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Connected Intelligence in Finance & Public Services: Integrating AI, Big Data, and Digital Platforms for Smart Governance
About the Book
This edited volume is premised on a fundamental shift in how intelligence is produced, mobilized, and governed in contemporary finance and public services across the world. Intelligence today is no longer embedded solely in advanced algorithms or institutional expertise. Instead, it emerges from globally connected systems in which artificial intelligence, large-scale data infrastructures, digital platforms, regulatory frameworks, and human judgment continuously interact across national and sectoral boundaries.
The book develops this transformation through the concept of Connected Intelligence, presenting it as a globally relevant framework for understanding decision-making and governance in an increasingly interdependent digital economy. The volume deliberately integrates financial systems and public services, recognizing that their evolution is shaped by shared technological architectures and cross-border digital flows. Payment platforms, capital markets, taxation systems, welfare infrastructures, and regulatory mechanisms are now deeply intertwined at regional and global levels.
Through this integrated perspective, the book explores how connected intelligence operates within diverse institutional contexts, ranging from advanced economies to emerging and developing regions, highlighting both convergence and contextual variation. A distinctive strength of the book lies in its collaboration between academic researchers and industry and policy practitioners from different parts of the world. This engagement ensures that the analysis extends beyond abstract theorization to reflect operational realities, governance constraints, and strategic dilemmas faced by financial institutions, technology firms, and public agencies.
Conceptual discussions are therefore informed by lived experience, enabling a richer understanding of how connected intelligence is designed, contested, and institutionalized across global settings.
Tentative Chapters
Chapter 1: Connected Intelligence: Conceptual Foundations and Evolution Beyond Artificial Intelligence
Chapter 2: Architecture of Connected Intelligence Systems: AI, Big Data, Cloud, and Digital Platforms
Chapter 3: Human–AI–Platform Interaction in Connected Intelligence Ecosystems
Chapter 4: Connected Intelligence in Banking Systems: From Digital Banking to Cognitive Finance
Chapter 5: FinTech Platforms and Networked Financial Ecosystems
Chapter 6: AI-Driven Connected Intelligence in Capital Markets and Investment Analytics
Chapter 7: Connected Intelligence for Financial Risk Management and Fraud Detection
Chapter 8: ESG, Green Finance, and Sustainability Intelligence in Connected Financial Systems
Chapter 9: Connected Intelligence in Public Finance and Fiscal Governance
Chapter 10: Digital Public Infrastructure and Connected Governance Models
Chapter 11: AI, Big Data, and Connected Intelligence in Welfare and Social Protection Systems
Chapter 12: Smart Cities, Urban Finance, and Connected Public Service Ecosystems
Chapter 13: Algorithmic Governance, RegTech, and Connected Intelligence Frameworks
Chapter 14: Ethics, Privacy, Cybersecurity, and Trust in Connected Intelligence Systems
Chapter 15: Explainability, Transparency, and Accountability in AI-Enabled Governance
Chapter 16: Future Pathways of Connected Intelligence in Finance and Public Services: Policy and Strategic Roadmaps
For any query, contact:
Shyam Sunder Agrawal
shyamsunderagrawal8@gmail.com
