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Generative Artificial Intelligence in Finance: Large Language Models, Interfaces, and Industry Use Cases to Transform Accounting and Finance Processes (2025) by Pethuru Raj Chelliah, Pushan Kumar Dutta, Abhishek Kumar, and others is a comprehensive guide exploring the transformative potential of generative AI systems in the finance and accounting sectors.
The book covers:
The application of large language models and generative AI across accounting, finance, economics, and business management.
Real-world case studies demonstrating AI-driven automation, financial forecasting improvements, fraud detection, risk assessment, and regulatory technology.
Insights on how AI can optimize complex financial processes to reduce costs, resource usage, and environmental impact.
Emerging technologies like blockchain and metaverse interfaces integrated with generative AI for innovation in virtual audits and carbon credit trading.
Ethical considerations, governance frameworks, and compliance requirements for deploying AI responsibly in finance.
The role of AI in sustainability reporting and finance optimization.
With 690 pages, it is tailored for finance professionals, business leaders, regulators, and researchers who want to harness AI's power to enhance productivity and maintain ethical standards in financial operations. The volume represents an in-depth resource for navigating the evolving landscape where finance and AI converge[web
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