classifications of the requirement data, the system can automatically extract dependencies between software layers and microservices in order to identify the most appropriate components for the application. In some embodiments, validation can be performed in which a digital twin model is implemented. Implementation of such as system can eliminate manual errors and variability based on human skill sets, as well as enable risk-free testing of the architecture based on the application goals.

公开(公告)号：US12019776B2

公开(公告)日：2024-06-25

申请号：US17733726

申请日：2022-04-29

Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED

Inventor： Kapil Singi ,  Vikrant Kaulgud ,  Kanchanjot Kaur Phokela ,  Kishore P. Durg ,  Swapnajeet Gon Choudhury

IPC: G06N5/022 ,  G06F16/2455 ,  G06F16/2457 ,  G06F16/2458 ,  G06F21/62

CPC classification number: G06F21/6218 ,  G06F16/24564 ,  G06F16/2457 ,  G06F16/2458 ,  G06N5/022

Abstract: In some examples, policy-based application architecture generation may include generating, based on a knowledge model schema, data residency policies, and a data classification ontology, a knowledge model, and determining, based on the knowledge model, whether an application includes regulated data. Based on an analysis of application data and user data, user location and regulated data insights may be generated to determine location specific data residency policies. Location specific regulated data in-flow and data source hosted location insights may be analyzed to determine a location compliance assessment that includes an indication of whether a location associated with the application is compliant or not compliant with the location specific data residency policies. Based on an indication of non-compliance, a strategy may be generated for compliance of application architecture for the application with the location specific data residency policies, and re-architecting of the application architecture may be implemented.

公开(公告)号：US11416524B2

公开(公告)日：2022-08-16

申请号：US17100569

申请日：2020-11-20

Applicant: ACCENTURE GLOBAL SOLUTIONS LIMITED

Inventor： Kapil Singi ,  Vikrant Kaulgud ,  Sanjay Podder ,  Adam Patten Burden ,  Swapnajeet Gon Choudhury ,  Rambhau Eknath Rote ,  Kishore Durg ,  Raghunandan Hemmige Keshava ,  Swati Sharma

IPC: G06F16/28 ,  G06F16/901 ,  G06N5/02

Abstract: In some examples, data classification and modelling based application compliance analysis may include generating, for application data for an application, and based on data laws, a knowledge graph schema that is used to generate an instantiated knowledge graph. Based on a plurality of data sources, domain knowledge and patterns, and the instantiated knowledge graph, classified data may be generated to generate an annotated knowledge graph. Based on the annotated knowledge graph, an indication of applicable sovereign laws and compliance related to the application data for the application may be generated. Based on the annotated knowledge graph and the applicable sovereign laws and compliance related to the application data for the application, a sovereign cloud strategy related to the application data for the application may be generated. Further, the sovereign cloud strategy may be applied to the application data for the application.