Generative Ai In Fintech Revolutionizing Finance Through Intelligent Algorithms
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Generative Ai In Fintech Revolutionizing Finance Through Intelligent Algorithms
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Author : Soumi Dutta
language : en
Publisher: Springer Nature
Release Date : 2025-03-19
Generative Ai In Fintech Revolutionizing Finance Through Intelligent Algorithms written by Soumi Dutta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-19 with Computers categories.
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.
Generative Artificial Intelligence Ai Approaches For Industrial Applications
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Author : Narasimha Rao Vajjhala
language : en
Publisher: Springer Nature
Release Date : 2025-02-03
Generative Artificial Intelligence Ai Approaches For Industrial Applications written by Narasimha Rao Vajjhala and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-03 with Computers categories.
"Generative Artificial Intelligence (AI) Approaches for Industrial Applications" explores the transformative potential of Generative AI technologies across various industries. With contributions from international scholars and experts, this book provides a comprehensive overview of the latest trends, mathematical foundations, and practical applications of Generative AI models. Key sections examine the fundamental concepts of Generative AI, including Generative Adversarial Networks (GANs) and their ethical and security considerations. Special attention is given to the revolutionary impact of Generative AI in healthcare technologies, clinical decision-making, and predictive maintenance within the manufacturing sector. Additionally, the role of Generative AI in FinTech, particularly in redefining business models and enhancing digital security, is thoroughly examined. This book features cutting-edge research on text summarization, age progression using GANs, and integrating AI with regulatory practices. This book is a vital resource for academics, professionals, and practitioners bridging the gap between theoretical AI frameworks and their real-world industrial applications, offering insights into how Generative AI is shaping the future of industries worldwide.
Utilizing Ai And Machine Learning In Financial Analysis
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Author : Darwish, Dina
language : en
Publisher: IGI Global
Release Date : 2025-01-21
Utilizing Ai And Machine Learning In Financial Analysis written by Darwish, Dina and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-21 with Business & Economics categories.
Machine learning models can imitate the cognitive process by assimilating knowledge from data and employing it to interpret and analyze information. Machine learning methods facilitate the comprehension of vast amounts of data and reveal significant patterns incorporated within it. This data is utilized to optimize financial business operations, facilitate well-informed judgements, and aid in predictive endeavors. Financial institutions utilize it to enhance pricing, minimize risks stemming from human error, mechanize repetitive duties, and comprehend client behavior. Utilizing AI and Machine Learning in Financial Analysis explores new trends in machine learning and artificial intelligence implementations in the financial sector. It examines techniques in financial analysis using intelligent technologies for improved business services. This book covers topics such as customer relations, predictive analytics, and fraud detection, and is a useful resource for computer engineers, security professionals, business owners, accountants, academicians, data scientists, and researchers.
The Future Of Finance Unraveling Fintech And Generative Ai In The Era Of Intelligent Investments
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Author : Lakshminarayana Reddy Kothapalli Sondint
language : en
Publisher: JEC PUBLICATION
Release Date :
The Future Of Finance Unraveling Fintech And Generative Ai In The Era Of Intelligent Investments written by Lakshminarayana Reddy Kothapalli Sondint and has been published by JEC PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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Navigating Data Science In The Age Of Ai
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Author : Babita Singla
language : en
Publisher: Emerald Group Publishing
Release Date : 2025-04-14
Navigating Data Science In The Age Of Ai written by Babita Singla and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-14 with Business & Economics categories.
Navigating Data Science in the Age of AI: Exploring Possibilities of Generative Intelligence can offer significant contributions in the field of generative intelligence in the context of data science and help stakeholders formulate strategies to tackle its adoption, implementation, and control challenges.
How Generative Ai Shapes The Finance World
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Author : Marc Stanford
language : en
Publisher: NuovoNova Ltd.
Release Date : 2025-07-14
How Generative Ai Shapes The Finance World written by Marc Stanford and has been published by NuovoNova Ltd. this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-14 with Business & Economics categories.
The financial world is being rewritten by intelligent code. Are you ready to lead, or will you be left behind? HOW GENERATIVE AI SHAPES THE FINANCE WORLD reveals how AI agents are transforming every corner of the financial ecosystem—from real-time stock trades and ETF strategies to cryptocurrency security and cross-border payments. This cutting-edge guide demystifies the power of generative AI, offering actionable insights for investors, fintech professionals, developers, and executives navigating the rapidly evolving digital finance landscape. Whether you're intrigued by AI-powered trading bots, curious about algorithmic ETF arbitrage, or looking to secure your crypto portfolio with machine learning, this book delivers: A deep dive into the AI mechanisms powering modern finance—from neural networks and reinforcement learning to Python-based modeling and cloud infrastructure. Real-world use cases across Stock Markets, FOREX, Commodities, ETFs, and Cryptocurrency—with sample workflows, execution tactics, and risk management frameworks. Expert strategies for integrating AI into legacy systems and adapting to ever-evolving compliance and regulatory mandates. A forward-looking analysis of emerging technologies—like quantum finance, graph neural networks, and autonomous agents—and their impact on financial markets. Best practices for navigating ethical dilemmas, cybersecurity threats, and talent transformation in the age of intelligent automation. Written for professionals across finance, fintech, data science, and compliance, this comprehensive volume is your blueprint for understanding, implementing, and profiting from AI agents in financial services. Discover how generative AI is not just augmenting finance—it's redefining it.
Artificial Intelligence And Accounting
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Author : Manjit Kour
language : en
Publisher: Taylor & Francis
Release Date : 2025-08-08
Artificial Intelligence And Accounting written by Manjit Kour and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-08 with Business & Economics categories.
In the dynamic field of accounting, where accuracy and productivity are critical, artificial intelligence (AI) integration has become a game-changer and AI is set to affect every industry. With the speed at which technology is developing, a thorough manual that helps readers understand the complex world of AI in accounting is desperately needed. By offering a sophisticated grasp of how AI is changing the core ideas of accounting and financial management, this book bridges this knowledge gap. It explores the relationship between AI technology and accounting processes, revealing the significant influence and unrealised potential outside of traditional bookkeeping. This book delves into how AI is revolutionising accounting procedures. It explores the newest AI technologies and their uses in financial data processing, auditing, compliance, and forecasting, ranging from machine learning to predictive analytics. It ensures responsible AI integration by addressing biases, accountability, and transparency while emphasising ethical considerations. This book provides case studies, practical advice, and examples from the real world, guaranteeing that readers not only understand the theoretical foundations of AI in accounting but also get the knowledge necessary to apply and maximise these technologies within their professional domains by connecting theory and application. It offers a road map for traversing the accounting industry's AI frontier, from using predictive analytics to make well-informed decisions to automating repetitive activities. This book will enable accountants, auditors, and financial analysts to prosper in the emerging AI-driven world.
Generative Ai Insights For Financial Decision Making
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Author : Irfan, Mohammad
language : en
Publisher: IGI Global
Release Date : 2025-07-09
Generative Ai Insights For Financial Decision Making written by Irfan, Mohammad and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-09 with Business & Economics categories.
Generative AI emerges as a powerful tool in the financial sector, offering new insights and capabilities that transform decision-making processes. By synthesizing complex datasets, generative models can uncover patterns, simulate market scenarios, and generate forecasts with greater speed and precision than traditional methods. These models support a range of applications, enabling institutions to make more informed, data-driven decisions. As generative AI evolves, it presents both opportunities and challenges, calling for a careful balance between innovation, transparency, and regulatory compliance in financial operations. Generative AI Insights for Financial Decision Making explores the implications of blockchain and generative AI in the finance sector. It examines best practices for optimizing operations and developing innovative financial products that meet evolving consumer demands. This book covers topics such as financial security, blockchain, and payment systems, and is a useful resource for engineers, business owners, academicians, researchers, and scientists.
Generative Artificial Intelligence In Finance
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Author : Pethuru Raj Chelliah
language : en
Publisher: John Wiley & Sons
Release Date : 2025-03-11
Generative Artificial Intelligence In Finance written by Pethuru Raj Chelliah and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-11 with Computers categories.
This comprehensive volume delves deep into the diverse applications and implications of generative AI across accounting, finance, economics, business, and management, providing readers with a holistic understanding of this rapidly evolving landscape. Generative Artificial Intelligence in Finance: Large Language Models, Interfaces, and Industry Use Cases to Transform Accounting and Finance Processes provides a comprehensive guide to ethically harnessing generative AI systems to reshape financial management. Generative AI is a key theme across the accounting and finance sectors to drive significant optimizations leading to sustainability. Across 22 chapters, leading researchers supply innovative applications of large language models across the economic realm. Through detailed frameworks, real-world case studies, and governance recommendations, this book highlights applied research for generative AI in finance functions. Several chapters demonstrate how data-driven insights from AI systems can optimize complex financial processes to reduce resource usage, lower costs, and drive positive environmental impact over the long term. In addition, chapters on AI-enabled risk assessment, fraud analytics, and regulatory technology highlight applied research for generative AI in finance. The book also explores emerging applications like leveraging blockchain and metaverse interfaces to create generative AI models that can revolutionize areas from carbon credit trading to virtual audits. Overall, with in-depth applied research at the nexus of sustainability and optimization enabled by data science and generative AI, the book offers a compilation of best practices in leveraging AI for optimal, ethical, and future-oriented financial management. Audience The audience for this book is quite diverse, ranging from financial and accounting experts across banking, insurance, consultancies, regulatory agencies, and corporations seeking to enhance productivity and efficiency; business leaders want to implement ethical and compliant AI practices; researchers exploring the domain of AI and finance.
Artificial Intelligence For Financial Risk Management And Analysis
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Author : Derbali, Abdelkader Mohamed Sghaier
language : en
Publisher: IGI Global
Release Date : 2025-04-08
Artificial Intelligence For Financial Risk Management And Analysis written by Derbali, Abdelkader Mohamed Sghaier and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-08 with Business & Economics categories.
The revolution of artificial intelligence (AI) impacts various business sectors, including accounting and finance. Machine intelligence is on the rise in human interaction, as novel technologies automate tasks and enhance human capabilities at an increasingly rapid rate. While AI has the potential to assist in the identification and management of risks, such as in financial risk measurement, analysis, and management, the disruptive nature of these emerging technologies introduces new and complex scenarios. Utilizing these technologies to facilitate decision-making processes could result in biased, inequitable, and unreliable decisions, giving rise to concerns regarding data, privacy, and security. Further research is necessary to understand the implications of AI in financial practices. Artificial Intelligence for Financial Risk Management and Analysis delves into the most recent advancements in AI technologies that facilitate risk analysis and decision-making. It examines the potential risks these technologies pose to individuals, businesses, and establishments. Covering topics such as firm management, automation, and long short-term memory (LSTM) networks, this book is an excellent resource for financial advisors, banking professionals, computer scientists, professionals, researchers, academicians, and more.