A method comprising obtaining, from a master user, a device usage allocation applicable to two or more devices, the two or more devices being associated with another user, the another user being different from the master user, obtaining an aggregate measure of device usage associated with the two or more devices, if the aggregate measure of device usage associated with the two or more devices satisfies a condition relative to the device usage allocation, managing an activity of the two or more devices, and sending a notification to at least one of the two or more devices, the notification for presentation to the another user through a user interface of the at least one of the two or more devices.

A technique involves modular storage of network service plan components and provisioning of same. A subset of the capabilities of a service design system can be granted to a sandbox system to enable customization of service plan offerings or other controls.

Device Assisted Services (DAS) for protecting network capacity is provided. In some embodiments, DAS for protecting network capacity includes monitoring a network service usage activity of the communications device in network communication; classifying the network service usage activity for differential network access control for protecting network capacity; and associating the network service usage activity with a network service usage control policy based on a classification of the network service usage activity to facilitate differential network access control for protecting network capacity.

A method comprising obtaining, from a master user, a device usage allocation applicable to two or more devices, the two or more devices being associated with another user, the another user being different from the master user, obtaining an aggregate measure of device usage associated with the two or more devices, if the aggregate measure of device usage associated with the two or more devices satisfies a condition relative to the device usage allocation, managing an activity of the two or more devices, and sending a notification to at least one of the two or more devices, the notification for presentation to the another user through a user interface of the at least one of the two or more devices.

A network element of an Internet Protocol multimedia subsystem buffers network resource usage information in the cloud. After generating network resource usage information based on an observation of network resource usage, the network element transmits the network resource usage information to a cloud-based storage service for buffering. Once a network resource usage collection function is available, the network element retrieves the network resource usage information from the cloud-based storage service and transmits it to a charging collection function for generation of call detail records.

Device group partitions and a settlement platform are provided. In some embodiments, device group partitions (e.g., partitions of devices based on associated device groups) are provided. In some embodiments, a settlement platform service is provided. In some embodiments, a settlement platform service is provided for partitioned devices. In some embodiments, collecting device generated service usage information for one or more devices in wireless communication on a wireless network; and aggregating the device generated service usage information for a settlement platform for the one or more devices in wireless communication on the wireless network is provided. In some embodiments, a settlement platform implements a service billing allocation and/or a service/transactional revenue share among one or more partners. In some embodiments, service usage information includes micro-CDRs, which are used for CDR mediation or reconciliation that provides for service usage accounting on any device activity that is desired. In some embodiments, each device activity that is desired to be associated with a billing event is assigned a micro-CDR transaction code, and a service processor of the device is programmed to account for that activity associated with that transaction code. In some embodiments, a service processor executing on a wireless communications device periodically reports (e.g., during each heartbeat or based on any other periodic, push, and/or pull communication technique(s)) micro-CDR usage measures to, for example, a service controller or some other network element for CDR mediation or reconciliation.

Disclosed here is a method to determine a user intent when a user device initiates an interactive voice response (IVR) call with a wireless telecommunication network. A processor can detect the IVR call initiated with the network and determine whether the user device is a member of the network. Upon determining that the user device is a member of the network, the processor can obtain user history including interaction history between the user and the network. Based on the user history, the processor can predict the user intent when the user initiates the IVR call. The processor can detect whether user device is a 5G capable device. Upon the determining that the device is 5G capable and based on the predicted user intent, the processor can suggest to the user an application configured to execute on the user device and configured to address the predicted user intent.

The present disclosure relates to determining the shareability of values of node profiles. Record objects and electronic activities of a system of record corresponding to a data source provider may be accessed. Each record object may correspond to a record object type and have one or more object field-value pairs. Node profiles may be maintained. Values of fields corresponding to a predetermined type of field including fewer than a predetermined threshold number of data source providers may be identified. A restriction tag used to restrict populating other node profiles may be generated. Provision of the value with a second data source provider may be restricted.

As described herein, a machine learning system, method, and computer program are provided for making payment related customer predictions using remotely sourced data. A system of a communication service provider (CSP) identifies a customer of the CSP. Additionally, the system collects data from a plurality of data sources independent from the CSP, the data including telephone numbers and/or webpage URLs of other services providers that are associated with making payments. Further, the system processes the collected data to form input data indicating which of the telephone numbers were contacted by the customer and/or webpage URLs were accessed by the customer. Still yet, the system processes the input data using at least one machine learning algorithm to make at least one payment related prediction for the customer. Moreover, the system outputs the at least one payment related prediction made for the customer.

Security techniques for device assisted services are provided. In some embodiments, secure service measurement and/or control execution partition is provided. In some embodiments, implementing a service profile executed at least in part in a secure execution environment of a processor of a communications device for assisting control of the communications device use of a service on a wireless network, in which the service profile includes a plurality of service policy settings, and wherein the service profile is associated with a service plan that provides for access to the service on the wireless network; monitoring use of the service based on the service profile; and verifying the use of the service based on the monitored use of the service.