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AI integration for business sustainabilityfor a resilient future /

Record Type:	Electronic resources : Monograph/item
Title/Author:	AI integration for business sustainabilityedited by Aziza Al Qamashoui, Nasser Al Baimani.
Reminder of title:	for a resilient future /
other author:	Al Qamashoui, Aziza.
Published:	Singapore :Springer Nature Singapore :2025.
Description:	xi, 434 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	BusinessData processing.
Online resource:	https://doi.org/10.1007/978-981-96-3464-4
ISBN:	9789819634644$q(electronic bk.)

AI integration for business sustainabilityfor a resilient future /
AI integration for business sustainabilityfor a resilient future /[electronic resource] :edited by Aziza Al Qamashoui, Nasser Al Baimani. - Singapore :Springer Nature Singapore :2025. - xi, 434 p. :ill., digital ;24 cm. - Contributions to environmental sciences & innovative business technology,2731-8311. - Contributions to environmental sciences & innovative business technology..

Possible Risks and Ethical Considerations of Artificial Intelligence considering Sustainability -- Leveraging IT Governance for Sustainable Fintech Development in an AI-Enhanced Omani Business Landscape -- The Role of Emerging Artificial Intelligence-Enabled Technologies in Enhancing Sustainable Optimized Business Performance Growth -- Transforming Sustainable Finance: The Impact of Artificial Intelligence.

This book offers a comprehensive exploration of artificial intelligence (AI) integration for business sustainability for a resilient future. Delving into the dynamic interplay between AI and sustainable business practices, it serves as a vital guide for professionals, entrepreneurs, policymakers, and researchers seeking to embrace innovative solutions to drive sustainability initiatives forward. From its inception, the book sets out to showcase the critical role that AI plays in reshaping modern business landscapes towards sustainability. It extensively covers various facets with foundational understanding of sustainability and AI evolution and detailed insights into successful AI integration in industries such as agriculture, education, energy, manufacturing, and healthcare. Through real-world case studies and practical strategies, it illuminates how AI can optimize operations, mitigate environmental impact, and foster social responsibility. The book addresses the core challenges faced by businesses in implementing AI-driven sustainability solutions. It navigates through adoption barriers, regulatory concerns, and ethical considerations, offering actionable advice for responsible AI integration. Furthermore, it presents future trends and emerging technologies, empowering readers to anticipate disruptions and utilize innovative AI solutions.

ISBN: 9789819634644$q(electronic bk.)

Standard No.: 10.1007/978-981-96-3464-4doiSubjects--Topical Terms:

199085
Business
--Data processing.

LC Class. No.: HF5548.2

Dewey Class. No.: 650.028563

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