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Erscheint vorauss. 17. Februar 2027
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Generative AI and Finance: Unleashing Potential of Large Language Models, Frameworks, Interfaces, and Industry 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…mehr

Produktbeschreibung
Generative AI and Finance: Unleashing Potential of Large Language Models, Frameworks, Interfaces, and Industry 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.
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Autorenporträt
Pethuru Raj Chelliah, Ph.D., is a chief architect at Reliance Jio Platforms Ltd. (JPL), Bangalore, India. He has also worked at the IBM global cloud center and Robert Bosch Corporate Research. His research focuses on digital transformation technologies such as the Internet of Things (IoT), AI models & LLM optimization techniques, streaming data analytics, blockchain, etc.   Pushan Kumar Dutta, Ph.D., is an assistant professor in the Electronics and Communication Engineering Department at ASETKL, Amity University Kolkata, West Bengal, India. His research interests include data mining, big data, AI, edge computing, federated learning, etc. He has edited multiple books, published 42 articles, and completed 10 book editorials. He was honored with the Young Faculty in Engineering Award in 2018.   Abhishek Kumar, Ph.D., is the assistant director and an associate professor in the Computer Science & Engineering Department, Chandigarh University, Punjab, India. He has a postdoctoral degree in computer science from the University of Madras, Tamil Nadu, India. He has more than 100 publications in reputed peer-reviewed national and international journals, books, and conferences.   Ernesto D.R. Santibanez Gonzalez., Ph.D., is a professor at the University of Talca, Chile, and a professor at Paulista University, Brazil. He is passionate about addressing sustainability in different fields, like supply chain, energy efficiency, low carbon, etc. His current research focuses on integrating mathematical models, big data, blockchain internet technology, etc. He serves as an associate editor, has published over 60 articles, and has developed over 80 projects.   Mohit Mittal, Ph.D., is a data scientist at Knowtion GmbH in Karlsruhe, Germany. He completed a post-doctorate at Kyoto Sangyo University in Japan. He has authored numerous papers published in prestigious journals and at top-tier conferences. His research areas focus on wireless sensor networks, natural language processing, data mining, explainable AI, machine learning, and deep learning.   Sachin Gupta, Ph.D., is an assistant professor in the Department of Business Administration, Mohanlal Sukhadia University, Udaipur, Rajasthan, India.He is an associate editor, an editorial board member, an advisory board member, and a reviewer for many journals and conferences. His core subjects are finance, entrepreneurship & innovation, business & corporate law, etc. His current research investigates the practical applications and utility of business management theories in the Indian context. He has won several awards, such as 'Livelihood Challenges in a Globalizing India.'