公开(公告)号：US20220277228A1

公开(公告)日：2022-09-01

申请号：US17683332

申请日：2022-02-28

Applicant: Verint Americas Inc.

Inventor： James Nies ,  Matthew Pyke ,  Paul Gorman ,  Ash Sood ,  Neil Eades ,  Grant Anderson ,  Alastair Grant

IPC: G06N20/00

Abstract: An artificial intelligence (AI) application uses an external machine learning component from a different computing environment to develop context data for use by the AI application. The context data includes raw data outputs from the external machine learning component. An active machine learning component is executed with the context data and provides a suggested next step to a computer to implement as an automated output. A feedback loop adds the suggested next step from the active machine learning component to the context data and forms an augmented data set for providing context to the AI application. A context component selects a rule from a rules engine that corresponds to the augmented data set. The computer implements an automated output according to the rule that was selected.