Patent · US Active

Automated data integration, reconciliation, and self healing using machine learning

US11379500B2 · kind B2 · utility

0Cited by

2References

14Claims

0Family size

Assignee

SAP SE · DE

Inventors

Apoorv Bhargava · Bengaluru, IN
Daniel E. Zimmermann · Peoria, US
Markus Goeppert · Aalen, DE
Syed Aleemuddin Noor · Bengaluru, IN
Gowthami Agumamidi · Kanchinakote, IN

Key dates

Filing date	May 20, 2020
Grant date	Jul 5, 2022
Priority date	—
Expiry date	Dec 18, 2040

Classification

Technology area (CPC G)Physics
CPC primaryG06N20/00
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

Technologies are described for performing automated data integration, reconciliation, and/or self-healing using machine learning. For example, data integration can be checked using a reconciliation procedure. The number of times that the reconciliation is performed can be determined dynamically by a machine learning model. For each iteration, reconciliation can be performed to check integrated data against source data. If any reconciliation errors are found, then self-healing operations can be performed. Results of the reconciliation can be output. The reconciliation results can be used to update the machine learning model so that the machine learning model can dynamically adjust the number of iterations to perform based at least in part on reconciliation results.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.