Md Alamgir Miah is an active interdisciplinary researcher at Los Angeles, USA. His research areas include Artificial Intelligence, Data Analytics, Management Information Systems, Healthcare Decision Support, Cyber Security, Energy Resilience, Cloud Security, and Digital Transformation. He earned his Master's Degree in Business Analytics at International American University, gaining a profound interest in AI-driven decision making, business intelligence and problem-solving using data.   His research has appeared in international conferences and journals on topics such as AI and Business Analytics, Predictive Analytics for Healthcare, Innovation in Cybersecurity, Resilience of Energy Infrastructure, Project Management Systems, and Machine Learning Applications. He has also contributed to intellectual property development through a UK registered design titled AI-Driven Cloud Security Computer. He has also won the Best Paper Presentation Award in ICCCNet-2025/AIR 2025 and has been an Editorial Board Member and Peer Reviewer for International Journals & Conferences. Currently, he is focused on the development of AI-powered decision systems for healthcare, business intelligence, critical infrastructures, and sustainable innovation.  

Abstract Title AI-Driven Decision and Analytics Systems for Smarter Healthcare, Energy Resilience, and Business Intelligence -    Abstract   From complex social, economic and technological challenges to risk management and decision making, AI and data analytics are no longer confined to the margins but are becoming central to the way organization’s function.  This presentation explores the role of AI-driven decision and analytics systems in improving healthcare decision support, strengthening energy infrastructure resilience, and enhancing business intelligence through data-driven management information systems. The focus is on the role of machine learning, predictive analytics, and MIS frameworks in enhancing forecasting, operational efficiency, and strategic decision-making in various industries.   Drawing from interdisciplinary research in AI, big data analytics, cybersecurity, healthcare analytics, energy resilience, and digital transformation, this presentation examines how intelligent systems can convert complex datasets into meaningful insights. It also takes into account the ethical, reliable, and secure practices of data when designing systems of analytics for real-world applications. Special focus is on leveraging AI and analytics to create public health improvements, plan for sustainable infrastructure, have workforce intelligence, and have organizational performance.   The presentation will demonstrate how data analytics based on AI is not just a technical tool, but a strategic bedrock for innovation, competitiveness and fact-based decisions. This combination of AI and management information systems (MIS) enables organizations to create more intelligent, adaptive, and resilient decision-support systems.