Systems, methods, apparatuses, and computer program products for policy control for broadcast sessions. One method may include receiving, by a multicast/broadcast session management function, at least one broadcast session creation request comprising at least one broadcast session indication associated with at least one policy control function. The multicast/broadcast session management function may receive at least one policy update from the at least one policy control function, and transmit at least one resource allocation request associated with at least one broadcast session transmission to at least one application management function.

An information processing system includes: an image display apparatus provided in a space and configured to display an image; a sensor apparatus carried by a user who is present in the space and configured to output a signal for detecting position information of the user in the space; and an information processing apparatus. The information processing apparatus includes circuitry configured to store a plurality of pieces of position information of a plurality of users including the user, who are in present in the space, in association with the plurality of users, the plurality of users being detected based on signals output from a plurality of sensor apparatuses including the sensor apparatus, and control environment effect production that supports communication between the plurality of users by the image displayed by the image display apparatus, based on each of the plurality of pieces of position information of the plurality of users.

A multi-tenant media processing platform system and method. At least a first media analysis service of a plurality of media analysis services is activated for at least a portion of an active communication session of an entity in the platform system. The first activated media analysis service performs a first media analysis on media of the active communication session that is collected by the platform system. The first activated media analysis service performs the first media analysis on the collected media while the communication session is active to generate a first media analysis result. During the active communication session, at least one media analysis result is applied.

A multi-tenant media processing platform system and method. At least a first media analysis service of a plurality of media analysis services is activated for at least a portion of an active communication session of an entity in the platform system. The first activated media analysis service performs a first media analysis on media of the active communication session that is collected by the platform system. The first activated media analysis service performs the first media analysis on the collected media while the communication session is active to generate a first media analysis result. During the active communication session, at least one media analysis result is applied.

A multi-tenant media processing platform system and method. At least a first media analysis service of a plurality of media analysis services is activated for at least a portion of an active communication session of an entity in the platform system. The first activated media analysis service performs a first media analysis on media of the active communication session that is collected by the platform system. The first activated media analysis service performs the first media analysis on the collected media while the communication session is active to generate a first media analysis result. During the active communication session, at least one media analysis result is applied.

The disclosed system identifies and resolves telecommunication network problems and/or problems with devices utilizing the network. The system segments the user devices into groups having similar characteristics, by grouping together devices more likely to leave the network, and devices less likely to leave the network. Each group of devices has a trained machine learning model, to predict the NEX score for each device. The system focuses on devices with a low NEX score. The system determines whether the problem is with the network and/or the problem is with the device. The system gathers information from network monitoring software and determine which tower caused, for example, the call to drop. The system determines technological capability of the device from the device TAC number. The system suggests solutions to the network problems by suggesting adding a sector, tuning an antenna, etc., or if the device has problems, adjusting phone settings.

The disclosed system identifies and resolves telecommunication network problems and/or problems with devices utilizing the network. The system segments the user devices into groups having similar characteristics, by grouping together devices more likely to leave the network, and devices less likely to leave the network. Each group of devices has a trained machine learning model, to predict the NEX score for each device. The system focuses on devices with a low NEX score. The system determines whether the problem is with the network and/or the problem is with the device. The system gathers information from network monitoring software and determine which tower caused, for example, the call to drop. The system determines technological capability of the device from the device TAC number. The system suggests solutions to the network problems by suggesting adding a sector, tuning an antenna, etc., or if the device has problems, adjusting phone settings.

The disclosed system identifies and resolves telecommunication network problems and/or problems with devices utilizing the network. The system segments the user devices into groups having similar characteristics, by grouping together devices more likely to leave the network, and devices less likely to leave the network. Each group of devices has a trained machine learning model, to predict the NEX score for each device. The system focuses on devices with a low NEX score. The system determines whether the problem is with the network and/or the problem is with the device. The system gathers information from network monitoring software and determine which tower caused, for example, the call to drop. The system determines technological capability of the device from the device TAC number. The system suggests solutions to the network problems by suggesting adding a sector, tuning an antenna, etc., or if the device has problems, adjusting phone settings.

Embodiments of this application disclose a charging policy obtaining method and apparatus. The charging policy obtaining method may be used in a broadband network gateway, and specifically includes the following steps: receiving an authentication, authorization, and accounting request from user equipment, where the authentication, authorization, and accounting request includes a user name and a user equipment identifier; sending a charging policy request to a first server, where the charging policy request includes a first field and a second field, the first field is used to carry the user name, and the second field is used to carry the user equipment identifier; and receiving a charging policy response sent by the first server, where the charging policy response includes a charging policy corresponding to the user name and the user equipment identifier, and obtaining the charging policy from the charging policy response.

The disclosed system identifies and resolves telecommunication network problems and/or problems with devices utilizing the network. The system segments the user devices into groups having similar characteristics, by grouping together devices more likely to leave the network, and devices less likely to leave the network. Each group of devices has a trained machine learning model, to predict the NEX score for each device. The system focuses on devices with a low NEX score. The system determines whether the problem is with the network and/or the problem is with the device. The system gathers information from network monitoring software and determine which tower caused, for example, the call to drop. The system determines technological capability of the device from the device TAC number. The system suggests solutions to the network problems by suggesting adding a sector, tuning an antenna, etc., or if the device has problems, adjusting phone settings.