公开(公告)号：US11562311B2

公开(公告)日：2023-01-24

申请号：US16243743

申请日：2019-01-09

Applicant: NICE LTD.

Inventor： Ariel Smutko ,  Aviv Yehezkel ,  Eran Roseberg ,  Yaron Moshe Bialy

IPC: G06Q10/06 ,  G06N20/00 ,  G06F9/445 ,  G06F9/54 ,  G06N5/04

Abstract: A system is provided for an artificial intelligence engine adapted to identify robotic process automation' opportunities based on return on investment (ROI) potential for automation. The system includes a processor and a computer readable medium configured to perform operations comprising receiving an event log of a plurality of user actions, splitting the plurality of user actions into a plurality of user action sentences, determining a sequence of user actions in the plurality of user action sentences based on a recurrence for the sequence in the plurality of user action sentences, determining a score for the sequence based on a time duration in which the user completes the sequence and based on types of the plurality of user actions in the sequence, and filtering the sequence with a plurality of other sequences.

公开(公告)号：US11763228B2

公开(公告)日：2023-09-19

申请号：US17223537

申请日：2021-04-06

Applicant: Nice Ltd.

Inventor： Yaron Moshe Bialy ,  Yuval Shachaf ,  Eran Roseberg

IPC: G06Q10/0631 ,  G06Q10/0639 ,  G06Q10/0633 ,  G06V10/75

CPC classification number: G06Q10/06316 ,  G06Q10/0633 ,  G06Q10/0639 ,  G06V10/7557

Abstract: A method and system for analyzing and connecting computer-based actions into sentences may include for a series of computer-based actions, determining the case ID for the action for each action where an identifier or case ID can be determined, creating sequences of subsets of the series of computer-based actions using the case ID, and merging sequences having computer-based actions having the same case ID. A set of case IDs may be extracted from the actions using a clustering algorithm based on features of potential case IDs such as gaps in appearance of potential case IDs in a sequence of actions and consecutive appearances of potential case IDs in a sequence of actions. The extracted case IDs may be used when creating sequences.

公开(公告)号：US11768845B2

公开(公告)日：2023-09-26

申请号：US17496624

申请日：2021-10-07

Applicant: Nice Ltd.

Inventor： Eran Roseberg ,  Yaron Moshe Bialy ,  Yuval Shachaf

IPC: G06F16/2458

CPC classification number: G06F16/2465

Abstract: A method and system for dynamically determining a minimum support for automation mining is provided. The method and system include modifying the minimum support pattern such that the minimum support can result pattern mining algorithms finding a sufficient number of patterns in a practical duration.

公开(公告)号：US11748682B2

公开(公告)日：2023-09-05

申请号：US17559524

申请日：2021-12-22

Applicant: NICE Ltd.

Inventor： Ariel Smutko ,  Aviv Yehezkel ,  Eran Roseberg ,  Yaron Moshe Bialy

IPC: G06Q10/06 ,  G06Q10/0633 ,  G06Q10/10 ,  G06Q10/0631 ,  H04M3/51

CPC classification number: G06Q10/0633 ,  G06Q10/063114 ,  G06Q10/103 ,  H04M3/5175

Abstract: A system and method analyzes computer actions to identify computer-based processes (e.g. computer-user interactions) which are automation candidates. A data gathering process executed by a processor on a computer may collect low-level user action information or items, each low-level user action information or item including for example an input type description, a user name, and screen window information. At a computer sequential pattern mining may be applied to determine a set of subprocesses, each subprocess including a series of low-level user actions, each user action associated with a user action vector, and each subprocess associated with a subprocess vector generated from user action vectors associated with (typically generalized) low-level user actions comprised in the subprocess. The subprocess vectors may be grouped or clustered to create processes. For each process, an automation score may be calculated using the actions in the subprocesses in the process.

公开(公告)号：US11270241B2

公开(公告)日：2022-03-08

申请号：US16440287

申请日：2019-06-13

Applicant: NICE LTD.

Inventor： Ariel Smutko ,  Aviv Yehezkel ,  Eran Roseberg ,  Yaron Moshe Bialy

IPC: G06Q10/06 ,  G06Q10/10 ,  H04M3/51

Abstract: A system and method analyzes computer actions to identify computer-based processes (e.g. computer-user interactions) which are automation candidates. A data gathering process executed by a processor on a computer may collect low-level user action information or items, each low-level user action information or item including for example an input type description, a user name, and screen window information. At a computer sequential pattern mining may be applied to determine a set of subprocesses, each subprocess including a series of low-level user actions, each user action associated with a user action vector, and each subprocess associated with a subprocess vector generated from user action vectors associated with (typically generalized) low-level user actions comprised in the subprocess. The subprocess vectors may be grouped or clustered to create processes. For each process, an automation score may be calculated using the actions in the subprocesses in the process.