公开(公告)号：US12141666B2

公开(公告)日：2024-11-12

申请号：US17517175

申请日：2021-11-02

Applicant: State Farm Mutual Automobile Insurance Company

Inventor： Sambasiva R. Murakonda ,  Theodore Edward Dorner

IPC: G06F17/00 ,  G06F3/0482 ,  G06F3/04847 ,  G06F40/169 ,  G06N5/04 ,  G06N20/00

Abstract: A data pipeline tool provides a machine-learning design interface that a user can utilize (e.g., via an electronic device such as a personal computer, tablet, or smart phone) to design or configure data pipelines or workflows defining the manner in which ML models are developed, trained, tested, validated, or deployed. Once deployed, a designed ML model may generate predictive results based on input data fed to the ML model. The tool may present the predictive results via a GUI, and may enable a user to mark-up or otherwise interact with those predictive results. The tool may enable the user to share the results (which may include a mark-up or annotation provided by a user).

公开(公告)号：US20250068978A1

公开(公告)日：2025-02-27

申请号：US18941229

申请日：2024-11-08

Applicant: State Farm Mutual Automobile Insurance Company

Inventor： Sambasiva R. Murakonda ,  Theodore Edward Dorner

IPC: G06N20/00 ,  G06F3/0482 ,  G06F3/04847 ,  G06F40/169 ,  G06N5/04

Abstract: A data pipeline tool provides a machine-learning design interface that a user can utilize (e.g., via an electronic device such as a personal computer, tablet, or smart phone) to design or configure data pipelines or workflows defining the manner in which ML models are developed, trained, tested, validated, or deployed. Once deployed, a designed ML model may generate predictive results based on input data fed to the ML model. The tool may present the predictive results via a GUI, and may enable a user to mark-up or otherwise interact with those predictive results. The tool may enable the user to share the results (which may include a mark-up or annotation provided by a user).

公开(公告)号：US11182697B1

公开(公告)日：2021-11-23

申请号：US16403092

申请日：2019-05-03

Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

Inventor： Sambasiva R. Murakonda ,  Theodore Edward Dorner

IPC: G06F17/00 ,  G06N20/00 ,  G06N5/04 ,  G06F3/0484 ,  G06F3/0482 ,  G06F40/169

Abstract: A data pipeline tool provides a machine-learning design interface that a user can utilize (e.g., via an electronic device such as a personal computer, tablet, or smart phone) to design or configure data pipelines or workflows defining the manner in which ML models are developed, trained, tested, validated, or deployed. Once deployed, a designed ML model may generate predictive results based on input data fed to the ML model. The tool may present the predictive results via a GUI, and may enable a user to mark-up or otherwise interact with those predictive results. The tool may enable the user to share the results (which may include a mark-up or annotation provided by a user).

公开(公告)号：US20220351083A1

公开(公告)日：2022-11-03

申请号：US17867101

申请日：2022-07-18

Applicant: State Farm Mutual Automobile Insurance Company

Inventor： Sambasiva R. Murakonda ,  Theodore Edward Dorner

IPC: G06N20/00 ,  G06F3/04817

Abstract: A data pipeline tool provides a machine-learning design interface that a user can utilize (e.g., via an electronic device such as a personal computer, tablet, or smart phone) to design or configure data pipelines or workflows defining the manner in which ML models are developed, trained, tested, validated, or deployed. Once deployed, a designed ML model may generate predictive results based on input data fed to the ML model. The tool may present the predictive results via a GUI, and may enable a user to mark-up or otherwise interact with those predictive results. The tool may enable the user to share the results (which may include a mark-up or annotation provided by a user).

公开(公告)号：US20220058528A1

公开(公告)日：2022-02-24

申请号：US17517175

申请日：2021-11-02

Applicant: State Farm Mutual Automobile Insurance Company

Inventor： Sambasiva R. Murakonda ,  Theodore Edward Dorner

IPC: G06N20/00 ,  G06F3/0484 ,  G06F40/169 ,  G06F3/0482 ,  G06N5/04

Abstract: A data pipeline tool provides a machine-learning design interface that a user can utilize (e.g., via an electronic device such as a personal computer, tablet, or smart phone) to design or configure data pipelines or workflows defining the manner in which ML models are developed, trained, tested, validated, or deployed. Once deployed, a designed ML model may generate predictive results based on input data fed to the ML model. The tool may present the predictive results via a GUI, and may enable a user to mark-up or otherwise interact with those predictive results. The tool may enable the user to share the results (which may include a mark-up or annotation provided by a user).