Proceedings of International Conference on AI and Financial Innovation AIFI 2025

This book features high-quality research papers presented at the International Conference on AI and Financial Innovation (AIFI 2025), IIMT Bhubaneswar, Odisha, India, during February 7–8, 2025. The integration of artificial intelligence (AI) into financial services is ushering in a new era of technological transformation. The book discusses AI’s ability to analyze large volumes of data, automate processes, and generate predictive insights which are revolutionizing how financial institutions operate. It also discusses how AI is becoming a critical tool for enhancing efficiency, improving decision-making, and fostering financial inclusion on a global scale. Furthermore, it presents contents on how integration of AI in payment systems, credit scoring, fraud detection, and regulatory compliance is reshaping the financial services industry, making it more secure, efficient, and accessible.

Risk Management for Distributed Arbitrage Systems Integrating Artificial Intelligence.- Analysis of Influencing Factors of Regional Economic Stability Development Combined with Data Mining Technology.- Using Big Data to Optimize Financial Resource Allocation Strategies in Economic Growth.- Analysis of the Effects of China's Economic Policies on the Fluctuations of the Economic Cycle.- Analysis of the Influence of Uncertainty on the Operation and Management of Chinese Commercial.- Research on the Selection of Credit Risk Assessment Indicators for Small Loan Companies Based on Analytic Hierarchy Process.- Dynamic Analysis of the Impact of Digital Currency on the Velocity of Money Circulate.- A Study on the Impact of Big Data-Driven Price Discrimination on Customer Citizenship Behavior Evidence from Ctrip Users.- A Machine Learning-based Model for Credit Risk Prediction in Banking Customers.- New Quality Productivity Enables Digital Financial Development Empirical Evidence.

Rangan Gupta is Professor at the Department of Economics, University of Pretoria. He holds a Ph.D. in economics from the University of Connecticut, USA. He conducts research in the fields of macroeconomics and financial economics. His research has appeared in high impact factor international journals such as International Journal of Forecasting, International Review of Financial Analysis, International Review of Economics and Finance, Journal of Banking and Finance, Journal of International Money and Finance, Journal of International Financial Markets, Institutions and Money, Journal of Macroeconomics, Economic Modelling, Emerging Markets Review, Journal of Forecasting, Energy Economics, Energy Policy, Energy, Macroeconomic Dynamics, Quantitative Finance, Resources Policy. 

Prof. (Dr.) Srikanta Patnaik is Director of IIMT, Bhubaneswar. He has received his Ph.D. (engineering) on computational intelligence from Jadavpur University, India, in 1999 and supervised 24 Ph.D. theses and more than 60 M.Tech. theses in the area of machine intelligence, soft computing applications, and re-engineering. Dr. Patnaik has published more than 100 research papers in international journals and conference proceedings. He is Author of 2 text books and edited 72 books and few invited book chapters, published by leading international publisher like Springer-Verlag, Kluwer Academic, etc. Dr. Patnaik was Principal Investigator of TAPTEC project “Building Cognition for Intelligent Robot” sponsored by All India Council for Technical Education, New Delhi, and major research project “Machine Learning and Perception using Cognition Methods” sponsored by University Grant Commission. He is Editors-in-Chief of book series on “Modeling and Optimization in Science and Technology” published from Springer, Germany. 

Prof. Anna Esposito is Director of the Laboratory of Behavioural Cognitive Systems (BeCogSys) at Department of Psychology,  Università delle Campania "Luigi Vanvitelli", Caserta, Italy.  The BeCogSys lab had an excellent international reputation thanks to the advanced research activities  in the field of behavioural and emotional analyses for envisaging mathematical models of human behavioral exchanges  and human adaptation dynamics and developing algorithms devoted to the implementation of emotionally and socially believable ICT interfaces. Anna  holds a ‘Laurea Degree’ summa cum laude in information technology and computer science and a Ph.D. in applied mathematics and computer science with a thesis developed at MIT, RLE, Cambridge, USA (03/1993-02/1995). Afterward (1995-2000), she worked as Researcher at the International Institute for Advanced Scientific Studies (IIASS). Her current research interests are on behavioural and related cognitive features to code/decode meaningful interactional exchanges, emotional conducts, and actions/reactions behaviours.