Prompt Engineering for Accounting and Finance
Springer International Publishing (Verlag)
978-3-032-11194-4 (ISBN)
- Noch nicht erschienen - erscheint am 02.06.2026
- Versandkostenfrei
- Auch auf Rechnung
- Artikel merken
This textbook is the first resource specifically designed to equip business students in accounting and finance with a systematic and practical understanding of artificial intelligence (AI). Recognizing the current gap where business students often lack structured guidance on applying AI to their specific professional challenges, this book provides a comprehensive, step-by-step framework to effectively integrate AI into accounting and finance workflows. The textbook thoroughly addresses key areas, including foundational principles of prompt engineering, advanced techniques such as zero-shot, few-shot, chain-of-thought, and multimodal prompting, as well as strategies for handling structured data and managing task-oriented AI workflows. Emphasis is placed on robust evaluation practices, incorporating quantitative and qualitative assessments, alongside essential ethical considerations such as bias reduction, misinformation prevention, model transparency, and data confidentiality. By offering clearly defined frameworks, best practices, and detailed instructional guidance, this book serves as an indispensable resource for developing dedicated AI-focused courses in business schools. It uniquely empowers students to confidently harness AI tools within their professional contexts, ensuring they uphold rigorous ethical standards while achieving accuracy and reliability in financial and accounting tasks. As the singular resource of its kind, this textbook directly addresses the pressing educational need to prepare business students effectively for an increasingly AI-driven professional landscape.
Sunil Kumar is an Assistant Professor of Accounting at the Mario J. Gabelli School of Business, Roger Williams University. He earned his PhD in Business Administration with a concentration in Accounting and Finance from the University of Massachusetts Boston and an MBA from Boston College. A Certified Public Accountant (CPA), Dr. Kumar is a leading expert in integrating advanced technology and analytics within accounting and finance education and research. He authored the widely acclaimed book "Python for Accounting and Finance," which serves as a foundational resource for academics and professionals seeking to apply Python programming, Machine Learning, data analytics< and Artificial Intelligence in accounting and finance contexts.
Poojan Patel is PhD Scholar at University of Massachusetts, Boston. Patel's research portfolio is distinguished and rapidly growing. He is actively engaged in multiple high-impact projects spanning generative AI, prompt engineering, corporate disclosure analytics, climate-related financial risk, and interdisciplinary applications of AI across capital markets. His research has been presented at top-tier conferences-including the Journal of Banking and Finance's Generative AI Conference-and has contributed to pioneering discussions on AI washing, ESG disclosure, and regulatory risk assessment using large language models (LLMs).
Atreya "Chuck" Chakraborty is a Professor of Finance and Director of the PhD Program at the College of Management, University of Massachusetts Boston. A graduate of Boston College, where he earned his PhD in Finance, Dr. Chakraborty has built a distinguished academic career over the past three decades, combining deep expertise in corporate finance, economic value creation, financial strategy, and the integration of artificial intelligence into financial analytics and education.
CHAPTER 1:INTRODUCTION TO AI IN ACCOUNTING AND FINANCE.- CHAPTER 2: ACCOUNTING AND FINANCE ESSENTIALS.- CHAPTER 3:FUNDAMENTALS OF PROMPT ENGINEERING.- CHAPTER 4:FOUNDATIONS OF PROMPTING STRATEGIES.- CHAPTER 5:ENHANCING AI REASONING.- CHAPTER 6:KNOWLEDGE-DRIVEN PROMPTING.-CHAPTER 7: TASK-ORIENTED PROMPTING.- CHAPTER 8:ADAPTIVE AI.- CHAPTER 9:AUTOMATING AND OPTIMIZING PROMPTS.- CHAPTER 10:MULTIMODAL PROMPTING.- CHAPTER 11:STRUCTURAL PROMPTING.- CHAPTER 12: EVALUATING AI-GENERATED SOLUTIONS.- CHAPTER 13:ETHICAL AND PRACTICAL CONSIDERATIONS.
| Erscheinungsdatum | 29.11.2025 |
|---|---|
| Zusatzinfo | Approx. 500 p. 100 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Wirtschaft ► Betriebswirtschaft / Management ► Finanzierung | |
| Wirtschaft ► Betriebswirtschaft / Management ► Rechnungswesen / Bilanzen | |
| Schlagworte | Accounting AI textbook • AI and Accounting Workflows • AI and Prompt Design in Business Education • AI Applications in Accounting Education • AI-Driven Financial Reporting • AI for Accountants • AI for Financial Analysts • AI in Accounting Education • AI in Finance Education • AI Strategies for Financial Professionals • AI Tools in Auditing • Artificial Intelligence Accounting Principles • Ethical AI in Accounting • Finance AI textbook • Generative AI Financial Analysis • Integrating AI in Finance Courses • Prompt Engineering Accounting • Prompt Engineering Business • Prompt Engineering Finance • Prompt Engineering in Business Education |
| ISBN-10 | 3-032-11194-3 / 3032111943 |
| ISBN-13 | 978-3-032-11194-4 / 9783032111944 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
