Front Matter

Abstract

Welcome to "Connected Intelligence in Finance & Public Services: Integrating AI, Big Data, and Digital Platforms for Smart Governance" 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. 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.

Chapter 1, "Connected Intelligence: Conceptual Foundations and Evolution Beyond Artificial Intelligence," authored by K.A. Vanessa, H. Samuel Thavaraj, V. Monica Hepzibah Pushpabai, and N. Robindro Singh, introduces the emerging concept of Connected Intelligence as a progression beyond conventional Artificial Intelligence. The chapter traces the evolution from human and collective intelligence to interconnected intelligent ecosystems, emphasizing the integration of emotional intelligence, ethical decision-making, and human-AI collaboration. It highlights research gaps and proposes a human-centric framework for developing sustainable and socially responsive intelligent systems.

Chapter 2, "Architecture of Connected Intelligence Systems: AI, Big Data, Cloud and Digital Platforms," authored by Raj Bahadur Sharma, Neeraj Mathur, Rashmi Mathur, and Ruchi Verma, explores the technological architecture underpinning Connected Intelligence Systems. The chapter examines the integration of artificial intelligence, big data analytics, cloud computing, and digital platforms, discussing key architectural components such as data pipelines, MLOps, microservices, and API management. It further addresses scalability, interoperability, security, and future trends, including edge intelligence and quantum-AI integration.

Chapter 3, "Role of Blockchain Technology in India’s Financial Ecosystem: A Case Study of Top Two Indian Banks," authored by Priya Mahajan, Divya Mahajan, and Parvinder Pal Singh, examines the transformative role of blockchain technology in India's banking sector. Through a comparative analysis of State Bank of India and ICICI Bank, the chapter demonstrates how blockchain enhances transparency, operational efficiency, and trust in financial ecosystems while spurring innovation in banking services.

Chapter 4, "Connected Intelligence in Banking Systems: From Digital Banking to Cognitive Finance in the GCC," authored by Zaki Ahmad, Wahidah Shari, and Mohamed Ali Ali, examines the influence of connected intelligence on financial inclusion across Gulf Cooperation Council countries. Using panel data analysis, the chapter evaluates the impact of digital banking access, transaction intensity, and AI-enabled cognitive finance readiness on financial inclusion. It proposes a regional model integrating intelligent financial services with broader socioeconomic development goals.

Chapter 5, "Reimagining ESG Through Sustainability Intelligence: An AI-Enabled Approach in Connected Financial Ecosystems," authored by Laiba Anwar, Rupesh Roshan Singh, and Jubril Olayinka Animashaun, presents sustainability intelligence as a means to enhance the effectiveness of Environmental, Social, and Governance (ESG) practices. The chapter argues that AI-driven interpretation and integration of ESG data can improve investment decisions, risk assessment, and long-term value creation while advancing sustainable finance within interconnected financial ecosystems.

Chapter 6, "AI-Driven Connected Intelligence in Capital Markets and Investment Analytics," authored by Avni Tyagi, Sejal Singh, Manish Dev Sharma, Pankaj Kumar Tripathi, Vaibhavi Thapliyal, Neha Bankoti, and Naveen Gaurav, explores how artificial intelligence and connected intelligence are transforming capital market operations. The chapter discusses applications in algorithmic trading, portfolio optimization, risk management, and investor behavior analysis, while addressing concerns related to algorithmic bias, data privacy, and regulatory oversight.

Chapter 7, "Smart Cities, Urban Finance and Connected Public Service Ecosystems," authored by V. Seema, V. Sasikala, G. Sridhar, V. Uma Maheshwari, and Jaison Benoda Lawrance Nepoleon, investigates the convergence of urban finance, technology, and public service delivery in smart cities. The chapter highlights the role of innovative financing mechanisms, public-private partnerships, and integrated data platforms in enhancing governance, service delivery, and urban resilience, ultimately supporting sustainable urban development.

Chapter 8, "Reframing ESG Compliance as Sustainability Intelligence: Designing Data-Driven Governance for Connected Financial Ecosystems in India," authored by Deepak Kumar Chauhan, Naresh Prajapati, Shuchi Arora, Suraj Kumar, and Shiva Prasad Paudel, examines India's evolving ESG regulatory landscape. Moving beyond compliance-oriented approaches, the chapter advocates for a sustainability intelligence framework that integrates environmental and social metrics into governance, capital allocation, and financial supervision, thereby strengthening long-term institutional accountability and sustainable growth.

Chapter 9, "Connected Intelligence for Public Finance and Fiscal Governance," authored by S. Indhirapratha, L. Radhakrishnan, and N. Robindro Singh, explores how connected intelligence systems comprising AI, fintech, big data, and digital governance platforms can transform public finance management. The chapter emphasizes the role of real-time analytics, fiscal transparency, and predictive governance in improving budgeting, policy evaluation, and institutional efficiency while addressing challenges such as data privacy and technological inequality.

Chapter 10, "Connected Intelligence Systems and the Future of Urban Financial Networks," authored by Arshad Bhat, Abid Sultan, Bhanu Saxena, and Vallabh Verma, analyzes the integration of artificial intelligence, IoT, and data-driven governance in urban financial systems. The chapter demonstrates how intelligent infrastructures can enhance municipal finance, digital payments, predictive planning, and revenue generation while ensuring resilience, inclusivity, and trust within rapidly evolving urban environments.

Chapter 11, "Connected Intelligence Framework for Secure AR/VR-Driven IT Operations: Integrating Edge AI, QoE-Aware Network Slicing, and Intelligent Authentication Mechanisms," authored by Swapnil Saurav and K. S. Sudeep, proposes a novel framework that combines immersive technologies, edge AI, intelligent authentication, and advanced networking solutions for IT operations. The chapter addresses challenges related to scalability, cybersecurity, and latency while demonstrating how augmented and virtual reality can enhance operational efficiency and decision-making in complex digital infrastructures.

Chapter 12, "Smart Cities, Urban Finance, and Connected Public Service Ecosystems: A Framework for AI-Driven Smart Governance," authored by C.V. Suresh Babu, Harish S, Srivarshan J, and Lokeshwaran R, presents an AI-driven governance framework for future smart cities. The chapter discusses the integration of artificial intelligence, IoT, predictive analytics, and digital twins to improve urban finance, resource allocation, fiscal resilience, and citizen engagement while promoting sustainable and inclusive urban development.

Chapter 13, "From Regulation to Automation: Mapping Algorithmic Governance and RegTech in Financial Systems through a B-SLR Study," authored by Shad Ahmad Khan, Dipak Debnath, and Ujjal Bhuyan, examines the growing role of algorithmic governance and Regulatory Technology (RegTech) in modern financial systems. Through a bibliometric and systematic literature review, the chapter explores how automated compliance, fraud detection, and predictive risk management contribute to financial stability, transparency, and institutional trust.

Chapter 14, "Connected Intelligence for Ocean Sustainability: Digital Trade Governance and Circular Blue Economic Transformation in Emerging Economies," authored by Mohammad Rashed Hasan Polas, Mohammad Ekramol Islam, Marjea Jannat Mohua, Abu Saleh Md. Sohel-Uz-Zaman and Ahmed Imran Kabir investigate the application of connected intelligence technologies in promoting sustainable ocean governance and blue economic growth. The chapter highlights the use of AI, blockchain, IoT, and digital trade frameworks to enhance marine resource management, seafood supply chain transparency, climate-smart aquaculture, and sustainable economic development.

Chapter 15, "Explainability, Transparency, and Accountability in AI-Enabled Governance," authored by Sandhya Kumari, Aditi Bhardwaj, Kanika Gaur, and Puja Kumari, critically examines the principles of explainability, transparency, and accountability within AI-driven governance systems. Drawing on legal frameworks and scholarly literature, the chapter evaluates the opportunities and challenges of AI-led decision-making and proposes recommendations for building trustworthy and responsible digital governance models.

Chapter 16, "Governing Connected Intelligence in Financial Services: A Cross-Jurisdictional RegTech Framework for AI-Driven Risk Management," authored by Shruti Tyagi, presents a comprehensive governance framework designed for the emerging era of connected intelligence in financial services. The chapter addresses challenges arising from AI-driven decision-making, non-human identities, and cross-border regulatory complexities. It introduces the CI-GovBridge framework, integrating AI governance, RegTech automation, explainability, accountability, and cross-jurisdictional compliance to support secure and responsible financial innovation.

We extend our sincere appreciation to all contributing authors for sharing their scholarly expertise and innovative perspectives on the rapidly evolving domain of Connected Intelligence. Their contributions collectively explore the intersections of artificial intelligence, blockchain, sustainability, governance, finance, smart cities, and digital transformation, offering valuable insights for academics, researchers, practitioners, policymakers, and industry leaders. We hope that this volume serves as a significant reference for understanding the conceptual foundations, technological architectures, governance frameworks, and practical applications of Connected Intelligence.