Invention Grant
- Patent Title: Data feed meta detail categorization for confidence
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Application No.: US17334646Application Date: 2021-05-28
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Publication No.: US12056112B2Publication Date: 2024-08-06
- Inventor: Matthew Kristofer Bryant , Colin Murphy , Dustin Stocks
- Applicant: Bank of America Corporation
- Applicant Address: US NC Charlotte
- Assignee: Bank of America Corporation
- Current Assignee: Bank of America Corporation
- Current Assignee Address: US NC Charlotte
- Agency: Banner & Witcoff, Ltd.
- Main IPC: G06F16/23
- IPC: G06F16/23 ; G06F16/215 ; G06F16/28 ; G06N20/00 ; G06F16/21

Abstract:
Aspects of the disclosure relate to data feed meta detail categorization for confidence. A computing platform may retrieve source data from a source system and identify a first set of patterns associated with the source data. The computing platform may retrieve, from a target system, partially transferred data associated with an ongoing data transfer from the source to the target system and identify a second set of patterns associated with the partially transferred data. The computing platform may evaluate integrity of the partially transferred data by comparing the first set of patterns with the second set of patterns. The computing platform may detect whether the first set of patterns falls within an expected deviation from the second set of patterns based on the comparison and halt the ongoing data transfer based on detecting that the first set of patterns falls outside the expected deviation from the second set of patterns.
Public/Granted literature
- US20220382737A1 Data Feed Meta Detail Categorization for Confidence Public/Granted day:2022-12-01
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