DocumentCode
1172748
Title
Intelligent virtual agents for contact center automation
Author
Gilbert, Mazin ; Wilpon, Jay G. ; Stern, Benjamin ; Fabbrizio, Giuseppe Di
Volume
22
Issue
5
fYear
2005
Firstpage
32
Lastpage
41
Abstract
The explosion of multimedia data, the continuous growth in computing power, and advances in machine learning and speech and natural language processing are making it possible to create a new breed of virtual intelligent agents capable of performing sophisticated and complex tasks that are radically transforming contact centers. These virtual agents are enabling ubiquitous and personalized access to communication services from anywhere. They ultimately provide a vehicle to fully automate eContact services without agent personnel. They are not limited to multimodal, multimedia, and multilingual capabilities, but also possess learning and data-mining capabilities to enable them to scale and self-maintain as well as extract and report on business intelligence. AT&T VoiceTone is a subset of this eContact revolution focused on creating this new wave of intelligent communication services.
Keywords
call centres; data mining; intelligent networks; learning (artificial intelligence); man-machine systems; multi-agent systems; natural languages; office automation; speech processing; user interfaces; AT&T VoiceTone; business intelligence; contact center automation; data-mining capabilities; eContact services; intelligent communication services; intelligent virtual agents; learning capabilities; machine learning; multimedia data; natural language processing; speech processing; Automation; Explosions; Intelligent agent; Learning systems; Machine learning; Multimedia computing; Natural language processing; Pervasive computing; Speech processing; Vehicles;
fLanguage
English
Journal_Title
Signal Processing Magazine, IEEE
Publisher
ieee
ISSN
1053-5888
Type
jour
DOI
10.1109/MSP.2005.1511822
Filename
1511822
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