Generative AI, Chatbots, and IoT: The Future of Intelligent Interactions

Abstract

Automated and generative AI, chatbots, and the Internet of Things have emerged as important paradigms that revolutionize intelligent systems' interfaces and operating effectiveness. Both generative AI is used to deliver dynamic and contextual-based responses, and IoT promotes data flow from one smart connected device to another. Altogether, it takes the technologies to the level that redraws the user experiences based on the level of real-time interaction. Thus, this paper aims to identify how to incorporate these innovations into telecom IoT-enhanced chatbots, maximize customer experience, and minimize business processes' time consumption. Furthermore, it also reviews the application of 5G edge computing in the improvement of real-time computation as well as the usage of zero trust systems. The results outline significant gains in response accuracy, decision-making accomplishment, and enhanced cybersecurity arrangements. Still, the pilot implementations show that response times could be shortened by 30 percent and satisfaction scores by 25 percent, proving the potential of those technologies. This research thus calls for the adoption of Generative AI and IoT for intelligent interactions, pointing towards increased cybersecurity and operational scalabilities of future work.