Volume 3: Business Sustainability and Artificial Intelligence Applications Hamdan, Allam. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text sz 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access XV, 777 p. 141 illus., 119 illus. in color. online resource. This book focuses on the symbiotic relationship between sustainable practices and cutting-edge AI technologies, offering insights into how businesses can thrive in a rapidly evolving landscape. This book discovers how AI is revolutionizing sustainability efforts, driving efficiency, and fostering a greener tomorrow. From smart energy management to ethical supply chain practices, this book is a guide for organizations looking to harness the power of AI for a sustainable future. Engaging, informative, and forward-thinking, this book is essential reading for leaders shaping the future of business. Artificial Intelligence Applications -- A Dynamic Look Ahead Approach to Sorting in a Big Data Age -- CMMI in Practice Enhancing Organizational Performance Through Holistic Approaches -- An Impact of Artificial Intelligence Techniques by using SMO Algorithm with Several Kernels in Privacy Preservation of Medical Data -- A Research Proposal on Leveraging Market Agility through AI-Enabled Capabilities in the United Arab Emirates (UAE) -- Analyzing the Impact of Investor Sentiment on S&P 500 Prices Using Deep Learning Models -- Cultural Transformation for Software Firms in Bangladesh: Overcoming Challenges with Hybrid Project Management -- Leveraging Business Intelligence for Enhanced Financial Performance: The Mediating Effect of Supply Chain Integration -- Digital Transformation Challenges in the Agricultural Industry at Indonesian Agri-Business Company.-Harnessing internet of things (iot) for operational efficiency in retail stores: innovations, benefits, and challenges -- Impact of Artificial Intelligence and Machine Learning in Recruitment: Transformative shift in the traditional methods of hiring -- Application of Artificial Intelligence in Business Decision Making Insight from Literature Review.-Enhancing Digital Transformation in Higher Education: a Study on Cybersecurity Awareness among University Students in Jordan with a Case Study at Middle East University.-Exploring the Potential Applications of Artificial Intelligence in the Agriculture Sector: case study Tabuk District -- Factors Affecting the Adoption of Artificial Intelligence in Auditing Based on the UTAUT Model, IT Infrastructure as a Moderating Variable -- A Meta-Analysis of Credit Card Fraud Detection Using Machine Learning Techniques. edited by Allam Hamdan. Engineering Data processing Computational intelligence Artificial intelligence Data Engineering Computational Intelligence Artificial Intelligence TA345-345.5 9783031736322 https://doi.org/10.1007/978-3-031-73632-2 https://doi.org/10.1007/978-3-031-73632-2 241218 20251030114623.0 978-3-031-73632-2