Avaya Inc.

Nortel Networks Corporation

Apple Inc.

Nortal Networks Limited

Thomas J Moran

Gerard Carty

Neil O'Connor

John P McSweeney

Paul D'Arcy

John Joseph Costello

Liam Loftus

Ronan Fox

David Murray

Shmuel Shaffer

Paul Roller Michaelis

Joylee E Kohler

Luciano Godoy Fagundes

Francois Audet

Peter Flannery

Enda Dooley

Dhaval Desai

James Harkin

Paul Enright

Thomas Macnamara

Ciaran Kelly

Oliver Daniels

Hugh Tynan

Contact center agents commonly have dissimilar levels of skill for a particular topic or ability. Often an expert is available to help lesser-skilled agents, but such experts may not always be available. Automated systems and methods are provided that allow for an agent-customer interaction to be monitored and, when a question is present, identify a best-matching knowledge unit to address the question. With the knowledge unit identified, a prior communication portion associated with the knowledge unit is then presented to the agent, such as via pop-up message, whisper voice message, etc., to allow the agent to have the benefit of the knowledge of the expert to answer the question without engaging the expert.

Automatic message generation and presentation to a communication node engaged in a communication

Artificial agents utilized for voice interactions continue to improve in their capacity to conduct more sophisticated interactions. Rather than just presenting a limited set of options, artificial agents are continuing to narrow the gap between generated speech and natural human speech. A requirement is often in place that spoken interactions be recorded, however, storing speech, even with data compression, is a resource-demanding task. Generated speech may be provided from content, such as text, and speech data. By recording an identifier of the content and associated speech data, storage processing and space requirements can be greatly reduced. Playback may be provided from a waveform of audio provided by the human participant and by selecting the content associated with the content identifier and generating speech of the content utilizing settings provided by the speech data.

Audio recording optimization for calls serviced by an artificial intelligence agent

A contact center includes: a microprocessor; a computer readable medium, coupled to the microprocessor, to retrieve, store, and manage desktop analytic data that describes the current state of an agent's desktop. The current state of the agent's desktop can be reported to a contact center where that information can be used as additional information in assigning contacts to the agent. The contact may be sent to the agent having documentation or information readily accessible to response to the issue associated with the contact.

Agent efficiency based on real-time desktop analytics

A video stream of a video call between a communication endpoint of customer and a communication endpoint of a contact center agent is received. The video stream of the video call is processed in real-time to generate a real-time emotion transcript. The real-time emotion transcript tracks a plurality of separate emotions based on non-verbal expressions (e.g. facial expressions) that occur in the video stream of the video call. For example, different emotions of both the customer and the contact center agent may tracked in the real-time emotion transcript. The real-time emotion transcript is compared to an emotion transcript of at least one previous video call to determine if the video call should be handled differently in the contact center. In response to determining that video call should be handled differently in the contact center, an action determined to change how the video call is managed in the contact center.

Video call routing and management based on artificial intelligence determined facial emotion

A computing system for managing one or more communication interrupts during a communication session associated with a resource in an enterprise is disclosed. The computing system includes a monitoring module for monitoring one or more parameters of the communication session. The system further includes a database for storing the one or more monitored parameters. The system further includes a determination module for determining at least one participation score for the resource based on the one or more stored parameters. The system further includes a control module for controlling the one or more communication interrupts based on the at least one determined participation score.

System and method for managing communication interrupts in an enterprise

A plurality of nodes on a network may be utilized to communicate with external nodes outside of the plurality. The removal from service of a number of the plurality of nodes may cause the network to become ineffective or inoperable. Nodes may be monitored to determine a predicated out-of-service condition and mitigating actions taken. For example, if an operator of a node is likely to be unable to provide required inputs to the node, another node with associated operator may be allocated to become available at a timely predicted to coincide with the outage of the monitored node. Other mitigating actions may also be utilized, such as reassigning the physical location of the monitored node.

Predictive network node allocation

A process for updating a second agent about a call in a contact center comprises receiving a call at the contact center and connecting the call to a device associated with a first agent of the contact center. A processor is used to configure a list of keywords to detect during the call, and when a key word is detected (e.g., using a speech analyzer), a snippet of the call based on the detected keywords is identified. The snippets are presented to a second agent through a device associated with the second agent. The call is then connected to the device associated with the second agent.

Real-time speech feed to agent greeting

A document is often the impetus for a customer to call a contact center. Customers may have access to a video camera which may be utilized to capture an image of the document without requiring the customer to take any action beyond positioning the document in view of the camera. The contact center then determines the video image comprises text, extracts the text, and matches the text to a document. An agent is then selected having an ability to process work items associated with the identified document. The call is then routed to the selected agent.

Document detection and analysis-based routing

A system for providing Payment Card Industry (PCI) compliance for a contact center is disclosed. The system includes a monitoring module configured to monitor a communication session between an agent and a customer. At least one image associated with the agent's computer screen is captured during the communication session. An analysis module is configured to compare the at least one image with at least one predefined image. A control module is configured to control a recording of information associated with the communication session based on the comparison.

System and method for payment card industry compliance

A contact center, communication system, and method are disclosed. An illustrative contact center includes a conversational analysis engine that is applied to media exchanged between a customer and a first agent during a first interaction and determines a context of the first interaction. The illustrative contact center further includes a repository of greetings for a second agent and a greeting from the repository of greetings for the second agent is selectable based on the determined context of the first interaction. The illustrative contact center further includes a network interface that facilitates a presentation of the selected greeting to the customer when the customer is transferred from the first agent to the second agent.

Dynamic agent greeting based on prior call analysis

As technology advances, customer-agent interactions require adoption of the new technologies to remain useful to customers and cost effective to contact centers. Virtual reality technology allows a customer to virtually tour a remote location and optionally interact with an agent during the virtual tour. The agent and/or customer may select virtual reality elements, including a recording of the interaction itself, to be triggered upon the customer, with a location enabled customer device, being located in the real-world at a corresponding virtual location in which the virtual reality element was created. The virtual reality element may be automatically presented and the presentation may be a full virtual reality presentation, an augmented reality presentation, or a converted presentation, such as to a more conventional format.

Intelligent contact recording in a virtual reality contact center

A process for updating a second agent about a call in a contact center comprises receiving a call at the contact center and connecting the call to a device associated with a first agent of the contact center. A processor is used to configure a list of keywords to detect during the call, and when a key word is detected (e.g., using a speech analyzer), a snippet of the call based on the detected keywords is identified. The snippets are ordered and presented to a second agent through a device associated with the second agent. The call is then connected to the device associated with the second agent.

Managing resources in a contact center including assigning each resource to one of a first set of resources each comprising a proficiency level above a first threshold for a first resource attribute, or a second set of resources each comprising a proficiency level below the first threshold for the first resource attribute and a proficiency level above a second threshold for a second resource attribute. An expected number of contacts requiring resources possessing one of the first or second resource attribute is predicted for a time period, and a correlation between the first and second resource attribute is identified. Based on the correlation, a minimum number of resources from each set required to handle the expected number of contacts at a predetermined service level for the time period is forecasted. The minimum number of resources from the first set is less than a number of resources required without the correlation.

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Co. Galway, Ireland

Thomas J Moran