Applying machine learning to heterogeneous data of existing services to generate a new service

US10404549B2 · kind B2 · utility

Assignee

• AT&T Intellectual Property I, L.P. · US

Inventors

• Raghuraman Gopalan · Dublin, US
• Lee Begeja · Gillette, US
• David Crawford Gibbon · Lincroft, US
• Zhu Liu · Marlboro, US
• Yadong Mu · Beijing, CN
• Bernard S. Renger · New Providence, US
• Behzad Shahraray · Holmdel, US
• Eric Zavesky · Austin, US

Key dates

• Filing date: Jul 28, 2016
• Grant date: Sep 3, 2019
• Expiry date: Nov 15, 2036

Classification

• Technology area (CPC H): Electricity
• CPC primary: H04L63/20
• WIPO field: Digital communication
• WIPO sector: Electrical engineering

Abstract

A method, computer-readable medium, and apparatus for modeling data of a plurality of services for providing a new service are disclosed. For example, a method may include a processor for generating a first policy from a first service by a first policy model using machine learning for processing first data of the first service, generating a second policy from a second service by a second policy model using machine learning for processing second data of the second service, wherein the first service and the second service are different, and implementing one or more functions for a new service using the first policy and the second policy.