Abstract:
A system and method for selecting an initial bandwidth setting. A determination is made that a client is initiating a communication session. Network conditions for the client are determined. A bandwidth setting for the client is selected utilizing the network conditions and a previous bandwidth setting saved in a memory. The communication session for the client is initiated utilizing the bandwidth seating.
Abstract:
A captive portal service offering system includes an advertising server hosting at least one captive portal service offering page, a registration server configured to provide user account information associated with a user account, and an interface device associated with the user account. The interface device is configured to retrieve, from the registration server, user account information. Based on the user account information, the interface device determines whether to present the at least one captive portal service offering page to the at least one client device. In response to the determination, the interface device directs at least one client device to the at least one captive portal service offering page. The interface device receives a user selection of the network service offered by the at least one captive portal service offering page and transmits the user selection to the registration server.
Abstract:
Novel tools and techniques are provided for implementing automated cloud expansion and ordering. Implementing automated cloud expansion and ordering might include monitoring cloud services and hardware operated by a cloud service provide. In some cases, monitoring may be periodically performed, while in other cases monitoring may be triggered by ordering of new cloud services by a subscriber. Based on a determination that hardware utilization is likely to exceed a predetermined threshold amount, the system might determine a number and type of new equipment, and to automatically generate and send purchase orders to vendor(s) for the new equipment. The system may also send work orders to technicians that include the site location, rack and slot identifiers, estimated equipment delivery dates and times, or the like. The system might also remotely (over a network) install software (including operating systems, software applications, and configuration files) on the new equipment.
Abstract:
Novel tools and techniques to enable data to be tested on subscriber set-top boxes. Some solutions can connect a sever with a group of subscriber set-top boxes through a television distribution network. In some cases, a plurality of set-top boxes are selected, and at least one set-top box is determined to be inactive. In some cases, data are loaded and tested on the inactive set-top.
Abstract:
Novel tools and techniques for providing an in-line AI virtual assistant are provided. A system includes a session border controller coupled to an end-user device, and a session initiation protocol stack. The session initiation protocol stack includes a processor, and non-transitory computer readable media comprising instructions executable by the processor to: receive, from the session border controller, a call invite request; provision, via the AI virtual assistant service, an AI virtual assistant instance in response to the call invite request; and join the AI virtual assistant instance to a call with the end-user device.
Abstract:
Novel tools and techniques for an IoT shell are provided. A system includes an internet of things (IoT) device, a database, and a license manager. The database may include one or more sets of authorized licenses, each set of authorized licenses associated with a respective vendor software. The license manager may be in communication with the IoT device and the database, and further include a processor and a non-transitory computer readable medium comprising instructions executable by the processor. The license manager may be configured to receive a request to reserve a license for a first vendor software, determine an availability of the license associated with the first vendor software, register a unique identifier of the IoT device in association with the license, and grant the license to the IoT device.
Abstract:
The present technology relates to improving computing services in a distributed network of remote computing resources, such as edge nodes in an edge compute network. In an aspect, the technology relates to a method that includes aggregating historical request data for a plurality of requests, wherein the aggregated historical request data a time of the request, a location of a device from which the request originated, and/or a type of service being requested. The method also incudes training a machine learning model based on the aggregated historical request data; generating, from the trained machine learning model, a prediction for a type of service to be request; identifying an edge node, from a plurality of edge nodes, based on a physical location of the edge node; and based on predicted service, allocating computing resources for the computing service on the identified edge node.
Abstract:
Novel tools and techniques for providing an in-line AI virtual assistant are provided. A system includes a session border controller coupled to an end-user device, and a session initiation protocol stack. The session initiation protocol stack includes a processor, and non-transitory computer readable media comprising instructions executable by the processor to: receive, from the session border controller, a call invite request; provision, via the AI virtual assistant service, an AI virtual assistant instance in response to the call invite request; and join the AI virtual assistant instance to a call with the end-user device.
Abstract:
Novel tools and techniques are described for auto-summarizing video and/or audio content. In some embodiments, a summary server might retrieve one or more time codes from a time code database, and might analyze the one or more time codes to determine at least one selected time code among the one or more time codes that exceeds a predetermined number of selections. The one or more time codes might correspond to one or more triggers, which might include user-inputted triggers, triggers associated with actions by a live audience, or broadcaster/distributor/producer-provided triggers (i.e., cue tones). The summary server might determine one or more selected segments of video or audio content corresponding to the at least one selected time code, and might create one or more summary tracks, where each of the one or more summary tracks might comprise each of the one or more selected segments of the video or audio content.
Abstract:
Novel tools and techniques are provided for provisioning network services, and, more particularly, to methods, systems, and apparatuses for implementing intelligent network services automation. In various embodiments, a computing system might receive one or more network performance metrics of one or more networks, might receive network usage data associated with the one or more networks, and might analyze, using one or more machine learning techniques, the received one or more network performance metrics and the received network usage data to determine whether the one or more networks can be improved in terms of network efficiency or network operations. Based on a determination that the one or more networks can be improved, the computing system might dynamically reconfigure at least one of one or more network connections within the one or more networks or one or more network resources within the one or more networks.