Dr. Hanan Ahmad Yahya Aldowah is a Senior Lecturer at Universiti Sains Malaysia (USM), specializing in Artificial Intelligence, Machine Learning, Data Analytics, Educational Technology, Learning Analytics, Business Analytics, and Web Applications. She earned her PhD in Educational Data Mining and Technology-Enhanced Learning from USM in 2023, where her thesis was nominated for the Best Thesis Award. Dr. Aldowah has more than seven years of teaching and research experience across Malaysia and Yemen, teaching courses in data analytics, visualization, predictive analytics, programming, databases, web development, and educational technology. Her research focuses on applying AI, IoT, data mining, learning analytics, and emerging technologies to education, healthcare, business, and management. She has published extensively in high-impact journals, book chapters, and international conferences, and has reviewed over 100 manuscripts for peer-reviewed journals and conferences. Her contributions have been recognized through multiple scholarships, fellowships, research grants, and publication awards. Dr. Aldowah is committed to advancing innovative, inclusive, and sustainable learning through interdisciplinary research and technology-driven solutions.

AI-Powered Decision Intelligence: The Future of Organizations, Education, and Society Artificial Intelligence (AI) is transforming the way decisions are made across organizations, educational institutions, and society. The increasing availability of large-scale data, combined with advances in machine learning, predictive analytics, and intelligent systems, has created new opportunities to improve decision quality, operational efficiency, and strategic planning. Traditional decision-making approaches often rely on human judgment and historical experience, which may be insufficient in increasingly complex and data-intensive environments. As a result, AI-powered Decision Intelligence has emerged as an integrated approach that combines artificial intelligence, advanced analytics, and human expertise to support evidence-based and timely decisions. By enabling the identification of hidden patterns, prediction of future outcomes, and evaluation of alternative actions, AI-powered Decision Intelligence supports decision-making across a wide range of domains, including business, education, healthcare, and public administration. Intelligent systems are increasingly used to optimize resources, enhance performance, improve stakeholder experiences, and support innovation. The growing adoption of AI-driven decision support is reshaping organizational processes and creating new opportunities for sustainable development and competitive advantage. Despite its potential benefits, the integration of AI into decision-making processes raises important concerns related to transparency, explainability, privacy, algorithmic bias, and governance. Addressing these challenges requires a human-centered approach that balances technological capabilities with ethical responsibility and accountability. As intelligent technologies continue to evolve, AI-powered Decision Intelligence is expected to play a central role in shaping the future of organizations, education, and society by enabling more effective, informed, and responsible decisions.