📮 Generative AI in Finance by Pethuru Raj Chelliah (.PDF)

This comprehensive volume delves deep into the diverse applications and implications of Generative AI (GenAI) 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. For writing Machine Learning code using Python various libraries like Pandas, Matplotlib, Seaborn, and ML algorithms from Sklearn. Along with the previous work conducted in the field, our study incorporates various methodologies and ML algorithms to address specific tasks such as bankruptcy detection and credit card approval prediction.

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