Generative Ai Insights For Financial Decision Making
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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 Ai Insights For Financial Decision Making
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Author : Mohammad Irfan
language : en
Publisher: Business Science Reference
Release Date : 2025
Generative Ai Insights For Financial Decision Making written by Mohammad Irfan and has been published by Business Science Reference this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with Business & Economics categories.
"By addressing the implications of blockchain and generative AI, the book encourages critical engagement with ethical and sustainability issues in finance, preparing students for future challenges. Society at large stands to gain from the promotion of financial inclusion and sustainable practices highlighted in the book, as well as increased consumer education on the benefits and risks of these technologies. Ultimately, this work contributes to building trust in financial systems, empowering individuals, and aligning financial practices with global sustainability goals, creating a more equitable and informed society"-- Provided by publisher.
Generative Artificial Intelligence In Finance
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Author : Pethuru Raj Chelliah
language : en
Publisher: John Wiley & Sons
Release Date : 2025-01-22
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 2025-01-22 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.
Behavioral Finance And Ai Tools For Sustainability
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Author : Daidai, Fouad
language : en
Publisher: IGI Global
Release Date : 2025-05-21
Behavioral Finance And Ai Tools For Sustainability written by Daidai, Fouad and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-21 with Business & Economics categories.
When enhanced by artificial intelligence (AI), behavioral finance can be used to identify trends harmful to sustainability. AI allows for the analysis of massive volumes of data to detect behaviors and financial decisions contrary to sustainability principles. The integration of behavioral finance principles and artificial intelligence (AI) tools support economic, social, and environmental sustainability. Behavioral Finance and AI Tools for Sustainability explores how machine learning algorithms, sentiment analysis, and other technological tools can be used to positively influence financial behaviors and encourage responsible investment practices. It delves into the detection of market anomalies and the evaluation of their long-term impact on sustainability goals, highlighting strategies to address these distortions. Covering topics such as cognitive biases, financial literacy, and global regulation, this book is an excellent resource for financial analysts, portfolio managers, investment advisors, regulators, policymakers, professionals, researchers, scholars, academicians, and more.
Optimizing Business Analytics With Generative Ai Ai Neural Networks For Enhanced Risk Management And Decision Support Systems In Financial Ecosystems
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Author : Harish Kumar Sriram
language : en
Publisher: GLOBAL PEN PRESS UK
Release Date :
Optimizing Business Analytics With Generative Ai Ai Neural Networks For Enhanced Risk Management And Decision Support Systems In Financial Ecosystems written by Harish Kumar Sriram 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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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.
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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Financial Innovation And Stability
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Author : Ardhendu Sekhar Nanda
language : en
Publisher: Cari Journals USA LLC
Release Date : 2024-10-30
Financial Innovation And Stability written by Ardhendu Sekhar Nanda and has been published by Cari Journals USA LLC this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-30 with Business & Economics categories.
TOPICS IN THE BOOK Harnessing RegTech for Financial Inclusion: Enhancing Compliance and Security in the Modern Financial Landscape The Advent of Generative AI and Financial Industry The Moderating Role of Liquidity on Financial Leverage and Profitability of Banks in Ghana Impact of Monetary Policy on Stock Market Volatility The Effect of Macroprudential Policies on Financial Stability
Data Analytics In Finance
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Author : Huijian Dong
language : en
Publisher: CRC Press
Release Date : 2025-04-30
Data Analytics In Finance written by Huijian Dong and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-30 with Computers categories.
Data Analytics in Finance covers the methods and application of data analytics in all major areas of finance, including buy-side investments, sell-side investment banking, corporate finance, consumer finance, financial services, real estate, insurance, and commercial banking. It explains statistical inference of big data, financial modeling, machine learning, database querying, data engineering, data visualization, and risk analysis. Emphasizing financial data analytics practices with a solution- oriented purpose, it is a “one-stop-shop” of all the major data analytics aspects for each major finance area. The book paints a comprehensive picture of the data analytics process including: Statistical inference of big data Financial modeling Machine learning and AI Database querying Data engineering Data visualization Risk analysis Each chapter is crafted to provide complete guidance for many subject areas including investments, fraud detection, and consumption finance. Avoiding data analytics methods widely available elsewhere, the book focuses on providing data analytics methods specifically applied to key areas of finance. Written as a roadmap for researchers, practitioners, and students to master data analytics instruments in finance, the book also provides a collection of indispensable resources for the readers’ reference. Offering the knowledge and tools necessary to thrive in a data-driven financial landscape, this book enables readers to deepen their understanding of investments, develop new approaches to risk management, and apply data analytics to finance.
Data Science
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Author : Robert Stahlbock
language : en
Publisher: Springer Nature
Release Date : 2025-04-16
Data Science written by Robert Stahlbock and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-16 with Computers categories.
This book constitutes the proceedings of the 20th International Conference on Data Science, ICDATA 2024, held as part of the 2024 World Congress in Computer Science, Computer Engineering and Applied Computing, in Las Vegas, USA, during July 22 to July 25, 2024. This proceedings book includes 39 papers selected from a total of 243 submissions. They are organized in topical sections as follows: Artificial intelligence, data science, and neural networks; natural language processing, large language modelc, generative AI; data science, data analytics, and applications; prediction and forecasting and security applications; and poster papers.