Full Description
This book delves into the intersection of generative artificial intelligence (AI) and the financial Technology (FinTech) industry. This book provides a comprehensive exploration of how Generative AI, a cutting-edge subset of artificial intelligence, is fundamentally altering the landscape of finance. It meticulously unravels the intricate ways in which advanced algorithms, powered by generative AI, are transforming traditional financial processes, decision-making, risk assessment, portfolio management, fraud detection, and more. Through a detailed analysis of theoretical concepts and practical applications, we illustrate how generative AI techniques, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), are empowering FinTech applications to generate synthetic financial data, optimize trading strategies, and enhance customer experiences. Readers will gain a deep understanding of the potential of generative AI to create realistic financial scenarios, model market behaviour, and simulate various economic conditions for better planning and strategizing.
Moreover, this book offers insights into ethical considerations and potential challenges associated with the use of generative AI in the FinTech domain, emphasizing the importance of responsible and accountable deployment. Additionally, Generative AI in FinTech serves as a practical guide for professionals, researchers, and enthusiasts seeking to implement generative AI solutions within the financial sector. It presents case studies and real-world examples that demonstrate the effectiveness and impact of generative AI in various FinTech applications.
Contents
IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE AND CHATBOT FOR THE ENHANCEMENT OF NEW AGE BANKING SYSTEMS: A SYSTEMATIC REVIEW.- A Generative AI based Work Assignment System.- NexaMedic: Revolutionizing Medication Access and Healthcare Management through Intelligent Assistance.- Responsible AI in Fintech: Addressing Challenges and Strategic Solutions.- The Transformative Impact of AI Technologies on Decision-Making Processes and Operational Efficiency Across Sectors, with a Focus on Finance.- Information Utilized in the Multimodal Method for Assessing Financial Risk and Fraud Detection in the Context of Digital Currency.- Generative AI in FinTech: Revolutionizing Fraud Detection, Personalized Advising, and Predictive Analytics.- ADVANCING FINANCIAL FORECASTING WITH HIERARCHICAL GAUSSIAN MIXTURES: THE ADAPTIVE GENERATIVE META-MODEL FOR FINANCIAL ENVIRONMENTS (AGM-FE).- Next-Generation Credit Scoring: Enhancing Model Performance through Synthetic Data Generation with Generative Adversarial Networks.- The Mediating Influence of Journalistic Narratives on the Adoption of Generative AI in Financial Services.- Balancing Innovation and Responsibility: Tackling Challenges in Generative AI for FinTech.- Adapting Generative Models with Meta Learning for Financial Applications.- Precedence of Generative AI in Fintech: A Road to Redefine the Sector's Future.- Securing the Future: Addressing Risks and Vulnerabilities in Generative AI for Fintech.- The Role of Artificial Intelligence in a New Paradigm: Redefining the Banking Landscape.- Empowering Financial Access: A Generative AI Perspective.- Challenges for Responsible Implementation of Generative AI in Fintech.- Guardians of Accountability: The Role of Media in Oversight and Governance of Generative AI Applications in Fintech.
