Abstract: Aspects of the subject disclosure may include, for example, a method including collecting performance data associated with a communication network operating at a venue, providing the performance data for the communication network to a performance map graphical user interface, where the performance map graphical interface presents a plurality of discrete polygons and a plurality of graphical keys, and where the plurality of graphical keys are superimposed onto the plurality of polygons associated with a plurality of zones associated with the venue, detecting a first performance attribute associated with a first zone of the plurality of zones associated with the venue exceeding a threshold according to a first graphical key of the plurality of graphical keys that is superimposed onto a first discrete polygon of the plurality of discrete polygons, and triggering a notification according to the detecting the first performance exceeding the threshold. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining traffic that is conveyed at least in part within a private cloud network, based on the obtaining, identifying characteristics of the traffic, and based on the identifying of the characteristics of the traffic, causing at least one action to be performed within the private cloud network. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a method in which a processing system creates a network element by consolidating a control plane including a combination of a plurality of 5G control plane functions and a plurality of IMS control plane functions with an associated user plane including a combination of a 5G user plane function (UPF) and one or more IMS user plane functions. The method also includes deploying the network element at a network edge of the service provider network, receiving a request from a user endpoint (UE) device for a network service, and attaching the UE to the network element. The network element is configured to facilitate providing the requested network service. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining information regarding a metaverse object and data regarding network resources, deriving a mapping between the metaverse object and one or more of the network resources based on the information and the data, and providing a hybrid service design and orchestration (H-SDO) system with access to the mapping to facilitate selection of particular network resources for supporting one or more metaverse service requests relating to the metaverse object. Other embodiments are disclosed.

Abstract: The disclosed technology is directed towards presenting promotional content via an avatar representing a first, promoter user to a second, target user experiencing a virtual or other environment. The promotional content may be presented via an alteration of the avatar, audio output and/or an object virtually associated with the avatar. The promotional content may be selected based on matching target user data describing a target user experiencing a virtual reality environment. Different users viewing the same avatar at the same time can be presented with different promotional content. Information may be output to attract a target user to perceive the promotional content. The promoter user can interact to obtain a current promotion status notification, as well as to select from available promotional content offerings to promote.

Abstract: Aspects of the subject disclosure may include, for example: obtaining first data that is associated with a first user and that is indicative of personality trait(s) of the first user; obtaining second data that is associated with a second user and that is indicative of personality trait(s) of the second user; receiving first usage data that is indicative of viewing by the first user of media content; receiving second usage data that is indicative of viewing by the second user of the media content; determining change(s) to be made to the media content, wherein the change(s) are in accordance with the first and second personality traits, and wherein the change(s) are designed to minimize a stress level of the first user and/or the second user; editing the media content to reflect the change(s); and providing edited media content to the first and second users. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, enterprise application shield systems and methods for performing a sequence of security checks as to an incoming HTTP request and forwarding the HTTP request to a target system upon detection of an absence of a triggering event and an absence of sensitive personal information. Otherwise, the HTTP request is dropped and no response will be provided to a sender of the HTTP request. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a plurality of alarms associated with a network, correlating the plurality of alarms to data that identifies a topology of the network to obtain a plurality of correlated events, applying a model that is based on machine learning to the plurality of correlated events to generate an extended correlated event, identifying a solution to the extended correlated event, and implementing the solution as part of the network. Other embodiments are disclosed.

Abstract: A method for detecting anomalous streaming network traffic data in real time includes: creating an anomaly detection model including a singular value matrix and a data pattern matrix from a matrix of historical network traffic data; storing the singular value matrix and the data pattern matrix of the anomaly detection model; receiving streaming network traffic data; performing a log transform on the streaming network traffic data; applying the anomaly detection model to a matrix of the streaming network traffic data in real time as the streaming network traffic data is received; detecting anomalous patterns in the streaming network traffic data based on patterns identified by the anomaly detection model; and associating the anomalous patterns in the streaming network traffic data with IP addresses.

Abstract: Techniques are described that facilitate dynamically predicting and minimizing risks associated with performance of physical tasks. In one example embodiment, method comprises obtaining, by a system comprising a processor, current health status information regarding a current health status of an entity and task information regarding a task to be performed by the entity. The method further comprises determining, by the system, a personalized assessment of an ability of the entity to perform the task relative to an environment in which the task is to be performed based on the current health status information and the task information, and determining, by the system, risk information regarding a risk associated with performance of the task by the entity within the environment as a function of the personalized assessment.

Abstract: Aspects of the subject disclosure may include, for example analyzing emergency communications that were transmitted from end user devices; determining that a group of the emergency communications that corresponds to a group of the end user devices is associated with an emergency event; extracting descriptions of the emergency event from the group of the emergency communications; retrieving mapping data of a location associated with the emergency event; and generating a graphical representation of the emergency event based on a machine learning model being applied to the mapping data and the descriptions, where the machine learning model is trained on historical emergency events. Other embodiments are disclosed.

Abstract: Adaptive grouping of an access point (AP) slice with other computing resource slices is disclosed. Grouping of an AP slice can comprise grouping to a radio access network (RAN) slice, to a backhaul network (BH) slice, to a network core component (core) slice, or combinations thereof. The grouping can be based on end point device information, AP environment information, and/or user preference information. Coordinating or synchronization of AP, RAN, BH, core slices, or combinations thereof, can enable streamlining of migration of a device between an AP component to a RAN component. Moreover, slice coordination can enable efficient use of communication path resources tailored to needs of devices connecting to an AP device. A determined grouping can be modified before provisioning, or after provisioning, in response to changes in device demands, AP state, etc.

Abstract: A processing system may obtain a feature vector for a relationship between first and second user identities within a telecommunication network, the feature vector including: a first number of communications from the first user identity to the second user identity for a first communication channel, a first volume associated with the first number of communications, a second number of communications from the second user identity to the first user identity for the first communication channel, and a second volume associated with the second number of communications. The processing system may then calculate a scaled distance between the feature vector and a centroid comprising a mean vector of a set of relationships between user identities within the telecommunication network, where the scaled distance is associated to a trust value, and perform at least one remedial action in the telecommunication network based on the trust value.

Abstract: Enabling machine-to-machine communication for digital assistants can include initiating a call with a called device, generating audio stream data having a first instance of audio and a first spoken command, which can be provided to the called device. A second instance of audio stream data can be received from the called device, can include a second spoken command, and can be analyzed to determine if it includes assistant signature data. If the second instance of audio stream data includes the assistant signature data, the devices can switch to machine-to-machine communications.

Abstract: Aspects of the subject disclosure may include, for example, receiving environmental data from a plurality of environmental data sources, identifying environmental risks based on the environmental data, obtaining profile information relating to a user or entity, based on the obtaining the profile information and the identifying the environmental risks, generating a recommendation for one or more locations of possible interest, and causing the recommendation to be presented to the user or entity, thereby providing location-based environmental risk information that is customized on a per user or per entity basis. Other embodiments are disclosed.

Abstract: In one example, a method performed by a processing system including at least one processor includes acquiring a plurality of video volumes of an environment from a plurality of cameras, wherein at least two individual video volumes of the plurality of video volumes depict the environment from different viewpoints, generating a panoptic video feed of the environment from the plurality of video volumes, detecting an event of interest occurring in the panoptic video feed, and isolating a video volume of the event of interest to produce a video excerpt.

Abstract: Adaptable resiliency for a virtualized radio access network (vRAN) framework is disclosed. A resiliency management component can determine vRAN topological adaptations that can reflect resiliency requirements of service instance(s). Accordingly, sufficient redundant vRAN components to satisfy the resiliency requirements can be deployed. However, unlike conventional redundancy techniques that can determine a highest level of redundancy and then apply that relative to all supported services, the disclosed subject matter can avoid over-deploying redundant vRAN components, e.g., redundant components exceeding the resiliency requirement of a service instance, resulting in lowered monetary and non-monetary costs to maintain a vRAN. Moreover, as the services change, the topology of the vRAN can be automatically adapted to purge excessive redundancies, add newly required redundancies, etc., which can facilitate propagating an adequate but lean vRAN topology that is sufficiently resilient.

Abstract: Aspects of the subject disclosure may include, for example, obtaining a request pertaining to an onboarding of an application supporting a communication network or system, based on the obtaining of the request, establishing a profile for the application, selecting first resources of a first cloud computing network to support the application, based on the selecting of the first resources, configuring at least one resource of the first resources based on the profile, and deploying a first instance of the application to utilize the first resources. Other embodiments are disclosed.

Abstract: The described technology is generally directed towards network slice pre-configuration for cellular communication systems, including 5G and subsequent generation cellular communication systems. Network equipment can be preconfigured to identify whether a network slice identifier included in a network communication belongs to a group of network slice identifiers. If so, the network equipment can process the network communication either according to a network slice rule that corresponds specifically to the network slice identifier, or according to a default group network slice rule for the group to which the network slice identifier belongs. Different groups of network slice identifiers can be associated with different sets of group network slice rules which can be arranged to reduce the work of setting up network slice identifiers in various network slicing scenarios.

Abstract: Aspects of the subject disclosure may include systems and methods, for example, including receiving a user input in natural language, retrieving a first answer including a list of a first number of documents relevant to the user input by searching indexed documents in a knowledge base, applying the first answer to a large language model reader, resulting in a second answer, re-ranking the first answer by using the second answer, resulting in a third answer including a re-ranked list of the first number of documents, and generating a final response including the second answer and one or more documents among the third answer.