Various embodiments described herein are directed towards authenticating calls by using one or more keys associated with a specific user. In examples, the user is the sender of a call. In various embodiments, when a call is made, an identifying payload is encrypted using a private key associated with the user. The encrypted identifying payload is appended to the call data stream. The identifying payload may be decrypted with a public key. In embodiments, the identifying payload may be verified. In various embodiments, further authentication methods may be performed by using an object such as a contactless card to provide one or more components of the identifying payload and/or keys. In embodiments, a connection may be made between the sender and the intended recipient of a call based on the verification of the identifying payload.

Certain aspects of the disclosure are directed to control of data communications services. According to a specific example, an apparatus is provided including one or more computer processor circuits configured and arranged to interface with remotely-situated client entities using a first programming language used by a data communications server, and to provide a database of communications services to the client entities. The apparatus further includes communications control circuitry configured and arranged to control communications routing for each respective client entity, by identifying, client-specific sets of control data derived from programming instructions received over a network and corresponding to a second programming language that is compatible with the first programming language, and providing the communications services to end-users of the client entity based on the client-specific sets of control data including particular routing functions for emergency notifications.

Implementations described and claimed herein provide systems and methods for intelligent node type selection in a telecommunications network. In one implementation, a customer set is obtained for a communications node in the telecommunications network. The customer set includes an existing customer set and a new customer set. A set of customer events is generated for a node type of the communications node using a simulator. The set of customer events is generated by simulating the customer set over time through a discrete event simulation. An impact of the customer events is modeled for the node type of the communications node. The node type is identified from a plurality of node types for a telecommunications build based on the impact of the customer events for the node type.

Various embodiments described herein are directed towards authenticating calls by using one or more keys associated with a specific user. In examples, the user is the sender of a call. In various embodiments, when a call is made, an identifying payload is encrypted using a private key associated with the user. The encrypted identifying payload is appended to the call data stream. The identifying payload may be decrypted with a public key. In embodiments, the identifying payload may be verified. In various embodiments, further authentication methods may be performed by using an object such as a contactless card to provide one or more components of the identifying payload and/or keys. In embodiments, a connection may be made between the sender and the intended recipient of a call based on the verification of the identifying payload.

Implementations described and claimed herein provide systems and methods for intelligent node type selection in a telecommunications network. In one implementation, a customer set is obtained for a communications node in the telecommunications network. The customer set includes an existing customer set and a new customer set. A set of customer events is generated for a node type of the communications node using a simulator. The set of customer events is generated by simulating the customer set over time through a discrete event simulation. An impact of the customer events is modeled for the node type of the communications node. The node type is identified from a plurality of node types for a telecommunications build based on the impact of the customer events for the node type.

Implementations described and claimed herein provide systems and methods for intelligent node type selection in a telecommunications network. In one implementation, a customer set is obtained for a communications node in the telecommunications network. The customer set includes an existing customer set and a new customer set. A set of customer events is generated for a node type of the communications node using a simulator. The set of customer events is generated by simulating the customer set over time through a discrete event simulation. An impact of the customer events is modeled for the node type of the communications node. The node type is identified from a plurality of node types for a telecommunications build based on the impact of the customer events for the node type.

A method, system, and computer readable medium comprising instructions for providing Internet protocol enabled information delivery are provided. Information from a calling party is received at an Internet protocol enabled device. A lookup of information relating to the calling party is performed in a database via an Internet protocol connection. A message is received from the database comprising information relating to the calling party.

In some implementations, a device may obtain data indicating a client activity, and may determine predictive level scores corresponding to predictive level options associated with the client activity. The device may transmit, to a client device, a selected predictive level option having a highest predictive level score. The device may receive, from the client device, a client query based on a rejection of the selected predictive level option, and may determine intent level scores corresponding to intent level options associated with the client query. The device may identify a selected intent level option having a highest intent level score and may initiate client experience(s) associated with the selected intent level option. The predictive level scores and/or the intent level scores may be determined based on historical training data associated with combinations of client activities, predictive level options, client queries, intent level options, client experiences, and associated success scores.

Enhanced capabilities within a telephone network are made accessible to a telecommunications device. The telecommunications device is used to dial a sequence. A network server receives and identifies the sequence invokes an advanced network function. A advanced network function server in communication with the network server provides instructions as to how the network server is to provide the advanced network function. The network server processes the call in accordance with the received instructions to provide the particular advanced network function.

Implementations described and claimed herein provide systems and methods for identification of connection areas in a telecommunications network. In one implementation, a customer set is obtained for a communications node in the telecommunications network. The customer set includes an existing connection type and a collection of network sites including the connection type is generated from the customer set. An overlay of customer sites without the connection type may be applied to the collection of network sites to generate an intersection of non-connected customer sites within the collection of network sites including the connection type. The intersection provides an indication of underserviced sites connection to the telecommunication network for potential network growth.