Navigating the Future: Chatbots
Hüseyin Gürüler, Department of Information Systems Engineering, The University of Mugla Sitki Kocman University, Mugla, Türkiye.
Corresponding Author:
Hüseyin Gürüler (hguruler@mu.edu.tr)
Abstract:
Chatbots have rapidly evolved and gained prominence in recent years, transforming customer interactions and streamlining processes across various sectors. This paper explores the journey of chatbots from their inception to their current sophisticated forms. Key advancements in artificial intelligence (AI), natural language processing (NLP), and machine learning (ML) have played crucial roles in propelling chatbots to new heights. Real-world applications of chatbots are examined in diverse industries, including customer service, healthcare, finance, and marketing. These sectors leverage chatbots to enhance operational efficiency, improve customer satisfaction, and reduce costs. The paper also discusses the challenges organizations face in implementing and optimizing chatbots. These challenges include technical limitations, integration with existing systems, and user adoption issues. Strategies to overcome these hurdles are examined, providing insights into best practices for successful chatbot deployment. Additionally, the paper highlights the opportunities presented by conversational AI, such as personalized customer experiences and automated support. In conclusion, the rise of chatbots represents a significant shift in how organizations interact with customers and manage operations. As AI and related technologies continue to advance, chatbots are expected to become even more integral to business strategies, driving innovation and efficiency across various domains. This paper serves as a valuable resource for understanding the evolution, applications, challenges, and future trends of chatbots in the modern technological landscape.
Keywords:
Generative AI; Natural Language Processing (NLP); Large Learning Models (LLM)s