Abstract: The system receives an indication of a sensitive operation. The system obtains a unique ID of a user's UE. Based on the unique ID of the UE, the system retrieves a visual authentication method including a visual ID. The system records the visual ID, and retrieves a corresponding stored visual ID. The system performs a liveness check associated with the visual ID, to determine whether the visual ID is a recording or a live version of the visual ID. Upon determining that the visual ID is the recording, the system refuses to authenticate the user. Upon determining that the visual ID is the live version of the visual ID, the system compares the visual ID and the corresponding stored visual ID to determine whether the visual ID and the corresponding stored visual ID match. Upon determining that the visual ID and the corresponding stored visual ID match, the system authenticates the user.

Abstract: Techniques are described herein for authenticating a subscriber when activating user equipment and monitoring user equipment state. During the activation process, one or more using unique authentication questions can be presented to the subscriber in a customer validation screen. Individual subscribers can compose the authentication questions and corresponding answers during purchase such that the purchase order includes at least one device identifier corresponding to the user equipment associated with a purchase order. Upon authentication, one or more functionalities or features of the user equipment can be enabled. Additionally, billing and provisioning systems can be implemented as well as real-time or near real-time subscriber identity module (SIM) provisioning. The status of the user equipment can be transmitted to a telecommunications network provided by a telecommunications service provider on a scheduled basis in order to monitor the user equipment state and compliance.

Abstract: Decreasing the time to resolution of trouble tickets and preemptively resolving potential network issues using a predictive customer care support framework communicatively coupled to a telecommunications service provider via a network is described. Techniques described herein include preprocessing ticket data associated with a trouble ticket corresponding to a subscriber using a decision engine that can implement a decision tree scheme to automatically identify appropriate data sources from which relevant data can be routed to the decision engine in a bundled format. The techniques further include detecting potential network issues not yet reported by subscribers using an analytical engine to identify a root cause for the potential network issues and implementing recommended solutions to reduce an influx of trouble tickets at a customer support terminal.

Abstract: Techniques are described herein for authenticating a subscriber when activating user equipment and monitoring user equipment state. During the activation process, one or more using unique authentication questions can be presented to the subscriber in a customer validation screen. Individual subscribers can compose the authentication questions and corresponding answers during purchase such that the purchase order includes at least one device identifier corresponding to the user equipment associated with a purchase order. Upon authentication, one or more functionalities or features of the user equipment can be enabled. Additionally, billing and provisioning systems can be implemented as well as real-time or near real-time subscriber identity module (SIM) provisioning. The status of the user equipment can be transmitted to a telecommunications network provided by a telecommunications service provider on a scheduled basis in order to monitor the user equipment state and compliance.

Abstract: Decreasing the time to resolution of trouble tickets and preemptively resolving potential network issues using a predictive customer care support framework communicatively coupled to a telecommunications service provider via a network is described. Techniques described herein include preprocessing ticket data associated with a trouble ticket corresponding to a subscriber using a decision engine that can implement a decision tree scheme to automatically identify appropriate data sources from which relevant data can be routed to the decision engine in a bundled format. The techniques further include detecting potential network issues not yet reported by subscribers using an analytical engine to identify a root cause for the potential network issues and implementing recommended solutions to reduce an influx of trouble tickets at a customer support terminal.