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公开(公告)号:US11848828B1
公开(公告)日:2023-12-19
申请号:US17821636
申请日:2022-08-23
Inventor: Manoop Talasila , Anwar Syed Aftab , Wen-Ling Hsu , Cristian Borcea , Yi Chen , Xiaopeng Jiang , Shuai Zhao , Guy Jacobson , Rittwik Jana
Abstract: An artificial intelligence (AI) automation to improve network quality based on predicted locations is provided. A method can include training, by a first device comprising a processor and according to model configuration parameters received from a second device that is not the first device, a local machine learning model with training data derived from first location data collected by the first device; transmitting, by the first device to the second device, anonymized model features associated with the local machine learning model; in response to the transmitting of the anonymized model features, receiving, by the first device from the second device, an aggregated machine learning model; and estimating, by the first device, a future position of the first device by applying the aggregated machine learning model to second location data collected by the first device.
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公开(公告)号:US20220172219A1
公开(公告)日:2022-06-02
申请号:US17106934
申请日:2020-11-30
Applicant: AT&T Intellectual Property I, L.P.
Inventor: Wen-Ling Hsu , Guang-Qin Ma , Guy Jacobson , Jenq-Chyuan Wang , Tan Xu , Kevin McDorman , Brian Economaki , Shuai Zhao
Abstract: A method, computer-readable medium, and apparatus for providing customer care for customers are disclosed. Customer care may be provided for customers by obtaining customer care contact information for a plurality of customers where the customer care contact information includes, for each of a plurality of customers, respective customer care contact data that is based on a sequence of customer care contacts by the customer with one or more customer care agents, determining customer care contact embedding information for the plurality of customers, clustering the customer care contact embedding information for the plurality of customers to form customer care contact clusters, determining customer care contact cluster characterization information for the customer care contact clusters, selecting, from the plurality of customers based on the customer care contact cluster characterization information for the customer care contact clusters, a set of customers, and initiating a customer care action for the set of customers.
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