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US 2023/0144538 A1Published application
Query language tool based self driven system and method for operating enterprise and supply chain applications
AssigneeNB Ventures, Inc. DBA GEP
InventorsSubhash Makhija, Santosh Ganesh Dattatraya Bhat, Huzaifa S. Matawala
Life of this patent
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Abstract
The present invention provides self-driven AI based system and method for operating one or more applications including enterprise application and supply chain management applications. The system includes centralized data lake for storing data received from plurality of distinct sources, a control tower configured for sensing change in attribute of the received data and determining impact of the change on plurality of functions of EA and SCM applications.
Claims20
A self-driven system for operating one or more applications, the system comprising:
- a query language (QL) tool configured for receiving, translating and extracting data related to a plurality of functions of the one or more applications, the tool comprises:
- an electronic user interface configured to receive a query data from the user;
- a translator/interpreter for translating the query data into characters using natural language processing (NLP) and generating a plurality of tokens;
- a code generator configured to receive the tokens from the translator/interpreter and generating a code using a data mapper and ingestion module for creating an AI based machine learning query;
- and
- at least one data model created based on at least one attribute of the query data and the tokens,
- wherein the machine learning query is processed to extract a recommendation based on to the query data received from the user, wherein a bot creates at least one script based on the data models, the machine learning query, the at least one attribute of the query data and AI based processing logic for recommending an action/task to automatically re-calibrate the plurality of functions of the one or more applications.
4 more elements
A method for operating one or more applications, comprising:
- receiving, translating and extracting data related to a plurality of functions of the one or more applications by a query language (QL) tool, wherein the tool includes
- an electronic user interface configured to receive a query data from the user;
- a translator/interpreter for translating the query data into characters using natural language processing (NLP) and generating a plurality of tokens;
- a code generator configured to receive the tokens from the translator/interpreter and generating a code using a data mapper and ingestion module for creating an AI based machine learning query;
- and
- at least one data model created based on at least one attribute of the query data and the tokens;
- determine characteristic of at least one attribute of one or more of the plurality of received data wherein characteristic includes change in the at least one attribute or determination of the attribute as a new attribute;
- in response to change in the at least one attribute, identifying a plurality of data models to generate an impact data for predicting impact of the change on the one or more applications wherein the plurality of data models is auto-selected based on the change;
- creating at least one script by a bot based on the plurality of data models, the change in the at least one attribute, the impact data and AI based processing logic for recommending an action/task wherein a plurality of functions of the one or more applications are re-calibrated automatically in real-time based on the recommended action/task;
- and
- in response to determination of the attribute as a new attribute, determining the one or more applications utilizing the received data from the distinct sources;
- re-calibrating or remodeling at least one data model associated with the one or more applications based on the new attribute wherein the at least one data model is re-calibrated based on predicted impact of the new attribute on the one or more applications, wherein an AI based prediction and recommendation engine is configured to recommend the action/tasks.
9 more elements
A non-transitory computer-readable storage medium coupled to one or more processors and having instructions stored thereon which, when executed by the one or more processors, cause the one or more processors to perform operations on one or more applications, the operations comprising:
- receiving, translating and extracting data related to a plurality of functions of the one or more applications by a query language (QL) tool, wherein the tool includes
- an electronic user interface configured to receive a query data from the user;
- a translator/interpreter for translating the query data into characters using natural language processing (NLP) and generating a plurality of tokens;
- a code generator configured to receive the tokens from the translator/interpreter and generating a code using a data mapper and ingestion module for creating an AI based machine learning query;
- and
- at least one data model created based on at least one attribute of the query data and the tokens;
- determine characteristic of at least one attribute of one or more of the plurality of received data wherein characteristic includes change in the at least one attribute or determination of the attribute as a new attribute;
- in response to change in the at least one attribute, identifying a plurality of data models to generate an impact data for predicting impact of the change on the one or more applications wherein the plurality of data models is auto-selected based on the change;
- creating at least one script by a bot based on the plurality of data models, the change in the at least one attribute, the impact data and AI based processing logic for recommending an action/task wherein a plurality of functions of the one or more applications are re-calibrated automatically in real-time based on the recommended action/task;
- and
- in response to determination of the attribute as a new attribute, determining the one or more applications utilizing the received data from the distinct sources;
- re-calibrating or remodeling at least one data model associated with the one or more applications based on the new attribute wherein the at least one data model is re-calibrated based on predicted impact of the new attribute on the one or more applications, wherein an AI based prediction and recommendation engine is configured to recommend the action/tasks.
9 more elements
Dependencies are inferred from the claim text.