Abstract: Aspects of the subject disclosure may include, for example, transmitting, by a processing system including a processor, a request for attention, wherein the processing system stores first data pertaining to a first user, receiving, by the processing system and based on the transmitting of the request for attention, a key from a second processing system including a second processor, based on the receiving of the key, identifying, by the processing system, a first portion of the first data to be transmitting to the second processing system, wherein the first portion of the first data is less than an entirety of the first data, and based on the identifying of the first portion of the first data, transmitting, by the processing system, the first portion of the first data to the second processing system. Other embodiments are disclosed.

Abstract: Concepts and technologies are disclosed herein for communications network security for handling proxy voice calls that employ a voicebot. According to one aspect disclosed herein, a call handling system can intercept, from a communications network, a call request that is directed to a called target device. The call handling system can determine that the call request was generated by a voicebot on behalf of a user equipment. The call handling system can suspend the call request from being routed to the called target device. The call handling system can generate a voicebot confirmation request that identifies the voicebot and the user equipment. The call handling system can provide the voicebot confirmation request to the called target. The call request can be suspended while the voicebot confirmation request is provided to the called target device.

Abstract: Aspects of the subject disclosure may include, for example, identifying a first sensitivity level associated with a first data item, comparing the first sensitivity level to a first threshold, resulting in a first comparison, selecting a first device based on the first comparison, transmitting the first data item to the first device based on the selecting of the first device, identifying a second sensitivity level associated with a second data item, wherein the second sensitivity level is different from the first sensitivity level, comparing the second sensitivity level to a second threshold, resulting in a second comparison, selecting a second device based on the second comparison, wherein the second device is different from the first device, and transmitting the second data item to the second device based on the selecting of the second device. Other embodiments are disclosed.

Abstract: Security mechanisms for content delivery networks (“CDNs”) are disclosed herein. One security mechanism can be used to mitigate or prevent dynamic content attacks. A system can execute a CDN manager to perform operations. In particular, the CDN manager can receive a plurality of hypertext transfer protocol (“HTTP”) requests, and parse a plurality of headers from the plurality of HTTP requests to determine a plurality uniform resource locators (“URLs”). The CDN manager can generate a plurality of web page images associated with the plurality of URLs. The CDN manager can execute a machine learning algorithm, such as a convolution neural network, to perform an analysis of the plurality of web page images. Based upon the analysis of the plurality of web page images, the CDN manager can determine whether the plurality of HTTP requests are for the same web page, which can be indicative of a dynamic content attack.

Abstract: Aspects of the subject disclosure may include, for example, a method that includes obtaining, by a processing system, real-time information regarding a state of a communication network and capabilities of the communication network; selecting a routing for delivering a message to user equipment (UE) coupled to the network, in accordance with the real-time information; and configuring a messaging path according to the routing. The method further includes detecting whether the UE is in a non-active state and if so, providing a notification on a user plane data path of the communication network; the UE on returning to an active state thus is notified that the message is available via the user plane data path. If the UE on returning to the active state is unable to receive the message via the user plane data path, the message is then provided on a control plane signaling path. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving a plurality of proposed machine learning solutions to a machine learning problem including receiving, for each respective proposed machine learning solution of the plurality of proposed machine learning solutions, one or more of a machine learning model, a dataset and a data pipeline output; automatically determining hybrid solutions to the machine learning problem, including combining, by the processing system, at least one of a first component from a first proposed machine learning solution with at least one of a second component from a second proposed machine learning solution; and ranking the hybrid solutions including determining a log loss score for each hybrid solution and sorting the hybrid solutions according to the log loss score for each hybrid solution. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, obtaining, from a network server device, first information regarding a first device, generating a media control package based on the first information, wherein the media control package relates to primary content to be presented, wherein the primary content is associated with a first timestamp that corresponds to a first event or context in the primary content, and wherein the media control package includes a first instruction for controlling the first device when a playback position of the primary content corresponds to the first timestamp, and causing the media control package to be provided to the network server device to enable augmentation of a presentation of the first event or context via control of the first device, in accordance with the first instruction, when the playback position of the primary content corresponds to the first timestamp. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, computing a first time gap associated with a completion of a first transfer of first data via a first network connection and a completion of a second transfer of second data via a second network connection that is different from the first network connection, determining, based on the computing of the first time gap, that the first time gap exceeds a threshold, and adjusting, based on the determining, respective shares of third data that are to be transferred via the first network connection and the second network connection. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, receiving network-related information associated with a first RAN that includes a first RIC, obtaining, from an artificial intelligence (AI) model synchronization system associated with a second RAN, data relating to an AI model deployed by a second RIC of the second RAN, determining, based on the data relating to the AI model and the network-related information associated with the first RAN, that the AI model can be leveraged by the first RAN to improve network performance of the first RAN, performing synchronization with the AI model synchronization system to obtain the AI model, responsive to the determining that the AI model can be leveraged by the first RAN to improve the network performance of the first RAN, and causing the first RIC to deploy the AI model in the first RAN after the performing the synchronization. Other embodiments are disclosed.

Abstract: Facilitating receiver beamforming and antenna panel switching in advanced networks (e.g., 4G, 5G, and beyond) is provided herein. Operations of a system can comprise performing a receiver beam evaluation procedure that determines whether a receiving beam is to be changed from a first receiving beam to a second receiving beam. The operations can also comprise transmitting, to a network device, a request for permission to perform a beam management procedure that switches the receiving beam from the first receiving beam to the second receiving beam. Further, the operations can comprise receiving, from the network device, a response to the request. The response can comprise an indication of an action to be performed based on a result of the receiver beam evaluation procedure.

Abstract: Adaptive packet scheduling for interference mitigation is disclosed. Current spectral information can be compared to historical spectral information to determine a likelihood of a future interference event. Based on the furfure interference event, a data frame can be adapted to mitigate the effect of the future interference event on wireless communication. The interference event can be related to an unintentional interference source that can have distinct interference characteristics distinguishing it from an intentional interference source. Comparison can be facilitated by a data store storing historical interference information related to one or more historical interference events.

Abstract: Methods, systems, and apparatuses may provide for the auto-determination of partial usage of a physical environment and use derived intelligence to take various actions. This may allow for partial resulting maintenance of the physical environment based on a single use or use over time.

Abstract: The described technology is generally directed towards a cellular network area optimizer. The area optimizer observes cellular network conditions at multiple radio access network (RAN) nodes within a target area. Based on observed conditions, the area optimizer applies a set of parameter values at the multiple RAN nodes. The set of parameter values enhances the overall throughput, while maintaining or improving connection retainability and accessibility, of the multiple RAN nodes under the observed conditions. The area optimizer learns different sets of parameter values to apply in response to different observed conditions by making parameter value adjustments and observing the effect of the adjustments on overall throughput of the RAN nodes in the target area.

Abstract: Aspects of the subject disclosure may include, for example, system and apparatus that enable operations that may include receiving, by a processing system, project data defining a proposed machine learning (ML) project of an entity and storing the project data in a project database with other project data for other projects. The operations may further include extracting extracted features of the proposed project and, based on the extracted features, determining a clustering assignment for the proposed project. Determining the clustering assignment may comprise comparing information about the proposed project including the extracted features with information about the other projects and assigning the proposed project to a cluster including one or more projects having similar bias characteristics as the proposed project. The operations may further include determining a risk of potential bias for the proposed project and, based on the risk of bias, recommending a corrective action to reduce the risk of bias.

Abstract: Aspects of the subject disclosure may include, for example, a device, including a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations including receiving user specified metadata for execution tasks associated with a machine learning (ML) model; receiving artifacts specifying program code for implementing the ML model; creating a file system structure for a container to hold the ML model; receiving environment variables for operation of the ML model; and building the container including a model image for the ML model. Other embodiments are disclosed.

Abstract: The disclosed technology is directed towards automated configuration enforcement in wireless communication systems, which can be implemented in an audit manager (e.g. an ONAP micro-service) as part of an overall architecture. The audit manager obtains misconfiguration data representing misconfigured configurable parameter data of network elements of a radio access network, and corrective parameter data corresponding to the misconfiguration data. The audit manager issues a reconfiguration action to the network elements, which instructs the network elements to reconfigure their current configurable parameter data based on the corrective parameter data. Following reconfiguration, the audit manager operates to monitor the network elements performance, e.g., to check for performance degradation of a cell site relative to previous performance metrics.

Abstract: The technologies described herein are generally directed toward link adaption for multistage messages. According to an embodiment, a system can comprise a processor and a memory that can enable operations facilitating performance of operations including determining that a control signal that was transmitted by the first device was not received by a second device, wherein the control signal comprises a first portion employing a first transmission scheme and a second portion employing a second transmission scheme. The operations can further include based on the determining that the control signal was not received by the second device, selecting a third transmission scheme for the second portion of the control signal. Further, the operations can include, based on a mapping of the third transmission scheme to a fourth transmission scheme in a mapping reference, selecting the fourth transmission scheme for the first portion of the control signal, and transmitting the control signal.

Abstract: Aspects of the subject disclosure may include, for example, connecting a user equipment to a first node of a first network to provide a service requested by the user equipment to the user equipment, obtaining a first measurement associated with the first node and a second measurement associated with a second node, responsive to the obtaining, detecting that the first measurement is less than a first threshold and the second measurement is greater than a second threshold, responsive to the detecting, identifying an application executed by the user equipment in obtaining the service, and responsive to determining that the application requires dual connectivity based on the identifying, commanding the user equipment to establish connectivity with the second node or a third node to provide at least a portion of the service. Other embodiments are disclosed.

Abstract: Methods, systems, and apparatuses, among other things, may provide for an interactive dynamic mapping engine (iDME) for business intelligence, which may interactively obtain information for user devices from sources and schema unknown to the user devices.

Abstract: Methods, apparatus and articles of manufacture for advertising network layer reachability information specifying a quality of service for an identified network flow are disclosed. Example methods disclosed herein to specify quality of service for network flows include receiving network layer reachability information including a first quality of service class specified for a first network flow, the network layer reachability information having been advertised by a first network element that is to receive the first network flow. Such example methods can also include updating an incoming packet determined to belong to the first network flow to indicate that the incoming packet belongs to the first quality of service class, the incoming packet being received from a second network element. Such example methods can further include, after updating the incoming packet, routing the incoming packet towards the first network element.