Abstract: The system receives an indication of an issue associated with a wireless telecommunication network and an indication of an operator capable of resolving the issue. The system sends a notification to an AR/VR device associated with the operator. The notification indicates the issue and prompts the operator to join a virtual collaboration room. The system receives a request to join the virtual collaboration room from the operator based on a gesture or a voice command detected by the AR/VR device. The system creates the virtual collaboration room, via a 5G wireless telecommunication network, including a screen shared among multiple operators. The system records operations performed in the virtual collaboration room until a resolution to the issue has been determined.

Abstract: A system connects a 5G telecommunications network to a smart device equipped with a camera. The smart device uses a discriminative model to create a textual description of the scene describing recognized objects and locally converts the textual description to textual data. The system receives the textual data from the smart device over the 5G network. After receiving the file, the system causes the smart device to delete the video. The system inputs the textual data into a remotely located large language model (LLM) and analyzes the textual data based on the textual description of the scene. The system generates a proposed workflow as an executable file based on the LLM's analysis, where the proposed workflow corresponds to commands for the smart device. The system transfers the executable file over the 5G network to the smart device and causes the smart device to execute the executable file.

Abstract: The disclosed system receives a request from a user to interact with an agent of a wireless telecommunication network including a 5G wireless telecommunication network or higher generation wireless telecommunication network. The system determines whether the user is associated with a first AR/VR device including a camera configured to capture an object proximate to the first AR/VR device and a display configured to show a virtual object, which is not part of a surrounding associated with the first AR/VR device. Upon determining that the user is associated with the first AR/VR device, the system creates a high-bandwidth communication channel over the wireless telecommunication network between the first AR/VR device and a second AR/VR device and a virtual room enabling the user and the agent to share visual information over the high-bandwidth communication channel.

Abstract: The system obtains network information by creating an index of network websites and obtains UE contextual information including: cell tower ID serving the UE, technical capability of the UE, UE performance information, updates to the UE, UE browsing history, and site deployment information. The system obtains from the UE a natural language query and provides the query, the network information, and the UE contextual information to an AI. The system obtains from the AI an answer to the natural language query, where the answer is a summary of a relevant website. Based on the UE contextual information, the system determines whether a user of the UE is technologically savvy or not technologically savvy. If the user is technologically savvy, the system presents the answer and a link to the relevant website; otherwise, the system offers to connect the user to an operator of the network.

Abstract: The disclosed system receives a request from a user to interact with an agent of a wireless telecommunication network including a 5G wireless telecommunication network or higher generation wireless telecommunication network. The system determines whether the user is associated with a first AR/VR device including a camera configured to capture an object proximate to the first AR/VR device and a display configured to show a virtual object, which is not part of a surrounding associated with the first AR/VR device. Upon determining that the user is associated with the first AR/VR device, the system creates a high-bandwidth communication channel over the wireless telecommunication network between the first AR/VR device and a second AR/VR device and a virtual room enabling the user and the agent to share visual information over the high-bandwidth communication channel.

Abstract: Disclosed here is a method to determine a user intent when a user device initiates an interactive voice response (IVR) call with a wireless telecommunication network. A processor can detect the IVR call initiated with the network and determine whether the user device is a member of the network. Upon determining that the user device is a member of the network, the processor can obtain user history including interaction history between the user and the network. Based on the user history, the processor can predict the user intent when the user initiates the IVR call. The processor can detect whether user device is a 5G capable device. Upon the determining that the device is 5G capable and based on the predicted user intent, the processor can suggest to the user an application configured to execute on the user device and configured to address the predicted user intent.

Abstract: The system receives an indication of an issue associated with a wireless telecommunication network and an indication of an operator capable of resolving the issue. The system sends a notification to an AR/VR device associated with the operator. The notification indicates the issue and prompts the operator to join a virtual collaboration room. The system receives a request to join the virtual collaboration room from the operator based on a gesture or a voice command detected by the AR/VR device. The system creates the virtual collaboration room, via a 5G wireless telecommunication network, including a screen shared among multiple operators. The system records operations performed in the virtual collaboration room until a resolution to the issue has been determined.

Abstract: The disclosed system receives a request from a user to interact with an agent of a wireless telecommunication network including a 5G wireless telecommunication network or higher generation wireless telecommunication network. The system determines whether the user is associated with a first AR/VR device including a camera configured to capture an object proximate to the first AR/VR device and a display configured to show a virtual object, which is not part of a surrounding associated with the first AR/VR device. Upon determining that the user is associated with the first AR/VR device, the system creates a high-bandwidth communication channel over the wireless telecommunication network between the first AR/VR device and a second AR/VR device and a virtual room enabling the user and the agent to share visual information over the high-bandwidth communication channel.

Abstract: The system receives an indication of an issue associated with a wireless telecommunication network and an indication of an operator capable of resolving the issue. The system sends a notification to an AR/VR device associated with the operator. The notification indicates the issue and prompts the operator to join a virtual collaboration room. The system receives a request to join the virtual collaboration room from the operator based on a gesture or a voice command detected by the AR/VR device. The system creates the virtual collaboration room, via a 5G wireless telecommunication network, including a screen shared among multiple operators. The system records operations performed in the virtual collaboration room until a resolution to the issue has been determined.

Abstract: The disclosed system receives a request from a user to interact with an agent of a wireless telecommunication network including a 5G wireless telecommunication network or higher generation wireless telecommunication network. The system determines whether the user is associated with a first AR/VR device including a camera configured to capture an object proximate to the first AR/VR device and a display configured to show a virtual object, which is not part of a surrounding associated with the first AR/VR device. Upon determining that the user is associated with the first AR/VR device, the system creates a high-bandwidth communication channel over the wireless telecommunication network between the first AR/VR device and a second AR/VR device and a virtual room enabling the user and the agent to share visual information over the high-bandwidth communication channel.

Abstract: The system receives an indication of an issue associated with a wireless telecommunication network and an indication of an operator capable of resolving the issue. The system sends a notification to an AR/VR device associated with the operator. The notification indicates the issue and prompts the operator to join a virtual collaboration room. The system receives a request to join the virtual collaboration room from the operator based on a gesture or a voice command detected by the AR/VR device. The system creates the virtual collaboration room, via a 5G wireless telecommunication network, including a screen shared among multiple operators. The system records operations performed in the virtual collaboration room until a resolution to the issue has been determined.

Abstract: Disclosed here is a system to automatically predict and resolve issues within a telecommunication network. Initially, the system builds a service registry to store dependence information within the network, which can include software components and hardware components. Various components of the network create logs of their operations. Machine learning models examine the logs and detect any issues. Upon detecting an issue or abnormal event, the system can automatically resolve the issue by determining the most similar issue occurring previously and determining a solution that resolved the previous most similar issue. In addition, the system can propagate the fix to dependent systems and/or notify the dependent systems of the issue.

Abstract: Disclosed here is a method to determine a user intent when a user device initiates an interactive voice response (IVR) call with a wireless telecommunication network. A processor can detect the IVR call initiated with the network and determine whether the user device is a member of the network. Upon determining that the user device is a member of the network, the processor can obtain user history including interaction history between the user and the network. Based on the user history, the processor can predict the user intent when the user initiates the IVR call. The processor can detect whether user device is a 5G capable device. Upon the determining that the device is 5G capable and based on the predicted user intent, the processor can suggest to the user an application configured to execute on the user device and configured to address the predicted user intent.

Abstract: Disclosed here is a system to automatically predict and resolve issues within a telecommunication network. Initially, the system builds a service registry to store dependence information within the network, which can include software components and hardware components. Various components of the network create logs of their operations. Machine learning models examine the logs and detect any issues. Upon detecting an issue or abnormal event, the system can automatically resolve the issue by determining the most similar issue occurring previously and determining a solution that resolved the previous most similar issue. In addition, the system can propagate the fix to dependent systems and/or notify the dependent systems of the issue.

Abstract: Disclosed here is a method to determine a user intent when a user device initiates an interactive voice response (IVR) call with a wireless telecommunication network. A processor can detect the IVR call initiated with the network and determine whether the user device is a member of the network. Upon determining that the user device is a member of the network, the processor can obtain user history including interaction history between the user and the network. Based on the user history, the processor can predict the user intent when the user initiates the IVR call. The processor can detect whether user device is a 5G capable device. Upon the determining that the device is 5G capable and based on the predicted user intent, the processor can suggest to the user an application configured to execute on the user device and configured to address the predicted user intent.

Abstract: Disclosed here is a method to determine a user intent when a user device initiates an interactive voice response (IVR) call with a wireless telecommunication network. A processor can detect the IVR call initiated with the network and determine whether the user device is a member of the network. Upon determining that the user device is a member of the network, the processor can obtain user history including interaction history between the user and the network. Based on the user history, the processor can predict the user intent when the user initiates the IVR call. The processor can detect whether user device is a 5G capable device. Upon the determining that the device is 5G capable and based on the predicted user intent, the processor can suggest to the user an application configured to execute on the user device and configured to address the predicted user intent.

Abstract: Disclosed here is a system to automatically predict and resolve issues within a telecommunication network. Initially, the system builds a service registry to store dependence information within the network, which can include software components and hardware components. Various components of the network create logs of their operations. Machine learning models examine the logs and detect any issues. Upon detecting an issue or abnormal event, the system can automatically resolve the issue by determining the most similar issue occurring previously and determining a solution that resolved the previous most similar issue. In addition, the system can propagate the fix to dependent systems and/or notify the dependent systems of the issue.

Abstract: Disclosed here is a method to determine a user intent when a user device initiates an interactive voice response (IVR) call with a wireless telecommunication network. A processor can detect the IVR call initiated with the network and determine whether the user device is a member of the network. Upon determining that the user device is a member of the network, the processor can obtain user history including interaction history between the user and the network. Based on the user history, the processor can predict the user intent when the user initiates the IVR call. The processor can detect whether user device is a 5G capable device. Upon the determining that the device is 5G capable and based on the predicted user intent, the processor can suggest to the user an application configured to execute on the user device and configured to address the predicted user intent.

Abstract: A customer care system that uses machine learning to surface relevant information for resolving customer issues regarding cellular network service is provided. The system receives a set of incoming data that includes current information of a cellular network. The system applies the set of incoming data as input to a machine learning model to produce a set of predicted conclusions. The machine learning model is trained by using one or more sets of orthogonal datasets that includes historical information of the cellular network. The system maps the set of predicted conclusions to a remedial action and performs the remedial action to effectuate a change in the cellular network.

Abstract: Cellular networks regularly operate with trusted devices, which typically are trusted because of the integration of a SIM card therewith. Untrusted devices typically do not interface with a SIM card, and rely on user input through traditional user interfaces for authentication. Recently, the use of hands-free, always-on digital assistant devices have become more common. Such devices typically have only a voice user interface that may be used by a number of people in close proximity to the device. Particular problems arise in such a scenario when a user wants to access a secure service that requires user authentication. Such problems are addressed with multiple techniques described herein.