Abstract: The disclosed technology can repurpose a corrective action targeted for an original network device as a preemptive action for other network devices that are adjacent to the original network device. The other network devices are adjacent based on a shared service plan, a common geographic region, or another common criterion. In one example, the system receives an indication of an anomaly (e.g., pattern of activity) causing disruption to a service subscribed to by the user device on a network. The system selects a corrective action that is performed to remediate the disruption. In response to determining that the corrective action remediated the disruption, the system can progressively search adjacent devices for the same pattern of activity and perform the corrective action as a preemptive action for those adjacent devices.

Abstract: Techniques are described herein for applying a selective automated response to a distress call received at an emergency services system. The techniques include receiving a distress call from a user device in response to an emergency event. The distress call may be parsed to identify a location, an urgency index, and a nature of the emergency event. The distress call may be routed to an available dispatcher at a dispatcher terminal. Based at least on the location, the urgency index, and the nature of the emergency event, a response procedure to resolve the distress call may be identified. The dispatcher may communicate with a dispatched first responder at the location via a communication channel established between the dispatcher terminal and a mobile first responder terminal. The response procedure may be transmitted to the mobile first responder terminal.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for resource tracking and allocation are disclosed. In one aspect, a method includes the actions of receiving data that reflects characteristics of a user. The actions further include receiving data that reflects first medical resources that are available at a first healthcare facility. The actions further include receiving data that reflects second medical resources that are available at a second healthcare facility. The actions further include, based on the user data and medical resource data, determining whether to generate and output a recommendation for the user to visit the first or second healthcare facility. The actions further include, based on the user data and medical resource data, predicting the needs of the first and second healthcare facilities and generating and outputting recommendations to allocate medical resources according to those needs.

Abstract: Techniques are described herein for applying a selective automated response to a distress call received at an emergency services system. The techniques include receiving a distress call from a user device in response to an emergency event. The distress call may be parsed to identify a location, an urgency index, and a nature of the emergency event. The distress call may be routed to an available dispatcher at a dispatcher terminal. Based at least on the location, the urgency index, and the nature of the emergency event, a response procedure to resolve the distress call may be identified. The dispatcher may communicate with a dispatched first responder at the location via a communication channel established between the dispatcher terminal and a mobile first responder terminal. The response procedure may be transmitted to the mobile first responder terminal.

Abstract: Described herein are techniques for calculating a likelihood of infection for one or more individuals using heat maps. Such techniques may comprise receiving, in relation to an infectious disease, an indication of an infected individual, determining a first movement data for the infected individual, and updating density information included within one or more heat maps based on the first movement data for the infected individual. The techniques may further comprise determining a second movement data for at least one second individual and calculating a likelihood of infection for the at least one second individual based on the second movement data and the updated one or more heat maps.

Abstract: The techniques described herein build a device and/or update a configuration of the device so that the device is tailored for a particular use or a particular user. That is, the techniques may receive device configuration update information and generate instructions to send to the device so that the device can execute the configuration update.

Abstract: System and method of intelligent application diagnostics of a user device (UD). Upon every first time period, the key performance indicators (KPI's) of the processes running on the UD are determined. The top predetermined number (N) of processes that are using the most computing resources are filtered and their KPI's are stored in a local memory. The KPI's of the remaining processes are discarded. This process is repeated at every first time period. At every second time period, the filtered KPI's of every iteration of the first time period are retrieved from the local memory and sent to a remote monitoring server for analysis and storage. The filtered metrics are removed from the local memory.

Abstract: System and method of intelligent application diagnostics of a user device (UD). Upon every first time period, the key performance indicators (KPI's) of the processes running on the UD are determined. The top predetermined number (N) of processes that are using the most computing resources are filtered and their KPI's are stored in a local memory. The KPI's of the remaining processes are discarded. This process is repeated at every first time period. At every second time period, the filtered KPI's of every iteration of the first time period are retrieved from the local memory and sent to a remote monitoring server for analysis and storage. The filtered metrics are removed from the local memory.

Abstract: The techniques described herein build a device and/or update a configuration of the device so that the device is tailored for a particular use or a particular user. That is, the techniques may receive device configuration update information and generate instructions to send to the device so that the device can execute the configuration update.