The International Conference on Large Language Models and Applied Artificial Intelligence in Business and Economics brings together researchers, industry experts, academics, and innovators to explore the profound influence of Large Language Models (LLMs) and advanced AI systems on global business practices and economic landscapes. With a focus on real-world applications, the conference provides a dynamic platform for exchanging ideas, showcasing pioneering research, and fostering dialogue at the intersection of AI, business strategy, and economic transformation. Participants will examine how LLMs—such as GPT, Gemini, Claude, and open-source alternatives—are revolutionizing financial analytics, decision intelligence, policy simulation, digital marketing, and organizational management through intelligent automation and generative insights. Key discussions will highlight how LLMs enhance knowledge management, data-driven forecasting, customer engagement, risk analysis, and innovation ecosystems, driving efficiency and inclusivity across industries. The conference also emphasizes the ethical and responsible integration of LLMs, addressing issues such as data governance, transparency, bias mitigation, model interpretability, and regulatory frameworks for sustainable AI adoption. In addition, sessions will delve into the human–AI synergy, exploring how organizations can balance human creativity and machine intelligence to build adaptive, trustworthy, and future-ready systems. Through keynote lectures, expert panels, paper presentations, and case-based sessions, the conference aims to bridge academia, research, and industry, showcasing success stories, emerging tools, and transformative business models powered by LLMs. Ultimately, the International Conference on Large Language Models and Applied Artificial Intelligence in Business and Economics aspires to inspire a global community of thinkers and practitioners to harness AI as a catalyst for inclusive growth, sustainable innovation, and resilient economic ecosystems in the era of intelligent automation.
Paper Submission Date |
01st November, 2025 |
Final Submission Date |
31st January, 2026 |
Notification of Acceptance/Rejection |
28th February, 2026 |
Final version with Copy Right |
31st March, 2026 |
Last Date of Registration |
15th April, 2026 |
Date of Conference |
15th-16th May, 2026 |
Prof. Zhengtao Yu, Ph.D., is the dean of the Faculty of Information Engineering and Automation, the director of the Provincial Key Lab of Intelligent Information Processing, and the Chief Professor of KUST innovation team of Intelligent Information Processing.
Dr. Bishwa Ranjan Das has completed MSc (Mathematics) and PGDCA from Sambalpur University in the year 1995-1997 and 1998 respectively. He has also completed MCA from IGNOU New Delhi in 2009 and subsequently ME (CSE) from Utkal University in 2012.
Prof. Rutuparna Panda (Member IEEE) was born in 1963. He received B.Sc Engg. (Electronics & Telecommunication Engineering) and M. Sc. Engg. (Communication Systems Engineering) Degrees from UCE Burla in 1985 and 1988, respectively.
Dr. Umaranjan Jena is a distinguished Professor in the Department of Computer Science and Engineering (Cyber Security) with over 35 years of experience. Holding a Ph.D. in Engineering, his specialization lies in Cyber Law & Policy.
Dr. Jayadev Kar is a distinguished academician and administrator with a robust background in human resource development, management, and multidisciplinary education. With an MBA in Personnel and Marketing from Utkal University and a Ph.D.
For the last twelve years, Dr. Anil Kumr Bandrana has been associated with teaching and research. Before joining LMU, he was Post-Doctoral Research Fellow in Decision Sciences at the Centre for Supply Chain Improvement, University of Derby, UK.
Prof. Jena has more than 15 years of Industry experience. He was consulting to Health Department, Govt. of Orissa for a period of 2 years. He is the author or co-author of over 50 publications and book chapters.
Prof. Pramod Kumar Prusty is the Dean Academics of IIMT, Bhubaneswar, Odisha, India. He has received his Ph.D degree from Utkal University, Vani Vihar on Accounting and Finance based topic. He has supervised five Ph.D Scholars.
Mr. Alok Arun has completed Integrated MBA from Ravenshaw University, Cuttack Odisha in 2019 with specialization in Finance & Financial Markets. He has achieved Level 5 certification from National Stock Exchange (NSE)
