Abstract: Systems and methods are provided for providing transference of a user equipment to a 5G network when a voice call is terminated. The systems and method can include receiving, at a mobility management entity, a voice call termination message from a serving gateway, determining, by the mobility management entity, whether the user equipment includes a 5G subscription and 5G capability based on the voice call termination message, and providing, by the mobility management entity, a handover message to the user equipment to initiate a handover to the 5G network based on the determining of whether the user equipment includes the 5G subscription and 5G capability.

Abstract: Systems and methods are provided for providing transference of a user equipment to a 5G network when a voice call is terminated. The systems and method can include receiving, at a mobility management entity, a voice call termination message from a serving gateway, determining, by the mobility management entity, whether the user equipment includes a 5G subscription and 5G capability based on the voice call termination message, and providing, by the mobility management entity, a handover message to the user equipment to initiate a handover to the 5G network based on the determining of whether the user equipment includes the 5G subscription and 5G capability.

Abstract: Systems and methods are provided for providing transference of a user equipment to a 5G network when a voice call is terminated. The systems and method can include receiving, at a mobility management entity, a voice call termination message from a serving gateway, determining, by the mobility management entity, whether the user equipment includes a 5G subscription and 5G capability based on the voice call termination message, and providing, by the mobility management entity, a handover message to the user equipment to initiate a handover to the 5G network based on the determining of whether the user equipment includes the 5G subscription and 5G capability.

Abstract: Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for assessing a performance and/or determining a programmatically expected performance of a marketing campaign. In one embodiment a method for creating a unified data set from a plurality of data sets received from third-party service providers is disclosed. In one embodiment, a graphical user interface is used to facilitate user access to visual representation of the unified data set. In one embodiment, the unified data set may be used to train a machine learning model. In some implementations, the machine learning model may predict an expected performance for marketing campaigns. In one embodiment, the machine learning model may adjust one or more parameters of the marketing campaign in order to increase the effectiveness of the marketing campaign and the associated revenue.

Abstract: Embodiments of the present disclosure provide methods, systems, apparatuses, and computer program products for assessing a performance and/or determining a programmatically expected performance of a marketing campaign. In one embodiment a method for creating a unified data set from a plurality of data sets received from third-party service providers is disclosed. In one embodiment, a graphical user interface is used to facilitate user access to visual representation of the unified data set. In one embodiment, the unified data set may be used to train a machine learning model. In some implementations, the machine learning model may predict an expected performance for marketing campaigns. In one embodiment, the machine learning model may adjust one or more parameters of the marketing campaign in order to increase the effectiveness of the marketing campaign and the associated revenue.