公开(公告)号：US20230252178A1

公开(公告)日：2023-08-10

申请号：US17650584

申请日：2022-02-10

Applicant: MOTOROLA SOLUTIONS, INC.

Inventor： Charles R. Ruelke ,  Abhaykumar Kumbhar ,  Peter H. Mills ,  Niyanka D. Patel

IPC: G06F21/62 ,  G06F16/2452 ,  G06F16/28

CPC classification number: G06F21/6227 ,  G06F16/2452 ,  G06F16/285 ,  G06F21/6245

Abstract: Methods and systems for generating a response to a query using an AI engine. One method includes translating a received query into a profile comprised of at least a query type and a priority. The method further includes collecting, based on the profile, a first set of data items from a first data file storing data categorized as general public data and a second set of data items from a second data file storing data categorized as personal private information and applying an AI correlation engine to the second set of data items to determine PPI-agnostic relevancy indicators for PPI included in the second set of data items. The method further includes masking, based on the query cluster profile, the second set of data items by replacing the PPI included in the second set of data items with the PPI-agnostic relevancy indicators.

公开(公告)号：US11763022B2

公开(公告)日：2023-09-19

申请号：US17650584

申请日：2022-02-10

Applicant: MOTOROLA SOLUTIONS, INC.

Inventor： Charles R. Ruelke ,  Abhaykumar Kumbhar ,  Peter H. Mills ,  Niyanka D. Patel

IPC: G06F21/62 ,  G06F16/28 ,  G06F16/2452

CPC classification number: G06F21/6227 ,  G06F16/2452 ,  G06F16/285 ,  G06F21/6245

Abstract: Methods and systems for generating a response to a query using an AI engine. One method includes translating a received query into a profile comprised of at least a query type and a priority. The method further includes collecting, based on the profile, a first set of data items from a first data file storing data categorized as general public data and a second set of data items from a second data file storing data categorized as personal private information and applying an AI correlation engine to the second set of data items to determine PPI-agnostic relevancy indicators for PPI included in the second set of data items. The method further includes masking, based on the query cluster profile, the second set of data items by replacing the PPI included in the second set of data items with the PPI-agnostic relevancy indicators.