A method for seamlessly remote monitoring an availability of a published remote resource on a host is disclosed. The method comprises: sending, from a remote monitoring entity, monitoring commands to the host, via a Remote Display Session (RDS) between the remote monitoring entity and the host, the RDS executing on a web page loaded by a headless browser running on the remote monitoring entity; and determining one or more availability parameters that are indicative of the availability of the published remote resource, by the remote monitoring entity, based on results of execution of the monitoring commands by the host.

Disclosed is a method, system, and non-transitory computer-readable record medium for providing a plurality of group calls in a single chatroom. A group call providing method including receiving, by the at least one processor, information about a plurality of group call channels generated in response to a first request from at least one member included in a chatroom, from a server, providing, by the at least one processor, a group call channel list about the plurality of group call channels through the chatroom based on the information about the plurality of group call channels, and starting, by the at least one processor, a group call through a specific group call channel, from among the plurality of group call channels, in response to receiving a second request for joining the specific group call channel through the group call channel list may be provided.

A communication system including a registry, a traffic service-level classifier, and a network traffic controller receives messages from a communication address, and performs a proactive address verification process to determine a class of service for the network traffic controller to utilize for the communication address, thereby unlocking additional functionality for the communication address on the network.

A service manager for managing services made available to front end devices operably connected to backend devices via managed network devices includes a storage device for storing a services network use information repository that associates the services with network functions enabled by the managed network devices and a processor. The processor makes an identification of a front end device of the front end devices that will provide virtualized desktop infrastructure services, using at least one of the backend devices, to a user; in response to the identification: identifies a set of the services to be provided to the user; identifies: at least one of the managed network devices that provides network connectivity to the front end device, and network use information for the set of services using the services network use information repository; and configures the at least one managed network device based on the network use information.

A communication system including a registry, a traffic service-level classifier, and a network traffic controller receives messages from a communication address, and performs a proactive address verification process to determine a class of service for the network traffic controller to utilize for the communication address, thereby unlocking additional functionality for the communication address on the network.

The present disclosure facilitates improving the operation of a cloud service by updating its configuration information and its resource requirements. The resource utilization of the cloud service can be monitored, and a decision logic module can determine whether action is required. When action is required, an update can be prepared and applied, and notifications can be generated about the condition and its resolution. Resolutions can require correlation of multiple cloud services to provide real-time access to information that is not otherwise available to a single entity. Resolutions can be learned and predicted in a number of ways using a predictive engine.

A system and method for testing of automated contact center customer response systems using a customer response testing system and a real time conversation engine, wherein the customer response testing system generates simulated human queries using persona profiles, sends test cases containing those queries to a contact center under test, and receives and analyzes the responses to determine whether the contact center's automated response systems understand the queries and respond appropriately.

A mobile dashboard for automated contact center testing gives up-to-the-minute status reports on your customer experience, enabling you to make operational decisions and drill down to the source of an issue while on the go. A mobile-optimized executive dashboard display can be customized for each unique user, so business and technical stakeholders can filter the display for the customer experience (CX) metrics that are most relevant to them, and configure push notification alerts accordingly.

Provided herein are system, methods and computer program products for using a bot server for initiating and controlling bot instances, specifically conversation bot instances at client devices for interacting with users associated with the client devices. The bot server may communicate with a remote cloud service providing bot services for initiating and operating the bot instances to retrieve logic metadata used to control the bot instances and may use this metadata to initiate and control one or more bot instances at the client devices to interact with the associated users. In particular, the bot server may be deployed at a network edge in close network proximity to the client devices.

The present disclosure relates generally to facilitating two-way communications. One example involves receiving input data as part of a two-way communication session associated with a plurality of bots, accessing confidence scores from the bots. Mapped scores are then generated for the plurality of bots from the confidence scores using a bot score mapper. A selected bot is identified using the mapped scores, and the two-way communication session is facilitated using the selected bot. Further, techniques are provided to track performance of the selected bot and dynamically updated mapping adjustments in the bot score mapper using feedback and machine learning systems.