Abstract: System and methods include obtaining Wi-Fi network data, over the Internet, associated with a plurality of Wi-Fi networks each Wi-Fi network having one or more access points and each Wi-Fi network being associated with a customer of one or more service providers and obtaining customer data for each customer associated with the plurality of Wi-Fi networks, the customer data including call-ins made by customers; aggregating and filtering the data; analyzing the aggregated and filtered data including correlating the call-ins made by customers to the Wi-Fi network data; predicting customer call-ins based on correlations made between the call-ins made by customers and the Wi-Fi network data; and initiating a customer outreach workflow prior to a predicted customer call-in.

Abstract: System and methods include obtaining data, over the Internet, associated with a plurality of Wi-Fi networks each Wi-Fi network having one or more access points and each Wi-Fi network being associated with a customer of one or more service providers; aggregating and filtering the data; analyzing the aggregated and filtered data based on one or more use cases; determining any of predictions and alerts for the one or more use cases based on the analyzing; and performing one or more actions based on the any of predictions and alerts.

Abstract: System and methods for managing a Wi-Fi network of a plurality of Wi-Fi networks from a cloud-based Network Operations Control (NOC) dashboard include, subsequent to creating an account for a user of the Wi-Fi network, receiving data associated with the Wi-Fi network from the one or more access points; providing a display associated with the Wi-Fi network based on the data, wherein the display comprises a network topology and one or more tabs providing information related to operation of the Wi-Fi network; updating the display based on one or more inputs received, wherein the updating updates one or more of the network topology and the one or more tabs; and performing one or more operations via the NOC dashboard to one of manage, control, and troubleshoot the Wi-Fi network.

Abstract: System and methods include obtaining Wi-Fi network data, over the Internet, associated with a plurality of Wi-Fi networks each Wi-Fi network having one or more access points and each Wi-Fi network being associated with a customer of one or more service providers and obtaining customer data for each customer associated with the plurality of Wi-Fi networks, the customer data including call-ins made by customers; aggregating and filtering the data; analyzing the aggregated and filtered data including correlating the call-ins made by customers to the Wi-Fi network data; predicting customer call-ins based on correlations made between the call-ins made by customers and the Wi-Fi network data; and initiating a customer outreach workflow prior to a predicted customer call-in.

Abstract: Systems and methods include obtaining measurements from a Wi-Fi network that includes i) a plurality of access points interconnected to one another and at least one connected to a gateway, and ii) a plurality of Wi-Fi client devices that each connect to an access point of the plurality of access points; learning usage patterns in the Wi-Fi network through analysis with one or more machine learning algorithms; and providing a configuration to the Wi-Fi network based on the learned usage pattern where the configuration includes a topology of the plurality of access points.

Abstract: System and methods include obtaining data, over the Internet, associated with a plurality of Wi-Fi networks each Wi-Fi network having one or more access points and each Wi-Fi network being associated with a customer of one or more service providers; aggregating and filtering the data; analyzing the aggregated and filtered data based on one or more use cases; determining any of predictions and alerts for the one or more use cases based on the analyzing; and performing one or more actions based on the any of predictions and alerts.

Abstract: Disclosed are systems and methods that provide a computerized application management framework that adaptively configures application usage and/or network parameters/characteristics at a location based on determined intelligence about the network, devices executing therein/therearound and behavioral patterns of users in/around the location. The disclosed framework can leverage information related to network capacity and coverage against network activity (e.g., upload/download, streaming, and the like) of devices connected to the network to determine i) which applications are to be prioritized, and/or ii) which devices operating such applications should be prioritized. Thus, the framework provides mechanisms for dynamically managing operations of devices connected to a network and applications executing on such devices that rely on such network connection, such that their network usage can be adaptively controlled to ensure network stability and integrity for prioritized operations.

Abstract: A Wi-Fi network includes one or more access point devices configured to connect to one or more devices; wherein the Wi-Fi network is designated by a Service Set Identifier (SSID); wherein each Wi-Fi client device accesses the Wi-Fi network using the SSID and a key of a plurality of keys each being a password or certificate for the Wi-Fi network; and wherein each of the plurality of keys designates an access zone of a plurality of access zones each defining rules for network and/or device access such that the one or more access point devices provide selective access based on which of the plurality of keys is used for each of the one or more devices.

Abstract: System and methods include obtaining data, over the Internet, associated with a plurality of Wi-Fi networks each Wi-Fi network having one or more access points and each Wi-Fi network being associated with a customer of one or more service providers; aggregating and filtering the data; analyzing the aggregated and filtered data for Wi-Fi metric based alarms, each Wi-Fi metric based alarm being associated with detection of one of an offline Wi-Fi network of the plurality of Wi-Fi networks, an offline node of the Wi-Fi network, instability of the Wi-Fi network, congestion in the Wi-Fi network, and interference in the Wi-Fi network; determining the Wi-Fi metric based alarms based on the analyzing; and performing one or more actions based on the determined Wi-Fi metric based alarms.

Abstract: A Wi-Fi network includes one or more access point devices configured to connect to one or more devices; wherein the Wi-Fi network is designated by a Service Set Identifier (SSID); wherein each Wi-Fi client device accesses the Wi-Fi network using the SSID and a key of a plurality of keys each being a password or certificate for the Wi-Fi network; and wherein each of the plurality of keys designates an access zone of a plurality of access zones each defining rules for network and/or device access such that the one or more access point devices provide selective access based on which of the plurality of keys is used for each of the one or more devices.

Abstract: Systems and methods for visualization and troubleshooting of a distributed Wi-Fi network, implemented through one of a mobile application and a web page, include, responsive to obtaining data from the distributed Wi-Fi network, providing a map of the distributed Wi-Fi network based on the obtained data, wherein the map includes a first icon designating a gateway node, one or more second icons each designating one or more nodes, and connectors between the gateway node, wherein the gateway node and the one or more nodes are in a tree topology; providing a visualization in the map based on a current operational status of the distributed Wi-Fi network from the obtained data, wherein the visualization comprises a plurality of visual indicators of the current operational status; and providing notifications based on the current operational status.

Abstract: Systems and methods include obtaining measurements from a Wi-Fi network that includes i) a plurality of access points interconnected to one another and at least one connected to a gateway, and ii) a plurality of Wi-Fi client devices that each connect to an access point of the plurality of access points; learning usage patterns in the Wi-Fi network through analysis with one or more machine learning algorithms; and providing a configuration to the Wi-Fi network based on the learned usage pattern where the configuration includes a topology of the plurality of access points.

Abstract: Systems and methods include obtaining measurements from a Wi-Fi network that includes one or more access points; determining a configuration of the Wi-Fi network based on the measurements, wherein the configuration includes one or more of i) steering a client device to associate with a specific access point of the one or more access points and ii) steering the client device to connect to a specific frequency band of the one or more access points; and providing the configuration to the Wi-Fi network for implementation thereof.

Abstract: Systems and methods include obtaining operational data for a Wi-Fi network including one or more access points providing wireless connectivity to one another and to one or more Wi-Fi client devices; determining a Quality of Experience (QoE) measurement from the operational data for each of the one or more access points and the one or more Wi-Fi client devices; and providing a display of associated QoE measurements for the one or more access points and the one or more Wi-Fi client devices. The systems and methods can include providing the display in real-time or near real-time to troubleshoot or debug operations of the Wi-Fi network.

Abstract: Systems and methods implemented through a user device, for claiming network devices for a home network in a distributed Wi-Fi network includes discovering a newly powered on access point; claiming the newly powered on access point for the home network; and relaying the claimed newly powered on access point to a cloud controller via a disjoint network from the home network, wherein the home network is restricted by the cloud controller to only operate with claimed access points. The discovering, the claiming, and the relaying can be performed by a mobile application executed on the user device.

Abstract: System and methods include obtaining data, over the Internet, associated with a plurality of Wi-Fi networks each Wi-Fi network having one or more access points and each Wi-Fi network being associated with a customer of one or more service providers; aggregating and filtering the data; analyzing the aggregated and filtered data for Wi-Fi metric based alarms, each Wi-Fi metric based alarm being associated with detection of one of an offline Wi-Fi network of the plurality of Wi-Fi networks, an offline node of the Wi-Fi network, instability of the Wi-Fi network, congestion in the Wi-Fi network, and interference in the Wi-Fi network; determining the Wi-Fi metric based alarms based on the analyzing; and performing one or more actions based on the determined Wi-Fi metric based alarms.

Abstract: System and methods include obtaining Wi-Fi network data, over the Internet, associated with a plurality of Wi-Fi networks each Wi-Fi network having one or more access points and each Wi-Fi network being associated with a customer of one or more service providers and obtaining customer data for each customer associated with the plurality of Wi-Fi networks, the customer data including call-ins made by customers; aggregating and filtering the data; analyzing the aggregated and filtered data including correlating the call-ins made by customers to the Wi-Fi network data; predicting customer call-ins based on correlations made between the call-ins made by customers and the Wi-Fi network data; and initiating a customer outreach workflow prior to a predicted customer call-in.

Abstract: System and methods include obtaining data, over the Internet, associated with a plurality of Wi-Fi networks each Wi-Fi network having one or more access points and each Wi-Fi network being associated with a customer of one or more service providers; aggregating and filtering the data; analyzing the aggregated and filtered data for a condition of each of the plurality of Wi-Fi networks; determining one or more resolutions for the condition of a Wi-Fi network of the plurality of Wi-Fi networks; and initiating a customer outreach workflow to provide the one or more resolutions to the customer associated with the Wi-Fi network.

Abstract: Systems and methods include obtaining operational data for a Wi-Fi network including one or more access points providing wireless connectivity to one another and to one or more Wi-Fi client devices; determining a Quality of Experience (QoE) measurement from the operational data for each of the one or more access points and the one or more Wi-Fi client devices; and providing a display of associated QoE measurements for the one or more access points and the one or more Wi-Fi client devices. The systems and methods can include providing the display in real-time or near real-time to troubleshoot or debug operations of the Wi-Fi network.

Abstract: System and methods include obtaining data, over the Internet, associated with a plurality of Wi-Fi networks each Wi-Fi network having one or more access points and each Wi-Fi network being associated with a customer of one or more service providers; aggregating and filtering the data; analyzing the aggregated and filtered data based on one or more use cases; determining any of predictions and alerts for the one or more use cases based on the analyzing; and performing one or more actions based on the any of predictions and alerts.