Engineering Human-Centered AI for Enterprise Customer Experience

#IEEE #IEEEDallas #human-centered #human-in-the-loop #artificialintelligence #IEEECISDallas #IEEECIS #IEEECS

Artificial intelligence and computational intelligence are rapidly transforming enterprise customer-service systems, moving beyond traditional rule-based automation toward adaptive, intelligent, and context-aware interactions. This session explores how to engineer AI agents and emerging computational-intelligence techniques into reliable, cloud-native enterprise workflows.

Drawing from real-world contact-center transformation experience, the presentation examines the application 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-concept to production, addressing cloud-native architecture, scalability, observability, latency, reliability, enterprise integration, governance, and responsible AI.

The session will demonstrate how computational intelligence can augment human decision-making rather than simply replace human interaction. Attendees will gain a practical framework for designing AI-enabled service systems that combine intelligent automation, contextual reasoning, real-time data, and human expertise to deliver scalable and resilient enterprise experiences.