Smart Finance: Artificial Intelligence, Regulatory Compliance, and Data Engineering in the Transformation of Global Banking
Keywords:
Artificial Intelligence, Finance, Regulatory Compliance, Data Engineering, FinTech, Machine Learning, Predictive AnalyticsSynopsis
Global banking is in the midst of a profound digital transformation. Emerging technologies, changing customer expectations, and evolving regulatory frameworks are forcing financial institutions to rethink how they operate, compete, and deliver value. Smart Finance: AI, Regulatory Compliance, and Data Engineering in the Transformation of Global Banking examines the forces reshaping the financial services industry and presents a comprehensive roadmap for leveraging artificial intelligence, advanced data engineering, and regulatory technologies (RegTech) to build resilient, future-ready banking systems. Artificial intelligence has moved beyond experimentation into mainstream adoption in banking—from automating credit scoring and fraud detection to powering conversational banking and algorithmic trading. Meanwhile, the explosion of data and the need for secure, compliant, and real-time processing have made data engineering and governance foundational to any modern financial operation. As institutions navigate increasingly complex regulations and heightened scrutiny, the role of AI and automation in compliance management has become not only strategic but essential.
This book brings together the technological, regulatory, and operational dimensions of smart finance. It explores how AI-driven analytics and decision systems are unlocking new opportunities in risk management, customer personalization, and financial planning. It also highlights the critical importance of robust data pipelines, scalable architectures, and integrated compliance frameworks in ensuring trust, transparency, and efficiency in global banking operations. With real-world examples, case studies, and forward-looking insights, this book is designed for banking professionals, technology leaders, data scientists, and policymakers seeking to understand and harness the transformative potential of intelligent finance. It does not merely chronicle innovation—it provides actionable strategies for thriving in a digital-first, regulation-intensive landscape.
As the global banking industry stands at a pivotal crossroads, the convergence of AI, compliance, and data engineering offers a unique opportunity: to redefine finance as more intelligent, inclusive, and secure. This book is both a guide and a vision for that future.
Chapters
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The evolution of banking in the digital age and its intersection with technological innovation
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Building a scalable and resilient data infrastructure to power intelligent financial services
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Risk compliance in the era of artificial intelligence: Navigating global regulatory landscapes and financial ethics
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Advanced techniques in Anti-Money Laundering (AML), Know Your Customer (KYC), and real-time identity resolution
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Artificial intelligence in credit risk modeling, underwriting, and customer behavior prediction
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Designing artificial intelligence -based fraud detection systems capable of handling dynamic threat environments
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Data engineering for real-time processing, streaming analytics, and scalable decision intelligence
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Predictive analytics for market volatility, trading algorithms, and liquidity risk management
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Ensuring data governance, lineage, explainability, and auditability in artificial intelligence-driven financial models
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Building next-generation robo-advisory platforms and artificial intelligence-powered wealth management solutions
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Integrating FinTech innovations, APIs, and open banking frameworks into legacy systems
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Strategizing the future of finance: Ethical artificial intelligence, sustainable investment, and the role of regulation in innovation
