Abstract: Described is a method performed by a computing device for generating policies for improving network system performance, the method comprising: receiving operational data from a network device; processing the operational data from the network device to generate a Wi-Fi management policy; merging the Wi-Fi management policy, a mobile device policy, and a user preference or user policy to generate a unified policy; and sending the unified policy to the network device for network management.

Abstract: A software application executing on a server and communicating with an agent in a wireless access point predicts a type of a computing device wirelessly connected via a radio frequency link to the wireless access point. The application receives an indication of a model of the computing device from the wireless access point, and further receives one or more characteristics of the computing device from the wireless access point. The application then predicts the type of the computing device associated with the one or more of the indication of the model, and characteristics, of the computing device.

Abstract: A software application executing on a server and communicating with an agent in a wireless access point predicts a type of a computing device wirelessly connected via a radio frequency link to the wireless access point. The application receives an indication of a model of the computing device from the wireless access point, and further receives one or more characteristics of the computing device from the wireless access point. The application then predicts the type of the computing device associated with the one or more of the indication of the model, and characteristics, of the computing device.

Abstract: Described is a method performed by a computing device for controlling home network system associated with a plurality of Wi-Fi communicating devices, the method comprising: analyzing operational data associated with the plurality of Wi-Fi communicating devices, the operational data collected from plurality of Wi-Fi communicating devices; providing (or generating) recommendations for improving performance of the home network system according to the analyzed operational data; correlating the recommendations into groups; and aggregating the recommendations from the groups to generate unified recommendations for improving the home network system.

Abstract: Described is a method performed by a computing device for controlling home network system associated with a plurality of Wi-Fi communicating devices, the method comprising: analyzing operational data associated with the plurality of Wi-Fi communicating devices, the operational data collected from plurality of Wi-Fi communicating devices; providing (or generating) recommendations for improving performance of the home network system according to the analyzed operational data; correlating the recommendations into groups; and aggregating the recommendations from the groups to generate unified recommendations for improving the home network system.

Abstract: A chum predictor predicts whether a customer is likely to chum. The chum predictor is built and trained from data collected from mul-tiple customers. The data can include static configuration data and dynamic measured data. A chum predictor builder generates multiple customer in-stances and processes the instances based on the collected data, and based on separating the instances into one or more training subsets. Based on the pro-cessing, the builder generates and saves a chum predictor. The chum predictor can access data for a customer and generate a customer instancance and generates a chum likelihood score. Based on a chum type, the chum predictor system can generate preventive action for the customer.

Abstract: Systems and methods provide for a server coupled to a wireless local area network (WLAN) or an agent to receive an input from a device. The input causes the server or the agent to select either the WLAN or devices coupled to the WLAN for which to report current performance and usage information and historical performance and usage information. Based on the selection, the information is retrieved at the server or the agent and transmitted to the device.

Abstract: A software application executing on a server and communicating with an agent in a wireless access point predicts a type of a computing device wirelessly connected via a radio frequency link to the wireless access point. The application receives an indication of a model of the computing device from the wireless access point, and further receives one or more characteristics of the computing device from the wireless access point. The application then predicts the type of the computing device associated with the one or more of the indication of the model, and characteristics, of the computing device.

Abstract: A server coupled in communication with the WLAN, or an agent executing on at least one of the plurality of devices, receives input from the device to select one or more of the WLAN and the plurality of devices for which to report the current, and historical, performance and usage information to the device. A server or the agent retrieves the historical performance and usage information for the selected one or more of the WLAN and the plurality of devices. The server or the agent further retrieves the current performance and usage information from the selected one or more of the WLAN and the plurality of devices. The server, or the agent, transmits for presentation in a graphical user interface (GUI) on a display screen of the device, the current, and historical, performance and usage information for the selected one or more of the WLAN and the plurality of devices.

Abstract: Described is a method performed by a computing device for controlling home network system associated with a plurality of Wi-Fi communicating devices, the method comprising: analyzing operational data associated with the plurality of Wi-Fi communicating devices, the operational data collected from plurality of Wi-Fi communicating devices; providing (or generating) recommendations for improving performance of the home network system according to the analyzed operational data; correlating the recommendations into groups; and aggregating the recommendations from the groups to generate unified recommendations for improving the home network system.

Abstract: A software application executing on a server and communicating with an agent in a wireless access point predicts a type of a computing device wirelessly connected via a radio frequency link to the wireless access point. The application receives an indication of a model of the computing device from the wireless access point, and further receives one or more characteristics of the computing device from the wireless access point. The application then predicts the type of the computing device associated with the one or more of the indication of the model, and characteristics, of the computing device.

Abstract: Described is a method performed by a computing device for controlling home network system associated with a plurality of Wi-Fi communicating devices, the method comprising: analyzing operational data associated with the plurality of Wi-Fi communicating devices, the operational data collected from plurality of Wi-Fi communicating devices; providing (or generating) recommendations for improving performance of the home network system according to the analyzed operational data; correlating the recommendations into groups; and aggregating the recommendations from the groups to generate unified recommendations for improving the home network system.

Abstract: Described is a method performed by a computing device for generating policies for improving network system performance, the method comprising: receiving operational data from a network device; processing the operational data from the network device to generate a Wi-Fi management policy; merging the Wi-Fi management policy, a mobile device policy, and a user preference or user policy to generate a unified policy; and sending the unified policy to the network device for network management.

Abstract: Described is a method performed by a computing device for generating policies for improving network system performance, the method comprising: receiving operational data from a network device; processing the operational data from the network device to generate a Wi-Fi management policy; merging the Wi-Fi management policy, a mobile device policy, and a user preference or user policy to generate a unified policy; and sending the unified policy to the network device for network management.

Abstract: A software application executing on a server and communicating with an agent in a wireless access point predicts a type of a computing device wirelessly connected via a radio frequency link to the wireless access point. The application receives an indication of a model of the computing device from the wireless access point, and further receives one or more characteristics of the computing device from the wireless access point. The application then predicts the type of the computing device associated with the one or more of the indication of the model, and characteristics, of the computing device.

Abstract: A software application executing on a server and communicating with an agent in a wireless access point predicts a type of a computing device wirelessly connected via a radio frequency link to the wireless access point. The application receives an indication of a model of the computing device from the wireless access point, and further receives one or more characteristics of the computing device from the wireless access point. The application then predicts the type of the computing device associated with the one or more of the indication of the model, and characteristics, of the computing device.

Abstract: Described are an apparatus, system, and method for method for validating a broadband service for recommendation. The method comprises: collecting data associated with the broadband service; evaluating the collected data for service recommendations, the service recommendations including upgrades and downgrades to the broadband service; and validating broadband service recommendations, in response to evaluating the collected data, before presenting the broadband service recommendations to user of the broadband service.

Abstract: A server coupled in communication with the WLAN, or an agent executing on at least one of the plurality of devices, receives input from the device to select one or more of the WLAN and the plurality of devices for which to report the current, and historical, performance and usage information to the device. A server or the agent retrieves the historical performance and usage information for the selected one or more of the WLAN and the plurality of devices. The server or the agent further retrieves the current performance and usage information from the selected one or more of the WLAN and the plurality of devices. The server, or the agent, transmits for presentation in a graphical user interface (GUI) on a display screen of the device, the current, and historical, performance and usage information for the selected one or more of the WLAN and the plurality of devices.

Abstract: Described is a method performed by a computing device for controlling home network system associated with a plurality of Wi-Fi communicating devices, the method comprising: analyzing operational data associated with the plurality of Wi-Fi communicating devices, the operational data collected from plurality of Wi-Fi communicating devices; providing (or generating) recommendations for improving performance of the home network system according to the analyzed operational data; correlating the recommendations into groups; and aggregating the recommendations from the groups to generate unified recommendations for improving the home network system.

Abstract: Described is a method performed by a computing device for generating policies for improving network system performance, the method comprising: receiving operational data from a network device; processing the operational data from the network device to generate a Wi-Fi management policy; merging the Wi-Fi management policy, a mobile device policy, and a user preference or user policy to generate a unified policy; and sending the unified policy to the network device for network management.