A system and method for deconstructing a document is described herein, where the method is an improvement over existing document deconstruction techniques. These improvements increase speed and accuracy by rapidly identifying the vendor in an invoice by splitting the invoice into three regions and performing a perceptual image hashing on each section. Then a hamming distance is used to compare the hash for each section with the hashes of known invoices to identify the vendor who sent the invoice.

Aspects of the subject disclosure may include, for example, a non-transitory, machine-readable medium, comprising executable instructions that, when executed by a processing system including a processor, facilitate performance of operations including receiving a call; selecting a next carrier to handoff the call; generating a call data record (CDR) for the handoff to the next carrier; encrypting the CDR using a call encryption key, thereby creating an encrypted CDR; encrypting the encrypted CDR using a committee encryption key, thereby creating a double encrypted CDR; recording the double encrypted CDR to a blockchain; and sending the call encryption key to the next carrier. Other embodiments are disclosed.

A method includes: receiving, by a computing device, a microservice code from a user device; identifying, by the computing device, a service used by the microservice code; identifying, by the computing device, the service in a target cloud platform; generating, by the computing device, a modified microservice code by adding a predefined code template to the microservice code, the predefined code template being associated with the service in the target cloud platform; receiving, by the computing device, user input defining a value of a parameter in the predefined code template in the modified microservice code; and generating, by the computing device, a new deployment file for the target cloud platform based on the modified microservice code.

A wireless telecommunications device user's home telecommunications service provider determines that the user is traveling or about to travel to a foreign jurisdiction where telecommunications services are provided by a different telecommunications service provider, and proactively provides the user with options for selecting or upgrading telecommunications service and receives a selection from the user before the user leaves the home jurisdiction or ceases contact with the home service provider. When the user arrives in the foreign jurisdiction, upgraded service per the user's selection is established or soon ready to become active. The home service provider can determine the user's travel based on one or more of the user's electronic communications, calendar entries, current location, trending geographical movement, or patterns of past travels.

The present application at least describes a computer-implemented method including a step of setting, via a service layer residing on a server outside of an underlying 3GPP network, a trigger in the underlying 3GPP network, where the trigger defines an QoS parameter change in the underlying 3GPP network. The underlying 3GPP network is configured with functionality to send a notification to the service layer upon detecting the QoS parameter change. The computer-implemented method also includes a step of receiving, from the underlying 3GPP network, the notification the detected QoS parameter change has occurred. The computer-implemented method further includes a step of performing, at the service layer residing on the server a service layer operation in response to the received notification.

A mobile device has a display, a memory, an antenna, a transceiver connected to the antenna for communicating voice and data through a wireless communication system, at least one processor, and executable instructions stored in the memory. The executable instructions, when executed by the at least one processor, (i) cause the mobile device to communicate wirelessly with one or more remote servers; (ii) cause the mobile device to display on the display, a user interface for enabling the user of the mobile device to select a mobile network service provider; (iii) in response to a selection, cause the mobile device to be configured for use with a first one of a plurality of mobile network service providers and enable access by the mobile device of wireless communication service; and (iv) in response to a selection, cause the mobile device to be configured for use with a second one of the plurality of mobile network service providers and enable access by the mobile device of wireless communication service provided by the second one of the plurality of mobile network service providers for a service plan offered by the second one of the plurality of mobile network service providers.

A call recommendation system based on artificial intelligence is provided. The call recommendation system includes a data collecting unit, a matching time predicting unit, a price determining unit, and a final ranking determining unit. When a service is requested from a service user, the data collecting unit collects first past data indicating a past location of the service user, first present data indicating a present location of the service user, second past data indicating a past location of a service provider, and second present data indicating a present location of the service provider. The matching time predicting unit inputs the first and second past data and the first and second present data to a recurrent neutral network (RNN) leaning model to predict a future location of the service user and a future location of the service provider and inputs first prediction data regarding the future location of the service user and second prediction data regarding the future location of the service provider to a prediction learning model to predict, when the service provider selects a service, a matching time required until the service provider is matched with a next service user after the service provider completes the service. The price determining unit determines a price for the service such that the price increases as the matching time increases. The final ranking determining unit determines a recommendation rating (or a recommendation priority) of a service among services required for the service provider based on preference data indicating preference of the service provider regarding a service and a price. The RNN learning model and the prediction learning model are based on a deep learning algorithm.

In order to appropriately perform, in a mobile communication system including a plurality of mobile communication networks respectively operated by a plurality of mobile communication operators, cooperation among respective mobile communication networks, a core network node apparatus is a core network node apparatus in a first mobile communication network 1a operated by a mobile communication operator A, the core network node apparatus including an obtaining unit that obtains identification information of terminal apparatuses connected to the first mobile communication network 1a, a determining unit that determines whether the terminal apparatus is managed by a mobile communication operator B operating a second mobile communication network 1b different from the first mobile communication network 1a, based on the identification information, and a control unit that controls charge processing related to a service provided to the terminal apparatus by the first mobile communication network 1a, based on results of the determination.

A method, system, and computer program product for implementing mobile device roaming optimization is provided. The method includes receiving a selection for services associated with a first mobile device provider for activation during travel to a location associated with mobile device roaming attributes with respect to a mobile device of a user. A blockchain structure and a hash masking sensitive data of the user are generated. It is detected that the user and mobile device have traveled to the location and access to the blockchain structure is enabled. Roaming usage attributes of the mobile device are determined. Subsequently, operational functionality of the mobile device at the geographical location is enabled via roaming usage of a network of the second mobile device provider and second hash of consumption related information compliant with data residency is transmitted to the first mobile device provider to facilitate resolution of disputes across entities.

Techniques are disclosed for providing data restoration for a call server control function (S-CSCF) in a telecommunications network that includes a P-Visited-Network-ID (PVNI). In some embodiments, in the course of a user device registering to a telecommunications network, a home subscriber server (HSS) of the network stores a PVNI for the user device. If a S-CSCF that corresponds to the user device later fails, the network is able to restore the S-CSCF using the information in the HSS, which includes the PVNI.