The evolution of generative AI in conversational systems: advancing chatbots and CCAI for Next-Gen Business Intelligence
Year: 2025
Type: article
Abstract: The integration of Generative AI (GenAI), Conversational AI (CCAI), and advanced chatbots is fundamentally transforming business-machine interactions across industries. This comprehensive article explores the evolution from rudimentary rule-based systems to sophisticated AI-driven conversational agents capable of understanding context, emotions, and complex intent. It examines cutting-edge developments in multi-turn contextual understanding, few-shot learning, and autonomous self-improvement capabilities that have revolutionized how businesses engage with customers. The article extends to enterprise integration, highlighting how AI-powered virtual assistants serve as strategic assets that optimize customer support operations, reduce operational costs, and enhance decision-making processes. Further discussions include the emergence of rich communication services, omnichannel integration, and voice AI advancements that enable more intuitive and personalized interactions. The article also addresses critical challenges such as bias mitigation, hallucination in generative models, and data security considerations. Looking forward, it explores promising future directions, including multimodal conversational AI, federated learning for privacy preservation, and domain-specific specialization across industries such as healthcare, legal services, and finance.
Author: Raghu Chukkala
Institution: Sikkim Manipal University
Language: English
Topic: AI in Service Interactions
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4410869689