Other

Sykes Enterprises, Incorporated

Foundever Operating Corporation

J Brooke Aker

David Spencer Pearson

J Shelton Hook, Jr

Stephen Berdy

Richard Sadowski

Joseph Flaska

Eric G Palacio

Martin Hendrickse

Ryan R Cannon

John Romania

James P Somers

Matthew Peter Christensen

James Somers

Donald Young, Iii

John Kruper

Al Ryan Santiago

John Farley

Disclosed are systems and methods that ingest substantial volumes of data from a variety of sources associated with a computing system network to create integrated, intuitive, efficient, and coherent adaptive workspace display interfaces. The ingestion includes event data generated by event source software applications running on end user computing devices as well as call and end user attribute data that is used to determine state, presence, and performance data for the end user computing devices that is formatted for display on the adaptive workspace interfaces and used during performance monitoring and collaboration between system end users. The adaptive workspace interfaces provide functions that facilitate real time collaboration between end users that enhances shared experiences between system end users and customers.

Adaptive workspace environment

Disclosed are systems and methods that enable robust, universal authentication and network access control capabilities for networks having a variety of computing device types and end users that access and operate on the network. The systems permit verification of end user identity, confirmation that computing devices have sufficient resources to reliably operate on the network, and configuration of computing devices with required software applications. The systems and methods further enable real-time, intelligent monitoring of the tasks and functions performed by system end users. The systems provide an immersive experience that allows end users to teleport into the environment of other end users, including viewing another end user's computer desktop, listening to ongoing telephone conversations, viewing and analyzing contemporaneous images or video of an end user and the end user's work environment, and interacting with the end user to provide precision coaching and assistance.

Systems and methods for intelligent monitoring

Disclosed are system and methods for digitally capturing, labeling, and analyzing data representing shared experiences between a service provider and a customer. The shared experience data is used to identify, test, and implement value-added improvements, enhancements, and augmentations to the shared experience and to monitor and ensure the quality of customer service. The improvements can be implemented as customer service process modifications, precision learning and targeted coaching for agents rendering customer service, process compliance monitoring, and as knowledge curation for a knowledge bot software application that facilitates automation of tasks and provides a natural language interface for accessing historical knowledge bases and solutions.

Systems and methods for digital analysis, test, and improvement of customer experience

Growing community of inventors

Tampa, FL, United States of America

J Brooke Aker