Simulating intelligent network triggers in a network system is provided. A mobile terminal is configured with an intelligent network Simulator adapted to detect call events and originate simulated intelligent network triggers in response to the call events. Call progressions implemented according to the simulated intelligent network triggers may be managed or coordinated by at least one of a carrier-gateway server and an Enterprise-gateway server. Call progressions implemented by simulated intelligent network triggers may be specified according to Enterprise member policies or general Enterprise behaviors. Advantageously, if a carrier network does not support a trigger infrastructure that has capabilities of originating triggers and terminating triggers, or if a roaming agreement is not in place that allows transfer of triggers between carriers, the use of an intelligent network Simulator provides an alternative mechanism for providing IN service functionality without network support for intelligent network triggers.

Systems and methods are disclosed for using machine-learning techniques for labeling incoming calls with categories relating to a risk level. A model is generated using call log data. The call log data is augmented using information from additional data sources to generate features for the model. The model may then be used to categorize additional incoming calls. The model may be used in real-time to categorize incoming calls, or categorization results may be stored for a plurality of calling numbers. Various embodiments provide various technical advantages by virtue of how the components of the system are deployed between an endpoint communication device, a telephony provider system, and possibly other systems.

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.

Pre-authorized communication services and/or transactions are provided via a plurality of networks in response to a request received from a user to provide at least one of a communication service, a transaction and user account information via a plurality of networks of different types. Prior to processing the request, there is verification of the user's authorization to receive the at least one of the communication service, the transaction, and the user account information, and that an account associated with the user has a sufficient amount currently available for payment of the at least one of the communication service and the transaction. After verification, an authorized account associated with the user is charged in real time as the at least one of the communication service and the transaction is provided.

A business process and supporting system that incorporates the resulting cloud-based workflow to procure and manage broadband and related services. The business process is divided into its component steps. All communication is abstracted into structured data allowing for a systematic and error free process. Tools are built into the system to enhance ease of use, and eliminating time wasting effort. An algorithmic approach to matching Customer needs to ISP offerings provides a very efficient and cost-effective way to manage a very real need for multi-location businesses.

Systems and methods for using machine-learning techniques for labeling incoming calls with categories relating to a risk level. A model is generated using call log data. The call log data is augmented using information from additional data sources to generate features for the model. The model may then be used to categorize additional incoming calls. The model may be used in real-time to categorize incoming calls, or categorization results may be stored for a plurality of calling numbers. Various embodiments provide various technical advantages by virtue of how the components of the system are deployed between an endpoint communication device, a telephony provider system, and possibly other systems.

The present disclosure is directed to consolidation of STP pairs without deploying new STP pairs and without making changes at a Service Switching Point to reflect the consolidation. In one aspect, a method includes identifying a first pair of signal transfer point devices to be decommissioned from a telecommunication network; identifying a second pair of signal transfer point devices to assume, in part, functionalities of the first pair of signal transfer point devices, each signal transfer point device of the first pair and the second pair having at least one primary point code and at least one secondary point code assigning a temporary secondary point code to each signal transfer point device of the first pair; and modifying at least one secondary point code of each signal transfer point device of the second pair with a primary point code of at least one signal transfer point device of the first pair.

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.

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.