AI-Driven Computational Models for Business Intelligence and Decision Frameworks

This book features 49 chapters that look into the contribution of AI, computational functions, and digitized technologies towards business decisions and sustainable development. The chapters cover areas like sentiment analysis, predicting analytics, consumer behavior, digital payment security, and human-centered decision support through empirical studies, case studies, and literature reviews. It also deals with sustainable finance, ESG reporting, blockchain governance, entrepreneurship, and the future of work. Further, it touches upon ethical AI, digital trust, and technical readiness bringing together innovation with organizational and social issues. This edited collection can offer researchers, students, professionals, and policymakers different viewpoints on how intelligent technologies and analytical knowledge can help in achieving effective decision making under prevailing digital conditions.