Artificial Intelligence in Business

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Artificial Intelligence in Business

Applications and Ethical Considerations in the Digital Age. Proceedings of the 19th SICB "Artificial Intelligence in Business", Volume 1

Databases Artificial intelligence

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Collection: Lecture Notes in Networks and Systems

Language: English

Published by: Springer

Published on: 4th October 2025

Format: LCP-protected ePub

ISBN: 9783031966224


Introduction

This book covers results of the 19th Scientific Annual International Conference for Business SICB: Artificial Intelligence in Business. This collection of 30 peer-reviewed papers from the 19th SICB International Conference presents vital research on AI's integration into business practices. Through six comprehensive sections, the volume examines how AI is transforming multiple business domains:

AI in Accounting and Auditing

Explores automation's impact on auditing roles, internal quality, and financial reporting accuracy.

AI in Banking and Insurance

Investigates technologies revolutionizing financial services, from drones in insurance to blockchain in banking systems.

AI in Educational Environments

Demonstrates how intelligent systems enhance learning experiences and professional development.

AI Integration with Emerging Technologies

Analyzes the convergence of AI with explainable knowledge systems, metaverse applications, and human-centered workplace designs.

AI for Workflow Optimization

Provides insights into reinforcement learning for business processes and supply chain efficiencies.

AI's Impact on Financial Performance

Presents research on how AI-enhanced customer experiences translate into tangible outcomes.

What distinguishes this volume is its balanced approach, which addresses both technological capabilities and organizational, ethical, and human factors that determine successful implementation. The diverse methodological approaches provide a multifaceted perspective on AI's business applications.

For organizations navigating digital transformation, these proceedings offer theoretical foundations and practical guidance toward responsible AI adoption that enhances competitive advantage while addressing emerging ethical challenges, making it an essential resource for researchers, business leaders, and policymakers.

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