公开(公告)号：US20230099502A1

公开(公告)日：2023-03-30

申请号：US17486770

申请日：2021-09-27

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Jeremy Fix ,  Cuong Vo ,  Eric Zavesky ,  Abhay Dabholkar ,  Rudolph Mappus ,  James Pratt

IPC: G06N5/02

Abstract: A method performed by a processing system including at least one processor includes monitoring interactions of a human user with a platform for building machine learning models, where the human user is using the platform to build a new machine learning model, detecting, within the interactions, an event that triggers a suggestion feature, performing a search of a data source for existing data from existing machine learning models which can be reused to build the new machine learning model, using information about the event, presenting a suggestion to the human user to reuse a portion of the existing data discovered in the search in the new machine learning model, receiving a user feedback in response to the suggestion, and generating an updated suggestion in response to the user feedback.

公开(公告)号：US20230101955A1

公开(公告)日：2023-03-30

申请号：US17486798

申请日：2021-09-27

Applicant: AT&T Intellectual Property I, L.P.

Inventor： Cuong Vo ,  Jeremy Fix ,  Jeffrey Dix ,  Eric Zavesky ,  Abhay Dabholkar ,  Rudolph Mappus ,  James Pratt

IPC: G06N20/00 ,  G06K9/62

Abstract: A method performed by a processing system including at least one processor includes defining a proposal for a proposed machine learning model, identifying an existing machine learning model, where the existing machine learning model shares a similarity with the proposed machine learning model, evaluating a fitness of the existing machine learning model for reuse in building the proposed machine learning model, building a new machine learning model that is consistent with the proposal for the proposed machine learning model by reusing a portion of the existing machine learning model, and monitoring a performance of the new machine learning model in a deployment environment.

公开(公告)号：US20230214711A1

公开(公告)日：2023-07-06

申请号：US17646708

申请日：2021-12-31

Applicant: AT&T INTELLECTUAL PROPERTY I, L.P.

Inventor： Prince Paulraj ,  Christopher Kim ,  Eric Zavesky ,  Prathiba Sugumaran ,  James Pratt ,  Cuong Vo

IPC: G06N20/00 ,  G06F8/36 ,  G06F8/71 ,  G06F21/60

CPC classification number: G06N20/00 ,  G06F8/36 ,  G06F8/71 ,  G06F21/60

Abstract: A method performed by a processing system including at least one processor includes detecting that new data has been added to a repository of reusable machine learning models and machine learning model features, applying data protection to the new data, testing the new data for bias, merging at least a portion of the new data with stored data from the repository to build a new machine learning model in which the data protection is preserved, and publishing the new machine learning model in the repository.