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US 11,687,617 B2Granted
Self-driven system and method for operating enterprise and supply chain applications
AssigneeNB Ventures, Inc.
InventorsSubhash Makhija, Santosh Ganesh Dattatraya Bhat, Huzaifa S Matawala
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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.
Claims34
A method for operating one or more applications, comprising:
- receiving from distinct sources a plurality of data in a data lake;
- determining a characteristic of at least one attribute of one or more of the plurality of received data, wherein the characteristic includes a change in the at least one attribute or a determination of the at least one attribute as a new attribute;
- and
- in response to the 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, and 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 the determination of the at least one attribute as a new attribute, determining the one or more applications utilizing the received data from the distinct sources, recalibrating or remodeling the plurality of data models associated with the one or more applications based on the new attribute, wherein the plurality of data models is re-calibrated based on a 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.
3 more elements
A self-driven system for operating one or more applications, the system comprises:
- a data lake configured to store a plurality of data from distinct sources in real-time;
- a control tower configured for controlling a plurality of functions associated with the one or more applications, wherein the control tower determines a characteristic of at least one attribute of one or more of the plurality of received data, wherein the characteristic includes change in the at least one attribute or determination of the attribute as a new attribute;
- a controller encoded with instructions enabling the controller to function as a bot to generate a plurality of data models created for performing the plurality of functions by utilizing a library of functions stored on a functional database of the data lake;
- an AI based prediction and recommendation engine coupled to a processor configured for processing at least one prediction algorithm to generate at least one recommendation option in real time, wherein a bot creates at least one script based on the plurality of data models, the change in the at least one attribute, an impact 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;
- and
- a data curator engine configured to collect data from the distinct sources and act as a gateway to identify the at least one data attribute from the received data that is to be extracted as assessed from one or more applications.
3 more elements
Dependencies are inferred from the claim text.