Invention Grant
- Patent Title: Obtaining inferences to perform access requests at a non-relational database system
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Application No.: US18342569Application Date: 2023-06-27
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Publication No.: US12287785B2Publication Date: 2025-04-29
- Inventor: Akshat Vig , Amit Gupta , Palak Agrawal , Amit Purohit , Benjamin Donald Wood
- Applicant: Amazon Technologies, Inc.
- Applicant Address: US WA Seattle
- Assignee: Amazon Technologies, Inc.
- Current Assignee: Amazon Technologies, Inc.
- Current Assignee Address: US WA Seattle
- Agency: Kowert, Hood, Munyon, Rankin & Goetzel, P.C.
- Agent S. Scott Foster
- Main IPC: G06F16/2453
- IPC: G06F16/2453 ; G06F16/2455 ; G06F16/25 ; G06N5/04 ; G06N20/00

Abstract:
Inferences may be obtained to handle access requests at a non-relational database system. An access request may be received at a non-relational database system. The non-relational database system may determine that the access request uses a machine learning model to complete the access request. The non-relational database system may cause an inference to be generated using data items for the access request as input to the machine learning model. The access request may be completed using the generated inference.
Public/Granted literature
- US20230334046A1 OBTAINING INFERENCES TO PERFORM ACCESS REQUESTS AT A NON-RELATIONAL DATABASE SYSTEM Public/Granted day:2023-10-19
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