The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Mar. 26, 2024

Filed:

Nov. 20, 2020
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Jatin Ganhotra, White Plains, NY (US);

Sachindra Joshi, Gurgaon, IN;

Nathaniel Mills, Coventry, CT (US);

Luis A. Lastras-Montano, Cortlandt Manor, NY (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 11/34 (2006.01); G06F 9/451 (2018.01); G06F 9/54 (2006.01); G06F 11/30 (2006.01); G06F 40/00 (2020.01); G06F 40/216 (2020.01); G06N 5/025 (2023.01); G06Q 10/0631 (2023.01); G06Q 10/0633 (2023.01);
U.S. Cl.
CPC ...
G06F 9/451 (2018.02); G06F 9/542 (2013.01); G06F 11/302 (2013.01); G06F 11/3438 (2013.01); G06F 40/00 (2020.01); G06F 40/216 (2020.01); G06N 5/025 (2013.01); G06Q 10/06316 (2013.01); G06Q 10/0633 (2013.01);
Abstract

Embodiments herein describe an automated process for identifying tasks that can be converted from primarily being driven by a human agent into bot-driven RPAs. This disclosure describes techniques for automatically generating RPAs by monitoring the actions of the agent and identifying corresponding events. These events can be performed on unstructured data sources and structured data sources. The events are clustered into different tasks where pattern detection techniques are used to identify common (or overlapping) events and causal relationships between the events. Using these causal relationships, the system can map events performed on unstructured data sources to events performed on structured data source. The system can then generate respective bot-RPAs for the tasks. The system can monitor, in real-time, data received from unstructured and/or structured data sources and when it identifies data for one of the bot-RPAs, automatically execute the RPA to perform the task.


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