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AI integration for business sustainabilityfor a resilient future /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	AI integration for business sustainabilityedited by Aziza Al Qamashoui, Nasser Al Baimani.
其他題名:	for a resilient future /
其他作者:	Al Qamashoui, Aziza.
出版者:	Singapore :Springer Nature Singapore :2025.
面頁冊數:	xi, 434 p. :ill., digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	BusinessData processing.
電子資源:	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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