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:
Nov. 15, 2022

Filed:

Aug. 04, 2020
Applicant:

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

Inventors:

Pranshu Tiwari, Delhi, IN;

Harish Bharti, Pune, IN;

Pradeep Dash, Columbus, OH (US);

Santosh Patil, Irving, TX (US);

Swarnalata Patel, Bangalore, IN;

Saurabh Trehan, Delhi, IN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06Q 10/00 (2012.01); G06Q 10/06 (2012.01); G06F 16/28 (2019.01); G06N 5/02 (2006.01); G06Q 30/00 (2012.01); G06Q 10/10 (2012.01);
U.S. Cl.
CPC ...
G06Q 10/06375 (2013.01); G06F 16/288 (2019.01); G06N 5/02 (2013.01); G06Q 10/063112 (2013.01); G06Q 10/105 (2013.01); G06Q 30/016 (2013.01);
Abstract

A method, system, and computer program product for predicting optimal service characteristics to execute predicted IT tickets. The method may include identifying deployment characteristics for an operational system based on an architecture of the operational system. The method may also include receiving implementation data in response to past incident tickets based on the deployment characteristics. The method may also include identifying relationships within the implementation data. The method may also include predicting a volume of new tickets based on the implementation data and the relationships between the implementation data. The method may also include predicting a resolution time for high severity tickets in the volume of new tickets. The method may also include determining preferred service characteristics based on the volume of the new tickets and the resolution time for the high severity tickets. The method may also include transmitting a recommendation comprising the preferred service characteristics.


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