This book brings together research that demonstrates how advanced computational methods, artificial intelligence and data-driven approaches can support financial analysis, business decision-making and organizational innovation. It contains selected contributions from the 4th International Conference on Computational Finance and Business Analytics (CFBA-2026), held on 10–11 April 2026 at IIMT, Bhubaneswar, India. This book covers computational finance, fintech, predictive analytics, financial risk management, business intelligence, customer analytics, human resource and workforce analytics, marketing analytics, generative AI, intelligent decision-support systems and related applications. This book combines methodological developments with practical insights for addressing contemporary financial and business challenges. This book is intended for researchers, academics, postgraduate students, industry practitioners and policymakers, and can serve as a reference for research, teaching, professional practice and evidence-based strategic decision-making.