Abstract: As described herein, a system, method, and computer program are provided for orchestrating re-provisioning of network subscriber dedicated network slices. A request is received from an entity for use of a network. Network slice information indicating a plurality of slices of the network dedicated to a plurality of network subscribers is accessed. Provisioning of one of more slices of the plurality of slices to the entity is orchestrated, according to the request.

Abstract: As described herein, a system, method, and computer program are provided for orchestrating re-provisioning of network subscriber dedicated network slices. A request is received from an entity for use of a network. Network slice information indicating a plurality of slices of the network dedicated to a plurality of network subscribers is accessed. Provisioning of one of more slices of the plurality of slices to the entity is orchestrated, according to the request.

Abstract: Method and apparatus for using machine learning to monitor biometric data to provide intelligent alerts are provided. At a first moment in time, first biometric data for a plurality of users are received from a plurality of sensor devices. A group metric is generated by processing the first biometric data using at least one trained machine learning model, and it is determined that the group metric does not satisfy one or more predefined criteria. At a second moment in time, second biometric data for the plurality of users is received from the plurality of sensor devices, and an updated group metric is generated by processing the second biometric data using the at least one trained machine learning model. Upon determining that the updated group metric satisfies the one or more predefined criteria, an indication is provided that the one or more predefined criteria have been satisfied.

Abstract: A computer-implemented method for providing contextual outputs based on varying coordinates related to a target event is provided. The method is implemented by a processor. The processor receives the target event based on a user input and the varying coordinates. The processor then executes a semantic analysis and relationships building operation on the varying coordinates and the target event to generate proposals and provides the contextual outputs based on the proposals. Note that the semantic analysis and relationships building operation reduces recommendation errors by and increases a computing efficiency of the processor with regard to providing the contextual outputs.

Abstract: A computer-implemented method for providing contextual outputs based on varying coordinates related to a target event is provided. The method is implemented by a processor. The processor receives the target event based on a user input and the varying coordinates. The processor then executes a semantic analysis and relationships building operation on the varying coordinates and the target event to generate proposals and provides the contextual outputs based on the proposals. Note that the semantic analysis and relationships building operation reduces recommendation errors by and increases a computing efficiency of the processor with regard to providing the contextual outputs.

Abstract: First information is captured based on monitoring interactions between a user of a communication device and multiple entities. Second information is determined based on monitoring a schedule including upcoming scheduled activities. An incoming call indication and at least a calling phone number related to an incoming call for the communication device are received. Contextual information related to at least the calling phone number and a relevance factor indicating a level of relevance of the incoming call are determined based on the first information and the second information. An indication of the incoming call, the contextual information, and the relevance factor are provided on the communication device.

Abstract: A method for selecting an optimal browser to launch a URL via an iterative process. A distance is calculated between a value of a performance parameter for each browser and a mean of each cluster of browsers. Each browser is assigned to a cluster having the smallest distance. The mean of each cluster is re-determined. The iterative process continues until the mean of each cluster is identical to the immediately preceding mean of the cluster. Next, a cluster is chosen based on which cluster is closer to an origin point. An optimal browser is chosen from the chosen cluster based on which browser is closest to the origin point. A message is provided to a user to prompt the user to launch a website on the chosen browser and an action to launch the chosen browser to display the website is detected.

Abstract: Method and apparatus for using machine learning to monitor biometric data to provide intelligent alerts are provided. At a first moment in time, first biometric data for a plurality of users are received from a plurality of sensor devices. A group metric is generated by processing the first biometric data using at least one trained machine learning model, and it is determined that the group metric does not satisfy one or more predefined criteria. At a second moment in time, second biometric data for the plurality of users is received from the plurality of sensor devices, and an updated group metric is generated by processing the second biometric data using the at least one trained machine learning model. Upon determining that the updated group metric satisfies the one or more predefined criteria, an indication is provided that the one or more predefined criteria have been satisfied.

Abstract: A method and system is provided for selecting an optimal browser to launch a URL via an iterative process. A distance is calculated between a value of a performance parameter for each browser and a mean of each cluster of browsers. Each browser is assigned to a cluster having the smallest distance. The mean of each cluster is re-determined. The iterative process continues until the mean of each cluster is identical to the immediately preceding mean of the cluster. Next, a cluster is chosen based on which cluster is closer to an origin point. An optimal browser is chosen from the chosen cluster based on which browser is closest to the origin point. A message is provided to a user to prompt the user to launch a website on the chosen browser and an action to launch the chosen browser to display the website is detected.