Smart Finance Artificial Intelligence Regulatory Compliance And Data Engineering In The Transformation Of Global Banking
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Smart Finance: Artificial Intelligence, Regulatory Compliance, and Data Engineering in the Transformation of Global Banking
Author: Srinivasarao Paleti
language: en
Publisher: Deep Science Publishing
Release Date: 2025-05-07
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.
The Future of Financial IT: Agentic Artificial Intelligence and Intelligent Infrastructure in Modern Banking
Author: Bharath Somu
language: en
Publisher: Deep Science Publishing
Release Date: 2025-06-10
The financial world is changing faster than ever before. What was once a slow-moving, traditional industry is now being transformed by the rise of intelligent technologies and data-driven thinking. This book is our attempt to make sense of this transformation and guide readers through the exciting, sometimes complex, changes happening across modern banking. From agentic artificial intelligence and big data analytics to blockchain, cloud computing, and cognitive automation, the book explores the technologies that are not only reshaping banking infrastructure but also redefining the way banks interact with people. Today’s banks are no longer just buildings or apps, they're becoming intelligent systems that can learn, adapt, and serve customers more personally and efficiently than ever before. This book is written for a broad audience, whether you’re a student, researcher, tech enthusiast, or a financial professional curious about the future. The goal is to bridge the gap between complex innovations and real-world banking applications, offering a clear roadmap to what’s ahead. Ultimately, I believe the future of banking isn’t just about technology, it’s about trust, intelligence, and human-centered design. This book sparks ideas, encourages exploration, and contributes to a more inclusive and resilient financial future.
Ethical Considerations and Bias Detection in Artificial Intelligence/Machine Learning Applications
Author: Jayesh Rane
language: en
Publisher: Deep Science Publishing
Release Date: 2025-07-10
At a time when artificial intelligence (AI) and machine learning (ML) are used to make sensitive societal decisions such as the ones related to criminal justice, healthcare, finance, education, employment, algorithmic fairness and bias mitigation are among the most important but challenging issues at hand. The goal of this book is to provide a holistic view across various disciplines of the ethical base, detection methods, and technical measures for trustworthy AI systems. Starting from a solid foundation of statistical bias, transparency systems and fairness-aware ML models, this book methodically looks at state-of-the-art methodologies, where we highlight their shortcomings and introduce a unified model framework for detecting bias and transparent algorithms. Moving beyond technical diagnoses, it examines key sociotechnical and policy tools that are required to implement AI responsibly, providing guidance to researchers, engineers, policy makers, and organizational leaders. Literature review has been driven following the experimental case, the fairness trade-offs, intersectional bias, explainability and regulatory compliance are discussed in depth by the authors. This work underscores that fairness in automated decision-making systems depends not only on algorithmic accuracy, but also institutional will and stakeholder engagement. The chapters in this book function as both an academic primer and a resourceful handbook, transitioning readers through an ever-growing ethical AI terrain. Whether you are a data scientist building and deploying an algorithm that encourages ethical speech, or a regulator working to create and refine guidelines around such algorithms, this book provides you with both the tools and the understanding you need for ethical technology development and deployment.