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DTSTART;TZID=America/Chicago:20261111T170000
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DESCRIPTION:Artificial intelligence and computational intelligence are rapi
 dly transforming enterprise customer-service systems\, moving beyond tradi
 tional rule-based automation toward adaptive\, intelligent\, and context-a
 ware interactions. This session explores how to engineer AI agents and eme
 rging computational-intelligence techniques into reliable\, cloud-native e
 nterprise workflows.\n\nDrawing from real-world contact-center transformat
 ion experience\, the presentation examines the application of conversation
 al AI\, intelligent decision-making\, predictive routing\, natural languag
 e processing\, real-time analytics\, and human-in-the-loop orchestration. 
 It focuses on the transition from AI proof-of-concept to production\, addr
 essing cloud-native architecture\, scalability\, observability\, latency\,
  reliability\, enterprise integration\, governance\, and responsible AI.\n
 \nThe session will demonstrate how computational intelligence can augment 
 human decision-making rather than simply replace human interaction. Attend
 ees will gain a practical framework for designing AI-enabled service syste
 ms that combine intelligent automation\, contextual reasoning\, real-time 
 data\, and human expertise to deliver scalable and resilient enterprise ex
 periences.\n\nSpeaker(s): Siva\n\nVirtual: https://events.vtools.ieee.org/
 m/590419
LOCATION:Virtual: https://events.vtools.ieee.org/m/590419
ORGANIZER:morgankiani@ieee.org
SEQUENCE:24
SUMMARY:Engineering Human-Centered AI for Enterprise Customer Experience
URL;VALUE=URI:https://events.vtools.ieee.org/m/590419
X-ALT-DESC:Description: <br /><p>Artificial intelligence and computational 
 intelligence are rapidly transforming enterprise customer-service systems\
 , moving beyond traditional rule-based automation toward adaptive\, intell
 igent\, and context-aware interactions. This session explores how to engin
 eer AI agents and emerging computational-intelligence techniques into reli
 able\, cloud-native enterprise workflows.<br><br>Drawing from real-world c
 ontact-center transformation experience\, the presentation examines the ap
 plication of conversational AI\, intelligent decision-making\, predictive 
 routing\, natural language processing\, real-time analytics\, and human-in
 -the-loop orchestration. It focuses on the transition from AI proof-of-con
 cept to production\, addressing cloud-native architecture\, scalability\, 
 observability\, latency\, reliability\, enterprise integration\, governanc
 e\, and responsible AI.<br><br>The session will demonstrate how computatio
 nal intelligence can augment human decision-making rather than simply repl
 ace human interaction. Attendees will gain a practical framework for desig
 ning AI-enabled service systems that combine intelligent automation\, cont
 extual reasoning\, real-time data\, and human expertise to deliver scalabl
 e and resilient enterprise experiences.</p>
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