Toufik Mzili, Mohamed Hanine, Zahra Oughannou, Widi Aribowo, Nebojsa Bacanin
Applied AI transforms the design, management, and optimization of sustainable and intelligent systems across industries. By integrating advanced data analytics, machine learning, and automation, applied AI enables more efficient use of resources, reduces environmental impact, and supports smarter decision-making in areas like energy, transportation, agriculture, and urban development. These systems can adapt to dynamic conditions in real time while predicting future challenges, effectively addressing global sustainability goals. As the demand for eco-friendly solutions grows, applied AI stands at the forefront of innovation, bridging the gap between technological advancement and environmental responsibility. Applied AI for Sustainable and Intelligent Systems explores how applied AI techniques can be used to design and optimize systems that are intelligent and environmentally sustainable. It examines the role of data-driven models, automation, and predictive analytics in improving efficiency, reducing resource consumption, and supporting long-term ecological and economic resilience. This book covers topics such as data science, cybersecurity, and sustainable development, and is a useful resource for business owners, engineers, academicians, researchers, and scientists. Copyright © 2026 by IGI Global Scientific Publishing. All rights reserved. No part of this publication may be reproduced, stored or distributed in any form or by any means, electronic or mechanical, including photocopying, without written permission from the publisher. Use of this publication to train generative artificial intelligence (AI) technologies is expressly prohibited. The publisher reserves all rights to license its use for generative AI training and machine learning model development.
Chouaib Doukkali University, Morocco; Ibn Zohr University, Morocco; Surabaya State University, Indonesia; Singidunum University, Serbia
