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公开(公告)号：US20240281238A1
公开(公告)日：2024-08-22
申请号：US18206130
申请日：2023-06-06
Inventor： Madhu RAJAGOPALAN , Surendranathan Ardhanari , Senthikumar Chinnusamy , Trichur Krishnan Narayanan
Abstract: A system and a method for optimally assembling application modernization solutions is provided. One or more direct inputs or indirect inputs relating to application modernization solution determination are received as a query to identify and analyze one or more parameters associated with the inputs. Application modernization solutions are determined based on the analyzed parameters by applying a pattern recognition technique. Proximity and similarity of the parameters is assessed with the determined application modernization solutions by applying a nearest search technique. Lastly, the application modernization solutions are assembled for generating one or more catalogue application modernization solutions.
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公开(公告)号：US11741194B2
公开(公告)日：2023-08-29
申请号：US17130756
申请日：2020-12-22
Inventor： Srinivasan Thiagarajan , Saritha Panapparambil Abubacker , Surendranathan Ardhanari , Vinoth Kumar Devarajan , Yuvarajan Mani , Suganya Thirumalaisamy , Saranya Nedumaran , Vijayalakshmi Senthilkumar , Manikandan Namasivayam , Radha Ponram , Monalisa Behera
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.
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公开(公告)号：US20230401038A1
公开(公告)日：2023-12-14
申请号：US17985458
申请日：2022-11-11
Inventor： Madhu Rajagopalan , Surendranathan Ardhanari , Senthilkumar Chinnusamy , Trichur Krishnan Narayanan
IPC: G06F8/10 , G06F8/60 , G06Q30/06 , G06F3/0482
CPC classification number: G06F8/10 , G06F3/0482 , G06Q30/0631 , G06F8/60
Abstract: A system and a method for optimized modernization of applications is provided. Pre-defined categories of application modernization and technology stacks are received as a query. The pre-defined categories of application modernization and technology stacks are rendered via a user interface (UI) based on a first set of pre-defined rules. Further, application modernization identifiers associated with the query are determined. A compatibility check is carried out between the identifiers based on a pre-defined compatibility rule. Further, a solution for application modernization is recommended based on a second set of pre-defined rules by analyzing the identifiers. Lastly, a Modernization Acceleration Kit (MAK) associated with the identifiers is generated based on the recommended solution for implementation of the recommended solution for optimized modernization of the application.
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公开(公告)号：US20230045408A1
公开(公告)日：2023-02-09
申请号：US17873330
申请日：2022-07-26
Inventor： Srinivasan Thiagarajan , Surendranathan Ardhanari , Marilyn Jacob , Sadhana Sadasivam , Sudha Gurlhosur , Mosheca Ravichand , Prachi Raut , Kushagra Saxena , Sridhara Nagamangala Ranganath
Abstract: The present invention relates to a system and method for creating artificial intelligence-based knowledge bot application. The objective is to cater to various needs of knowledge transition at organizational level. Accordingly, the bot application can collect and extract knowledge from transition artifacts related to multiple applications in any format. Availability of existing knowledge or standard keys in collected artifacts is assessed along with associated knowledge gaps using a machine learning approach.
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