Applications Of Gpt In Finance Compliance And Audit


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Applications of GPT in Finance, Compliance, and Audit


Applications of GPT in Finance, Compliance, and Audit

Author: Alexander Hüsch

language: en

Publisher: Springer Nature

Release Date: 2024-11-15


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This book, authored by three experts with the assistance of GPT, provides comprehensive insights into the applications of generative AI, such as GPT, in the financial sector of businesses. It offers background information, benefits, as well as the challenges and risks associated with implementation. In addition to general applications within companies, specific use cases are also presented, focusing on areas such as controlling, business intelligence, accounting, investor relations, internal audit and control systems, risk management, auditing, and data privacy. The book concludes with a discussion on strategies for utilizing GPT effectively.

Generative AI Business Applications


Generative AI Business Applications

Author: David E. Sweenor

language: en

Publisher: TinyTechMedia LLC

Release Date: 2024-01-31


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Within the past year, generative AI has broken barriers and transformed how we think about what computers are truly capable of. But, with the marketing hype and generative AI washing of content, it’s increasingly difficult for business leaders and practitioners to go beyond the art of the possible and answer that critical question–how is generative AI actually being used in organizations? With over 70 real-world case studies and applications across 12 different industries and 11 departments, Generative AI Business Applications: An Executive Guide with Real-Life Examples and Case Studies fills a critical knowledge gap for business leaders and practitioners by providing examples of generative AI in action. Diving into the case studies, this TinyTechGuide discusses AI risks, implementation considerations, generative AI operations, AI ethics, and trustworthy AI. The world is transforming before our very eyes. Don’t get left behind—while understanding the powers and perils of generative AI. Full of use cases and real-world applications, this book is designed for business leaders, tech professionals, and IT teams. We provide practical, jargon-free explanations of generative AI's transformative power. Gain a competitive edge in today's marketplace with Generative AI Business Applications: An Executive Guide with Real-Life Examples and Case Studies. Remember, it's not the tech that's tiny, just the book!™

AI for Research and Scalable, Efficient Systems


AI for Research and Scalable, Efficient Systems

Author: Qingyun Wang

language: en

Publisher: Springer Nature

Release Date: 2025-06-30


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This book constitutes the proceedings of the Second International Workshop, AI4Research 2025, and First International Workshop, SEAS 2025, which were held in conjunction with AAAI 2025, Philadelphia, PA, USA, during February 25–March 4, 2025. AI4Research 2025 presented 8 full papers from 35 submissions. The papers covered diverse areas such as agent debate evaluation, taxonomy expansion, hypothesis generation, AI4Research benchmarks, caption generation, drug discovery, and financial auditing. SEAS 2025 accepted 7 full papers from 17 submissions. These papers explore the efficiency and scalability of AI models.