A method of adjusting user experience on a social networking service includes setting a data-usage threshold for a plurality of features in the social networking service, providing the plurality of features to a user of the social networking service at an initial quality of service, and monitoring data usage by the user during a period of time in which the plurality of features is provided to the user. The method further includes, in response to a determination that the data usage by the user during the period of time satisfies the data-usage threshold: (1) reducing the quality of service for the user for one or more features of the plurality of features, and (2) providing the one or more features to the user at the reduced quality of service.

A personal digital assistant device includes: a memory storing an interactive personal digital assistant program and a processor configured to execute the interactive personal digital assistant program. The interactive personal digital assistant program performs an operation to determine whether the service provider is automated or is not automated. The interactive personal digital assistant program is configured to issue a command to the service provider on behalf of a user of the device, when it is determined that the service provider is automated. The interactive personal digital assistant program is configured to issue an alert on the device when it is determined that the service provider is not automated. The interactive personal digital assistant program may continue until the goal of the interaction is met or human help is sought.

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.

An example method of traffic control in a communication network includes the operations of: receiving, by a processing device, a message associated with a communication address of a party originating the message; determining a class of service associated with the communication address; identifying a network resource locator contained in the message; responsive to detecting, in a chain of redirects associated with the network resource locator, an identifier of a related entity represented by one of: a trusted entity or a known bad actor, adjusting the class of service based on the related entity; selecting one or more links having their respective reliabilities corresponding to the adjusted class of service; and forwarding the message via the one or more links.

Pre-emptive configuration of a fog computing environment for on-demand services is provided. On-demand services are supported by service modules. Traffic related to demand for service modules is monitored and evaluated. The modules are selectively pushed to and removed from edge servers in a fog computing environment in order to efficiently service the demand for machine translation services.

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.

Sales people (agents) get engaged with a lot of contacts from past, present and future prospects that manifests on multiple contact platforms. They end up having their contacts and calendars split in multiple places including communication and messages leading to inefficiencies, loss of business and delayed response time to the end customer. Customer Relationship Management today is still a one dimensional tool, one that featured Email as the core for direct agent-client relationship. CRM should be redefined and relabeled as Communication Management to open up the idea that relationships with clients are developed across multiple platforms though multiple channels. As will be understood by reading below, the invention accomplishes this in an elegant manner. The phrases Communication Management in the main patent title and Customer Relationship Management (CRM) have the same semantics in this document.

A system for managing event streams is provided that includes a volatile memory, a non-volatile memory, and a processor. The volatile memory is configured to store, for each of a plurality of event streams associated with the client device, metadata indicative of events not yet delivered to a client device and the content associated with only a most recent event of the event stream. The non-volatile memory is configured to store the content associated with each of undelivered events. The processor is configured to, upon receiving a request from the client device, retrieve from the volatile memory, without accessing the non-volatile memory, data indicative of a current state of an event stream associated with the client device. The processor is further configured to deliver the retrieved data indicative of the current state of the event stream.

An automated contact center agent mobile device client infrastructure testing system comprising a mobile device command repository is disclosed. The system also has a mobile device control module that retrieves mobile device commands from the repository, receives instructions, data, and parameters for contact center device testing, runs predesignated contact center device test suites on at least one mobile device, receives contact center device test suite result data from mobile devices, and forwards the contact center device test suite result data received from mobile devices to a contact center device test manager system.

A system for managing event streams is provided that includes a volatile memory, a non-volatile memory, and a processor. The volatile memory is configured to store, for each of a plurality of event streams associated with the client device, metadata indicative of events not yet delivered to a client device and the content associated with only a most recent event of the event stream. The non-volatile memory is configured to store the content associated with each of undelivered events. The processor is configured to, upon receiving a request from the client device, retrieve from the volatile memory, without accessing the non-volatile memory, data indicative of a current state of an event stream associated with the client device. The processor is further configured to deliver the retrieved data indicative of the current state of the event stream.