Search results for "Generative AI in Banking"
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Generative AI in Banking Financial Services and Insurance
This book explores the integration of Generative AI within the Banking, Financial Services, and Insurance (BFSI) sector, elucidating its implications, applications, and the future landscape of BFSI. The first part delves into the origins and evolution of Generative AI, providing insights into its mechanics and applications within the BFSI context. It goes into the core technologies behind Generative AI, emphasizing their significance and practical applications. The second part explores how Generative AI intersects with core banking processes, ranging from transactional activities to customer support, credit assessment, and regulatory compliance. It focuses on the digital transformation driving investment banking into the future. It also discusses AI’s role in algorithmic trading, client interactions, and regulatory adaptations. It analyzes AI-driven techniques in portfolio management, customer-centric solutions, and the next-generation approach to financial planning and advisory matters. The third part equips you with a structured roadmap for AI adoption in BFSI, highlighting the steps and the challenges. It outlines clear steps to assist BFSI institutions in incorporating Generative AI into their operations. It also raises awareness about the moral implications associated with AI in the BFSI sector. By the end of this book you will understand Generative AI’s present and future role in the BFSI sector. What You Will LearnKnow what Generative AI is and its applications in the BFSI sectorUnderstand deep learning and its significance in generative modelsAnalyze the AI-driven techniques in portfolio management and customer-centric solutionsKnow the future of investment banking and trading with AIKnow the challenges of integrating AI into the BFSI sector Who This Book Is ForProfessionals in the BFSI and IT sectors, including system administrators and programmers
R 1,482.00
AI in Banking
Big data and artificial intelligence (AI) cannot remain limited to academic theoretical research. It is crucial to utilize them in practical business scenarios, enabling cutting-edge technology to generate tangible value. This book delves into the application of AI from theory to practice, offering detailed insights into AI project design and code implementation across eleven business scenarios in four major sectors: retail banking, e-banking, bank credit, and tech operations. It provides hands-on examples of various technologies, including automatic machine learning, integrated learning, graph computation, recommendation systems, causal inference, generative adversarial networks, supervised learning, unsupervised learning, computer vision, reinforcement learning, fuzzy control, automatic control, speech recognition, semantic understanding, Bayesian networks, edge computing, and more. This book stands as a rare and practical guide to AI projects in the banking industry. By avoiding complex mathematical formulas and theoretical analyses, it uses plain language to illustrate how to apply AI technology in commercial banking business scenarios. With its strong readability and practical approach, this book enables readers to swiftly develop their own AI projects.
R 2,931.00
Transforming Financial Services with Generative AI
Generative AI (GenAI) is revolutionizing the financial services sector (FSS), offering new ways to enhance efficiency, improve customer experiences, and streamline operations. This book is your comprehensive guide to understanding and implementing GenAI within FSS. Grounded in real-world use cases, this book moves from fundamentals to boardroom-ready execution. You'll start with the core concepts behind AI, machine learning, and GenAI, then pivot into the challenges of FSS: intense regulatory scrutiny, evolving fraud threats, operational complexity, and rising expectations for personalized, always-on service. You'll learn a practical blueprint for GenAI adoption, including strategy, governance, risk controls, data readiness, and culture--through the lens of executives tasked with delivering measurable value responsibly. From there, you'll get hands-on experience building GenAI systems: prompt design, evaluation, Retrieval-Augmented Generation (RAG), fine-tuning, and agentic workflows. You'll see how these capabilities power mission-critical functions across the enterprise: Finally, you'll operationalize all of it with modern FMOps/LLMOps practices--security, privacy, performance, cost management, monitoring, and continuous improvement--so pilots become production systems that scale. The closing chapter distills emerging trends, from autonomous agents to domain-specialized models, and lays out next steps so your organization can adopt GenAI with confidence, compliance, and a clear return on investment. Whether you're a CIO crafting a roadmap, a product leader shipping AI features, a data scientist building RAG pipelines, or a risk and compliance executive seeking control and clarity, this book is your end-to-end guide to deploying GenAI that is safe, explainable, and enterprise-grade. What You Will Learn Develop a strategic blueprint for GenAI adoption, including implementation methodologies, risk mitigation, and best practices for financial institutions Master the core components of building GenAI applications, from prompt engineering and model evaluation to RAG and Agentic AI Discover how GenAI transforms risk and compliance management, including applications in Anti-Money Laundering (AML), trade surveillance, and regulatory reporting Explore practical GenAI use cases across retail banking, investment banking, and wealth management, and learn about successful operational deployment Who This Book Is For Data scientists, AI professionals, and financial services experts interested in leveraging generative AI within the financial sector.
R 1,368.00
Future Trends in AI Banking: Decentralized Finance (DeFi), Central Bank Digital Currencies (CBDCs), and Beyond
Future Trends in AI Banking: Decentralized Finance (DeFi), Central Bank Digital Currencies (CBDCs), and Beyond offers an in-depth, forward-looking exploration of how artificial intelligence is reshaping the financial sector—from retail and private banking to global markets and digital currencies. As technology accelerates faster than regulation and tradition can keep pace, this book provides a clear, structured analysis of where finance is headed and how AI can help create a smarter, more inclusive system for all.Organized into four sections, the book begins with a deep dive into the key technologies driving transformation, including machine learning, blockchain, and data analytics. It explains how these innovations are redefining customer behaviour, automating decision-making, and influencing behavioural finance—particularly in areas such as retirement planning and financial literacy.The second section turns to the real world, presenting case studies and data-driven insights from private banking and other financial institutions. Readers will gain a realistic understanding of AI’s potential and its current limitations, from the challenges of integration to issues of transparency, trust, and governance.The third section explores the evolving nature of money itself, highlighting the rise of central bank digital currencies (CBDCs) and how AI can support responsible innovation, ESG-aligned investment strategies, and sustainable growth. Privacy, regulation, and the social responsibilities of AI-driven finance are examined in depth.Finally, the book closes with ethical and strategic reflections on the future of intelligent banking—addressing not just what AI can do, but what it should do. By blending technical insight with ethical foresight, Future Trends in AI Banking: Decentralized Finance (DeFi), Central Bank Digital Currencies (CBDCs), and Beyond equips professionals, policymakers, and academics with the understanding needed to navigate the next wave of financial innovation.
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R 1,635.96
Innovating Finance For A Sustainable Future: Integrating Fintech, Blockchain And Generative Ai
This book explores the intersection of financial innovation and sustainable development, highlighting how digital innovation can promote environmental, social, and governance (ESG) criteria. Integrating perspectives from finance, technology, and environmental studies, it examines innovations such as FinTech, blockchain, and Generative AI in finance, the impact of digital financial services on banking, and their contributions to increasing consumer satisfaction. Written for academics, industry professionals, and policymakers, the book provides an in-depth analysis of current trends, challenges, and the potential of digital innovations to drive meaningful improvements in ESG outcomes and inspire a new era of sustainable financial services.The volume focuses on the convergence of finance, digital innovation, and sustainability. It explores how these issues are interrelated and how they are influencing the new digital banking industry. The book's chapters cover a wide range of critical issues in finance, sustainability, and digital transformation in the context of developing and emerging economies.To creatively respond to the challenges and explore the opportunities inherent in the banking and finance industry, this book presents strategies tailored to the needs of developing regions. It offers innovative ideas and valuable management solutions developed by managers and decision-makers. This book contains a variety of contributions that deal with financial innovation, strategic orientation, and organizational issues in the banking sector. All contributions have both theoretical and managerial implications.
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R 1,008.00
Technology, AI, and Operational Security in Banking
In today’s rapidly evolving digital landscape, banks are not only financial institutions but also technology-driven enterprises. As banking operations migrate to digital platforms, cyber threats targeting financial institutions have become more sophisticated and relentless. The consequences of cyberattacks—ranging from financial loss to reputational damage—can be catastrophic, making cybersecurity and technology risk management fundamental pillars of modern banking. The financial sector is one of the most highly regulated industries globally, and for good reason, it holds the trust of billions of individuals and businesses. However, with increased digitization— through mobile banking, cloud computing, open banking application programming interfaces (APIs), and artificial intelligence (AI)-driven services—comes an expanded attack surface. Incidents such as ransomware attacks, data breaches, and sophisticated fraud schemes have demonstrated that a proactive approach to cybersecurity is not just optional—it is imperative. This 2-book collection is designed to provide banking professionals, technology leaders, and cybersecurity practitioners with comprehensive insights into building robust cybersecurity frameworks and managing technology risks effectively. This book, Technology, AI, and Operational Security in Banking: Mastering Cybersecurity and Tech Risk Management explores the latest technologies driving cybersecurity, including artificial intelligence (AI), Zero Trust security models, and digital transformation risks, along with practical incident response strategies. Drawing on the authors’ experience as a cybersecurity practitioner, technology risk leader, and educator, he has crafted this series to bridge the gap between theoretical frameworks and practical applications in banking security.The second book is Cyber Resilience in Banking: A Practical Guide to Governance, Risk, and Compliance.
R 2,408.59
R 1,042.00
Technology, AI, and Operational Security in Banking
In today’s rapidly evolving digital landscape, banks are not only financial institutions but also technology-driven enterprises. As banking operations migrate to digital platforms, cyber threats targeting financial institutions have become more sophisticated and relentless. The consequences of cyberattacks—ranging from financial loss to reputational damage—can be catastrophic, making cybersecurity and technology risk management fundamental pillars of modern banking. The financial sector is one of the most highly regulated industries globally, and for good reason, it holds the trust of billions of individuals and businesses. However, with increased digitization— through mobile banking, cloud computing, open banking application programming interfaces (APIs), and artificial intelligence (AI)-driven services—comes an expanded attack surface. Incidents such as ransomware attacks, data breaches, and sophisticated fraud schemes have demonstrated that a proactive approach to cybersecurity is not just optional—it is imperative. This 2-book collection is designed to provide banking professionals, technology leaders, and cybersecurity practitioners with comprehensive insights into building robust cybersecurity frameworks and managing technology risks effectively. This book, Technology, AI, and Operational Security in Banking: Mastering Cybersecurity and Tech Risk Management explores the latest technologies driving cybersecurity, including artificial intelligence (AI), Zero Trust security models, and digital transformation risks, along with practical incident response strategies. Drawing on the authors’ experience as a cybersecurity practitioner, technology risk leader, and educator, he has crafted this series to bridge the gap between theoretical frameworks and practical applications in banking security.The second book is Cyber Resilience in Banking: A Practical Guide to Governance, Risk, and Compliance.
R 9,339.95
R 1,221.00
AI-Driven Finance in the VUCA World
In today’s world, characterized by volatility, uncertainty, complexity, and ambiguity (VUCA), traditional finance is no longer sufficient to meet the challenges of fast-paced and interconnected global markets. To thrive in this dynamic environment, financial institutions, professionals, and policymakers are increasingly turning to AI. AI-Driven Finance in the VUCA World explores how AI is becoming ever more critical in the financial industry.This book looks at the impact of AI on investment strategies. AI-powered algorithms exhibit the capacity to scrutinize extensive datasets to unveil masked patterns and investment opportunities. From quantitative trading algorithms adept at capitalizing on market inefficiencies to robot-advisors offering individualized investment counsel, AI profoundly reconfigures the investment landscape. In a VUCA world, risk management is paramount, and regulatory scrutiny is tighter than ever. AI’s ability to assess risks in real time is critical in identifying anomalies and predicting potential crises. The book examines how AI enhances risk assessment, fraud detection, and compliance to provide institutions with a proactive edge in safeguarding operations and assets. This text also looks at the following:AI-driven chatbots, virtual assistants, and recommendation engines that revolutionize customer interactions, enhance engagement, and improve retention ratesThe ethical challenges surrounding AI in finance, including bias in algorithms, data privacy, and the responsible use of AICase studies on how AI can solve specific industry challenges and drive innovationThe future of finance is intertwined with AI, and this book looks to this future by discussing emerging trends and possibilities. It explores the potential of quantum computing in finance, the role of AI in sustainability and ESG investing, and the implications of AI-powered regulatory technologies. Seeking to provide valuable insights for financial professionals, the book is equally valuable to researchers, policymakers, and anyone interested in the future of finance. It bridges the gap between theory and practice, offering actionable insights that can be immediately applied in the real world.
R 2,963.89
R 1,130.00
AI-Powered Cybersecurity for Banking and Finance
In the digital finance world, cybersecurity and cloud tools can be used to prevent attacks and secure sensitive information such as the data of business transactions, internal payments, interbank payments, bank accounts, loan and deposit accounts, stocks, and other financial transactions.The book explores the importance of artificial intelligence (AI)-based predictive cybersecurity tools in the financial industry and their role in protecting financial data. As AI continues to revolutionize the landscape of global transactions, it also brings forth new challenges, including sophisticated theft activities. This book addresses the problem of enhancing security and prevention of attacks through the application of AI-powered cybersecurity tools.This book contributes to a deeper understanding of the importance of virus detection tools, unauthorized access detection tools, cloud services, and real-time predictive analytics in the finance industry as well as their pivotal role in cybersecurity for preventing data theft. The book provides valuable insights for cybersecurity and cloud services in the financial services industry, aiding administrators, engineers, and managers in fortifying the security and resilience of financial data systems in the face of evolving challenges of financial data theft.This book is not merely a compilation of technical knowledge – through its engaging and thought-provoking content, the book leaves an indelible impression, urging readers to embrace the transformative power of AI-based technologies and embark on a collective mission to unlock the full potential of cybersecurity as well as cloud services for the improved safety of the global financial ecosystem.
R 9,459.90
Digital Transformation of Banking
The banking sector is evolving rapidly due to technological advancements, regulatory changes, and shifting customer expectations. This book addresses these changes by comprehensively analysing key areas where technology intersects with banking.It provides a detailed and insightful examination of how technological advances have historically impacted and continue to shape the banking sector. It offers an up-to-date analysis of emerging trends such as Central Bank Digital Currencies (CBDCs) and artificial intelligence (AI), helping stakeholders make informed decisions. It presents practical insights and strategies for bank marketing and risk management in the contemporary environment. Further, it underscores current and future trends and highlights the opportunities, ethical considerations, and challenges when banking and advanced technology meet. The book employs frameworks and models applicable across multiple disciplines, for example, using risk management frameworks that incorporate both financial and technological risks, making the analysis more holistic.By engaging with a wide range of stakeholders, including reports from policymakers, financial institutions, consultancies, and technology providers, the research addresses practical concerns and is grounded in real-world challenges and opportunities. Finally, the use of case studies from different countries and industries provides practical examples that illustrate how interdisciplinary concepts are applied in real-world scenarios. This method helps bridge theoretical knowledge with practical applications. The book proposes specific policy recommendations based on the analysis of CBDCs and risk management practices, and the research findings and insights contained in it are accessible and actionable for a broad audience, including academics, researchers, and students, as well as policymakers, financial institutions, and technology providers.
R 3,605.59
Artificial Intelligence and the Future of Islamic Finance
Artificial Intelligence (AI) is revolutionizing the financial sector, transforming markets globally through innovation, efficiency, and emerging technologies. This book explores how AI is transforming the world of Islamic finance while addressing the unique ethical challenges Shariah law poses.It offers a comprehensive understanding of how AI can be responsibly integrated into Islamic financial systems, balancing technological innovation with adherence to ethical and religious principles. The book is divided into three main parts. The first, presents ethical considerations, legal frameworks, and educational imperatives necessary for AI integration into Islamic finance. In the second part, the book explores real-world examples of AI-driven innovation in Islamic banking, crowdfunding, auditing, and international trade, while the third section examines emerging trends, regulatory challenges, and policy implications, providing a roadmap for the future of AI in Islamic finance. What sets this book apart from existing works is its interdisciplinary approach, combining insights from AI, ethics, Islamic law, and financial technology. While many books focus either on AI in general finance or Islamic finance in isolation, this book uniquely bridges both fields, offering practical, policy-driven solutions for integrating AI in a Shariah-compliant manner. By highlighting responsible AI practices that align with Islamic principles, the book provides an innovative framework for ethical, technology-driven financial systems.It is an essential resource for scholars, practitioners, policymakers, and financial professionals who seek to understand how AI can be integrated into sustainable and inclusive financial systems and offers valuable insights for anyone interested in the intersection of AI, global finance, and Islamic financial principles.
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R 1,602.55
Fraud Fighter's AI Playbook
Generative AI is fundamentally transforming the ecosystem, volume, quality, and tactics of online fraud. By lowering technical barriers and enabling automated deception at scale, it has already transformed the fraud landscape, making campaigns more effectively industrialized yet at the same time more personalized. The Fraud Fighter's AI Playbook offers the first comprehensive examination of this shift-analyzing how fraudsters weaponize GenAI and providing a structured framework for countering these threats.Grounded in decades of experience across digital advertising, ecommerce, fintech, digital banking, cryptocurrency, and risk analytics, the authors bridge academic insight with operational expertise. They aim to trace the democratization of fraud through GenAI and empower practitioners with a firm grasp on the changes taking place, including updated detection and prevention methodologies and accessible protection strategies. Whether you're leading fraud operations or aiming to strengthen your own defenses, this playbook will help you stay one step ahead.Understand the changing tactics and techniques used by GenAI-powered fraudstersImplement AI detection models, prompt best practices, and implementation templatesIntegrate cross-vertical fraud intelligence to identify and prevent emerging threatsDesign tools that use AI to detect fraud and scams and help safeguard digital lives at work and at home
R 1,731.00
R 1,228.16
Generative AI
Generative AI (GenAI) is the hottest new area of AI, accelerating innovations affecting all industries and showcasing AI’s ability to present human-like language capabilities with large language models (LLMs). This book builds a solid foundation for the technology underlying GenAI Models, LLM, and foundation and reasoning models for the No-Code audience by explaining the models' workings in simple English. It then takes the reader on a journey to find out where there are gaps to innovate. Each chapter outlines the state of research in each topic and invites learners to build on this research to think about ethical implications and balance it with innovation to benefit everyone. The author covers the technological, product, and societal impact of Generative AI to give a comprehensive guide for this important technology. This book will help the data scientist, product manager, and business leader alike because it covers the API economy and critical industries impacted and offers a framework to think about automation and jobs impacted and what competencies are needed to excel in GenAI and offers an in-depth guide to build GenAI products and applications.
R 5,890.24
AI-Driven Finance in the VUCA World
In today’s world, characterized by volatility, uncertainty, complexity, and ambiguity (VUCA), traditional finance is no longer sufficient to meet the challenges of fast-paced and interconnected global markets. To thrive in this dynamic environment, financial institutions, professionals, and policymakers are increasingly turning to AI. AI-Driven Finance in the VUCA World explores how AI is becoming ever more critical in the financial industry.This book looks at the impact of AI on investment strategies. AI-powered algorithms exhibit the capacity to scrutinize extensive datasets to unveil masked patterns and investment opportunities. From quantitative trading algorithms adept at capitalizing on market inefficiencies to robot-advisors offering individualized investment counsel, AI profoundly reconfigures the investment landscape. In a VUCA world, risk management is paramount, and regulatory scrutiny is tighter than ever. AI’s ability to assess risks in real time is critical in identifying anomalies and predicting potential crises. The book examines how AI enhances risk assessment, fraud detection, and compliance to provide institutions with a proactive edge in safeguarding operations and assets. This text also looks at the following:AI-driven chatbots, virtual assistants, and recommendation engines that revolutionize customer interactions, enhance engagement, and improve retention ratesThe ethical challenges surrounding AI in finance, including bias in algorithms, data privacy, and the responsible use of AICase studies on how AI can solve specific industry challenges and drive innovationThe future of finance is intertwined with AI, and this book looks to this future by discussing emerging trends and possibilities. It explores the potential of quantum computing in finance, the role of AI in sustainability and ESG investing, and the implications of AI-powered regulatory technologies. Seeking to provide valuable insights for financial professionals, the book is equally valuable to researchers, policymakers, and anyone interested in the future of finance. It bridges the gap between theory and practice, offering actionable insights that can be immediately applied in the real world.
R 12,327.71
AI-Powered Cybersecurity for Banking and Finance
In the digital finance world, cybersecurity and cloud tools can be used to prevent attacks and secure sensitive information such as the data of business transactions, internal payments, interbank payments, bank accounts, loan and deposit accounts, stocks, and other financial transactions.The book explores the importance of artificial intelligence (AI)-based predictive cybersecurity tools in the financial industry and their role in protecting financial data. As AI continues to revolutionize the landscape of global transactions, it also brings forth new challenges, including sophisticated theft activities. This book addresses the problem of enhancing security and prevention of attacks through the application of AI-powered cybersecurity tools.This book contributes to a deeper understanding of the importance of virus detection tools, unauthorized access detection tools, cloud services, and real-time predictive analytics in the finance industry as well as their pivotal role in cybersecurity for preventing data theft. The book provides valuable insights for cybersecurity and cloud services in the financial services industry, aiding administrators, engineers, and managers in fortifying the security and resilience of financial data systems in the face of evolving challenges of financial data theft.This book is not merely a compilation of technical knowledge – through its engaging and thought-provoking content, the book leaves an indelible impression, urging readers to embrace the transformative power of AI-based technologies and embark on a collective mission to unlock the full potential of cybersecurity as well as cloud services for the improved safety of the global financial ecosystem.
R 3,564.26
R 486.00
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R 3,098.19
R 814.00
Introduction to Generative AI
Introduction to Generative AI: Theoretical Foundations, Analysis and Practical Use CasesGenerative Artificial Intelligence is reshaping how we create, learn, and imagine. This book offers a clear and complete journey through the science and art behind this revolution — from how machines learn to produce text, images, and music, to how they are being built, tested, and applied in the real world.The first part of the book lays out the ideas that make generative AI possible — neural networks, transformers, diffusion models, and the mysterious “latent spaces” where creativity meets computation. The middle chapters explore how today’s AI systems reason, plan, and use tools, drawing on powerful frameworks such as LangChain, LangGraph, and AutoGen. The final section moves beyond algorithms, discussing how to build safe, fair, and energy-conscious AI that serves human goals rather than replacing them.Throughout, real-world examples bring the technology to life — from language models that write poetry, to multimodal systems that can paint or compose music, to intelligent agents that collaborate with humans in research, education, and design. Written in accessible language and supported by visual explanations, this book bridges deep technical ideas with human-centered understanding.HighlightsExplains the core principles of how generative models think and createShows how AI systems combine text, vision, and sound in unified waysConnects theory with hands-on applications and real-world use casesDiscusses ethics, creativity, and sustainability in the age of intelligent machinesWritten for learners, researchers, and professionals who want both clarity and depthIntroduction to Generative AI: Theoretical Foundations, Analysis and Practical Use Cases is an essential guide for anyone curious about how artificial intelligence is shaping the next chapter of human innovation.
R 5,165.00
Artificial Intelligence and Finance
Artificial Intelligence (AI) has been increasingly shaping the organization and operation of global capital markets by backing the consequences of algorithmic trading. However, concerns about the growing contribution of AI are mounting, particularly in relation to its potential to destabilize fair and orderly trading. This book examines the impact of AI upon Finance, financial management, competition and crimes. It presents the AI-driven economy by combining a theoretical framework with econometric analysis and involves a discussion of the intersection of novel areas, including blockchain and AI. It investigates the AI-driven economy from four perspectives: economic impacts and financial implications, technological innovation and political considerations. This interdisciplinary approach enables a holistic analysis of the subject, ensuring its relevance. The book begins by signalling the latest advancements in AI and its significance for the economy, presenting new forms of finance. It investigates the role of AI within financial markets, followed by an analysis of the role of AI upon developments in finance, financial management and governance, with an emphasis on metaverse and Non-Fungible Tokens (NFTs), Central Bank Digital Currencies (CBDCs), cyber assets and digital currencies. The role of competition upon finance is highlighted and financial crimes and their influence upon financial markets is examined. The book will find an audience among researchers and students in the field of economics, finance or business, as well as economists, lawyers, and financial and cybersecurity professionals.
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