This publication will delve into the transformative role of Large Language Models (LLMs) in Business Analytics. It aims to bridge the gap between cutting-edge AI research and practical business applications by showcasing how LLMs can analyze vast datasets, uncover insights, predict trends, and facilitate decision-making processes. The book will cover theoretical foundations, practical applications, case studies, and future directions of LLMs in business environments.
This publication is poised to make a significant impact on both academic and professional realms by providing a comprehensive resource on leveraging LLMs for business analytics. It will contribute to the academic discussion by presenting research findings, methodologies, and theoretical advancements. For practitioners, it offers actionable insights, best practices, and examples of successful integration of LLMs into business processes. Moreover, it aims to foster innovation, encourage the adoption of LLM technologies in diverse business sectors, and stimulate further research in this dynamic field.
Academic researchers and students in AI, machine learning, business analytics, and related fields seeking to understand the application of LLMs in business contexts. Business professionals and industry practitioners looking for ways to apply LLMs to solve real-world business problems, enhance decision-making, and gain competitive advantages. Policy makers and technology strategists interested in the implications of AI technologies on business models, operations, and regulatory environments.