THEORETICAL ASPECTS OF AI CHATBOT DEVELOPMENT

Authors

DOI:

https://doi.org/10.31891/2219-9365-2024-79-25

Keywords:

artificial intelligence, chatbots, business process automation, natural language processing, technologies

Abstract

The article discusses modern trends in the development of artificial intelligence (AI) and its application across various industries. The aim of the study is to systematize and summarize the existing theoretical aspects of AI chatbot development and to justify the process of AI chatbot creation. The paper analyzes three main types of AI: narrow, general, and superintelligence, their capabilities, and potential areas of development. The research provides a detailed overview of AI usage in the context of chatbots, which are rapidly becoming indispensable tools for automating business processes, enhancing customer interaction, and improving service quality. It is justified that AI chatbots, as computer programs that simulate and process human conversations, play an essential role in improving the efficiency of interactions between users and digital systems. These chatbots can range from simple programs handling basic requests to complex digital assistants using artificial intelligence for learning and personalizing user interactions. The article presents statistical data supporting the relevance of chatbot implementation in business, particularly in e-commerce. According to the study, by 2024, more than 91% of online stores in the U.S. will have adopted intelligent systems, significantly reducing labor costs and optimizing customer service processes. It was found that chatbot integration significantly boosts business productivity, ensuring 24/7 service availability and personalized user interaction. The research also identifies the key stages of AI chatbot development, including the selection of programming language, frameworks, and platform, the organization of a database, and the configuration of machine learning models to process user queries. The importance of using cloud computing and natural language processing (NLP) technologies to enhance system flexibility and efficiency is substantiated. A comparative analysis of chatbots with other related technologies is provided, allowing an assessment of their uniqueness and advantages. It is argued that the implementation of AI chatbots is a critical step for the development of modern enterprises, as they help optimize business processes, improve customer communication, and reduce costs, ensuring economic efficiency.

Published

2024-08-29

How to Cite

BESEDOVSKYI О. (2024). THEORETICAL ASPECTS OF AI CHATBOT DEVELOPMENT. MEASURING AND COMPUTING DEVICES IN TECHNOLOGICAL PROCESSES, (3), 201–206. https://doi.org/10.31891/2219-9365-2024-79-25