Editors: Aftab Ara, Hela Bensoltane

Decoding AI: Unleashing the Future of Business and Finance

eBook: US $49 Special Offer (PDF + Printed Copy): US $89
Printed Copy: US $64
Library License: US $196
ISBN: 979-8-89881-388-8 (Print)
ISBN: 979-8-89881-387-1 (Online)
Year of Publication: 2026
DOI: 10.2174/97988988138711260101

Introduction

Decoding AI: Unleashing the Future of Business and Finance examines the transformative impact of Artificial Intelligence on modern business and financial ecosystems. With a strong emphasis on innovation, risk management, ethical deployment, and predictive intelligence, the book offers a comprehensive view of how AI is reshaping sectors such as banking, insurance, accounting, fintech, and beyond.

Across twelve insightful chapters, the book traces the evolution of AI-driven transformation, from the emergence of banking in the metaverse and AI-enabled climate risk mitigation to fraud detection, underwriting, credit scoring, and accounting practices, with a special focus on emerging markets such as India. Later chapters explore fintech risk management, cross-sector predictive analytics, and the ethical challenges posed by generative AI. The concluding sections focus on trust, governance frameworks, workforce transformation, and the future trajectory of AI-powered organisations.

By blending academic depth with real-world relevance, this book equips readers with strategic, technical, and ethical perspectives needed to navigate AI-led digital transformation.


Key Features

  • - Real-world case studies supported by industry data (2019–2024)
  • - Covers emerging technologies, including Generative AI and blockchain
  • - Provides practical insights into AI-driven risk management and predictive analytics
  • - Ethical, regulatory, and governance perspectives for responsible AI adoption
  • - Discusses applications across finance, healthcare, marketing, and manufacturing

Target Readership:

Academics, students and professionals engaged in the digital transformation of business, finance, data science, and technology initiatives.

Preface

- Pp. i-v (5)
Aftab Ara, Hela Bensoltane
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List of Contributors

- Pp. vi

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Technology and Behavioral Factors Shaping Individual Investment Decisions: A TAM-Based Analysis

- Pp. 1-15 (15)
K. U. Jayalakshmi*, H. L. Chidananda

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AI's Role in Asset Pricing and Stock Market Prediction: A Narrative Literature Review

- Pp. 16-32 (17)
Anisha Thomas*

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AI in Financial Risk Prevention

- Pp. 33-47 (15)
Kishan Changlani*

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Transforming Financial Services: Artificial Intelligence Technologies in Loan and Insurance Underwriting

- Pp. 48-63 (16)
Anisha Thomas*

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Role of Artificial Intelligence in the Accounting Profession – A Study in India

- Pp. 64-84 (21)
Kishore Kumar Das, Aditya Prasad Sahoo*

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Metaverse-Driven Banking: Enhancing Digital Services in the Indian Banking Sector

- Pp. 85-100 (16)
Ajay Khurana, Shanul Gawshinde*

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Artificial Intelligence in Predictive Analytics

- Pp. 101-118 (18)
Afshan Hashmi*

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Trust in the Loop: Building and Maintaining Human Trust in AI Collaborative Systems

- Pp. 119-135 (17)
Aftab Ara*

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Ethical AI Implementation in Business: Challenges, Gaps, and Solutions

- Pp. 136-150 (15)
Aftab Ara*

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Future of Artificial Intelligence (AI) in Business

- Pp. 151-162 (12)
Aftab Ara*, Dash Swetapadma

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Subject Index

- Pp. 163-165 (3)
Aftab Ara, Hela Bensoltane
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