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Smart Finance Artificial Intelligence Regulatory Compliance And Data Engineering In The Transformation Of Global Banking


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


Smart Finance Artificial Intelligence Regulatory Compliance And Data Engineering In The Transformation Of Global Banking
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Author : Srinivasarao Paleti
language : en
Publisher: Deep Science Publishing
Release Date : 2025-05-07

Smart Finance Artificial Intelligence Regulatory Compliance And Data Engineering In The Transformation Of Global Banking written by Srinivasarao Paleti and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-07 with Computers categories.


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


The Future Of Financial It Agentic Artificial Intelligence And Intelligent Infrastructure In Modern Banking
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Author : Bharath Somu
language : en
Publisher: Deep Science Publishing
Release Date : 2025-06-10

The Future Of Financial It Agentic Artificial Intelligence And Intelligent Infrastructure In Modern Banking written by Bharath Somu and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-10 with Computers categories.


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


Ethical Considerations And Bias Detection In Artificial Intelligence Machine Learning Applications
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Author : Jayesh Rane
language : en
Publisher: Deep Science Publishing
Release Date : 2025-07-10

Ethical Considerations And Bias Detection In Artificial Intelligence Machine Learning Applications written by Jayesh Rane and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-10 with Computers categories.


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.



Handbook Of Financial Econometrics Mathematics Statistics And Machine Learning In 4 Volumes


Handbook Of Financial Econometrics Mathematics Statistics And Machine Learning In 4 Volumes
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Author : Cheng Few Lee
language : en
Publisher: World Scientific
Release Date : 2020-07-30

Handbook Of Financial Econometrics Mathematics Statistics And Machine Learning In 4 Volumes written by Cheng Few Lee and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-07-30 with Business & Economics categories.


This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.



The Future Of Financial Technology Integrating Generative Ai Agentic Systems And Secure Data Engineering In The Public And Private Sectors


The Future Of Financial Technology Integrating Generative Ai Agentic Systems And Secure Data Engineering In The Public And Private Sectors
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Author : Abhishek Dodda
language : en
Publisher: Global Pen Press UK
Release Date :

The Future Of Financial Technology Integrating Generative Ai Agentic Systems And Secure Data Engineering In The Public And Private Sectors written by Abhishek Dodda and has been published by Global Pen Press UK this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.


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Smart Financial Market Ai And The Future Of Banking


Smart Financial Market Ai And The Future Of Banking
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Author : Pritam Mehta
language : en
Publisher: Centre for Academic Research and Excellence
Release Date : 2024-08-25

Smart Financial Market Ai And The Future Of Banking written by Pritam Mehta and has been published by Centre for Academic Research and Excellence this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-25 with Law categories.


Smart Financial Market: AI and the Future of Banking offers a comprehensive exploration of how artificial intelligence is transforming the financial industry. This essential read covers critical topics such as FinTech innovations, robo-advising, and evolving payment methods. The book is a collaboration of experts, including engineers, professors, law students, and bank managers, ensuring that the content is both authoritative and up-to-date with the current landscape. Delving into the intersection of technology and finance, this book provides readers with insights into the latest AI-driven solutions that are reshaping banking services. From the rise of FinTech startups disrupting traditional banking models to the advent of robo-advisors offering personalized financial guidance, this book examines how AI is creating new opportunities and challenges within the financial sector.



Digital Transformation In Financial Services


Digital Transformation In Financial Services
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Author : Claudio Scardovi
language : en
Publisher: Springer
Release Date : 2017-09-04

Digital Transformation In Financial Services written by Claudio Scardovi and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-09-04 with Business & Economics categories.


This book analyzes the set of forces driving the global financial system toward a period of radical transformation and explores the transformational challenges that lie ahead for global and regional or local banks and other financial intermediaries. It is explained how these challenges derive from the newly emerging post-crisis structure of the market and from shadow and digital players across all banking operations. Detailed attention is focused on the impacts of digitalization on the main functions of the financial system, and particularly the banking sector. The author elaborates how an alternative model of banking will enable banks to predict, understand, navigate, and change the external ecosystem in which they compete. The five critical components of this model are data and information mastering; effective use of applied analytics; interconnectivity and “junction playing”; development of new business solutions; and trust and credibility assurance. The analysis is supported by a number of informative case studies. The book will be of interest especially to top and middle managers and employees of banks and financial institutions but also to FinTech players and their advisers and others.



Artificial Intelligence In Society


Artificial Intelligence In Society
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Author : OECD
language : en
Publisher: OECD Publishing
Release Date : 2019-06-11

Artificial Intelligence In Society written by OECD and has been published by OECD Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-11 with categories.


The artificial intelligence (AI) landscape has evolved significantly from 1950 when Alan Turing first posed the question of whether machines can think. Today, AI is transforming societies and economies. It promises to generate productivity gains, improve well-being and help address global challenges, such as climate change, resource scarcity and health crises.



The Future Of Finance


The Future Of Finance
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Author : Henri Arslanian
language : en
Publisher: Palgrave Macmillan
Release Date : 2019-07-24

The Future Of Finance written by Henri Arslanian and has been published by Palgrave Macmillan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-24 with Business & Economics categories.


This book, written jointly by an engineer and artificial intelligence expert along with a lawyer and banker, is a glimpse on what the future of the financial services will look like and the impact it will have on society. The first half of the book provides a detailed yet easy to understand educational and technical overview of FinTech, artificial intelligence and cryptocurrencies including the existing industry pain points and the new technological enablers. The second half provides a practical, concise and engaging overview of their latest trends and their impact on the future of the financial services industry including numerous use cases and practical examples. The book is a must read for any professional currently working in finance, any student studying the topic or anyone curious on how the future of finance will look like.



Perspectives On Digital Transformation In Contemporary Business


Perspectives On Digital Transformation In Contemporary Business
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Author : Albakri, Mohammed
language : en
Publisher: IGI Global
Release Date : 2024-11-27

Perspectives On Digital Transformation In Contemporary Business written by Albakri, Mohammed and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-27 with Business & Economics categories.


In today's society, the proliferation of digitization, digitalization, and digital transformation have played a significant role in reshaping society and business, in both public and private sectors. The advancement of intelligent systems has enabled organizations to streamline processes, increase efficiency, and broaden their reach. The adoption of Industry 4.0 technologies has hastened this transformation, resulting in unprecedented opportunities for growth and innovation. In today's hyperconnected world, businesses from a wide range of industries have used these technologies to improve operations, personalize customer experiences, and gain a competitive advantage. However, as technology evolves, it is not without challenges. These challenges must be addressed and mitigated before they escalate, as they can have serious economic, social, and technological consequences for individuals, businesses, governments, and society as a whole. Perspectives on Digital Transformation in Contemporary Business is an essential resource for navigating the complex landscape of digital transformation in business. The book delves into the evolution, trends, and challenges of digitalization, providing invaluable insights into key thematic areas such as the digital economy, digital education, digital entrepreneurship, and digital ethics. This book covers topics such as entrepreneurship, healthcare technology, and supply chains, and is a useful resource for business owners, policymakers, educators, researchers, technology professionals, and academicians.