Invention Grant
- Patent Title: Artificial intelligence-based use case model recommendation methods and systems
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Application No.: US17711880Application Date: 2022-04-01
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Publication No.: US11720846B2Publication Date: 2023-08-08
- Inventor: Sastry Vsm Durvasula , Rares Almasan , Neema Uthappa , Sriram Venkatesan , Sayan Chowdhury
- Applicant: MCKINSEY & COMPANY, INC.
- Applicant Address: US NY New York
- Assignee: MCKINSEY & COMPANY, INC.
- Current Assignee: MCKINSEY & COMPANY, INC.
- Current Assignee Address: US NY New York
- Agency: Marshall, Gerstein & Borun LLP
- Agent Randall G. Rueth
- Priority: IN 2121056829 2021.12.07
- Main IPC: G06N5/022
- IPC: G06N5/022 ; G06Q10/0639 ; G06Q10/067 ; G06Q10/0637

Abstract:
A method includes receiving a plurality of user use cases; analyzing the use cases using an AI engine to order the use cases; generating an optimized machine learning model; and causing an optimized deployment option to be displayed. A computing system includes a processor; and a memory comprising instructions, that when executed, cause the computing system to: receive a plurality of user use cases; analyze the use cases using an AI engine to order the use cases; generate an optimized machine learning model; and cause an optimized deployment option to be displayed. A non-transitory computer-readable storage medium stores executable instructions that, when executed by a processor, cause a computer to: receive a plurality of user use cases; analyze the use cases using an AI engine to order the use cases; generate an optimized machine learning model; and cause an optimized deployment option to be displayed.
Public/Granted literature
- US20230177441A1 ARTIFICIAL INTELLIGENCE-BASED USE CASE MODEL RECOMMENDATION METHODS AND SYSTEMS Public/Granted day:2023-06-08
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