Abstract: Systems, methods, and storage media for optimizing automated modelling of resource allocation are disclosed. Exemplary implementations include operations for: receive or retrieve by a computer system, operational information associated with a plurality of users; allocate, by the computer system, at least a first time portion to at least a first task associated with a first user of the plurality of users based on analysis of the operational information; and dynamically modify, by the computer system, the first time portion responsive to receiving or retrieving additional operational information over time.
Type:
Grant
Filed:
September 22, 2022
Date of Patent:
August 27, 2024
Assignee:
Orthogonal Networks, Inc.
Inventors:
Nicholas Arcolano, Glenn Stephen Barnett, Philip Joseph Braden, David James Gourley, Matthew Paul Klein, Andrew Man-Hon Lau, Alexander Stephen Metzger
Abstract: Systems, methods, and storage media for optimizing automated modelling of resource allocation are disclosed. Exemplary implementations include operations for: receive or retrieve by a computer system, operational information associated with a plurality of users; allocate, by the computer system, at least a first time portion to at least a first task associated with a first user of the plurality of users based on analysis of the operational information; and dynamically modify, by the computer system, the first time portion responsive to receiving or retrieving additional operational information over time.
Type:
Application
Filed:
September 22, 2022
Publication date:
March 16, 2023
Applicant:
Orthogonal Networks, Inc.
Inventors:
Nicholas Arcolano, Glenn Stephen Barnett, Philip Joseph Braden, David James Gourley, Matthew Paul Klein, Andrew Man-Hon Lau, Alexander Stephen Metzger
Abstract: Systems, methods, and storage media for optimizing automated modelling of resource allocation are disclosed. Exemplary implementations include operations for: receive or retrieve by a computer system, operational information associated with a plurality of users; allocate, by the computer system, at least a first time portion to at least a first task associated with a first user of the plurality of users based on analysis of the operational information; and dynamically modify, by the computer system, the first time portion responsive to receiving or retrieving additional operational information over time.
Type:
Grant
Filed:
August 30, 2019
Date of Patent:
November 1, 2022
Assignee:
Orthogonal Networks, Inc.
Inventors:
Nicholas Arcolano, Glenn Stephen Barnett, Philip Joseph Braden, David James Gourley, Matthew Paul Klein, Andrew Man-Hon Lau, Alexander Stephen Metzger
Abstract: Systems, methods, and storage media for optimizing automated modelling of resource allocation are disclosed. Exemplary implementations include operations for: receive or retrieve by a computer system, operational information associated with a plurality of users; allocate, by the computer system, at least a first time portion to at least a first task associated with a first user of the plurality of users based on analysis of the operational information; and dynamically modify, by the computer system, the first time portion responsive to receiving or retrieving additional operational information over time.
Type:
Application
Filed:
August 30, 2019
Publication date:
March 5, 2020
Applicant:
Orthogonal Networks, Inc.
Inventors:
Nicholas Arcolano, Glenn Stephen Barnett, Philip Joseph Braden, David James Gourley, Matthew Paul Klein, Andrew Man-Hon Lau, Alexander Stephen Metzger