Strategic AI Integration in Business Intelligence

• #1. AI and Machine Learning Integration in Modern Business Intelligence
• #2. Database Optimization Techniques for Efficient BI Queries
• #3. Integration of Artificial Intelligence and Machine Learning in Business Intelligence
• #4. Next-Generation BI Adoption: Strategies to Overcome Organizational and Technical Barriers
• #5. AI-Driven Threat Detection in Business Intelligence Systems
• #6. Digital Twins and BI: Synchronizing Virtual Models With Real-Time Business Processes
• #7. Future Trends in Business Intelligence in the Jordanian Industry
• #8. Role of Emerging Technologies Like Blockchain and IoT in Business Intelligence
• #9. The Role of AI and ML in Real-Time Business Intelligence: A Systemic Framework for Predictive Decision-Making
• #10. The Role of Business Intelligence in Digital Transformation and Competitive Advantage
• #11. AI-Driven Cyber Threats: Behavioral Analysis and Strategic Defenses
• #12. The Ethical and Legal Dimensions of Blockchain: A Comprehensive Analysis of Global and UAE Perspectives

Dr. Abdelraouf M. Ishtaiwi is a highly knowledge-achieving academic with over 22 years of experience in teaching and research in artificial intelligence (AI). He obtained a First-Class Honor and a Master's degree from a well-reputed university, Griffith University in Brisbane, in 2001 and 2007, respectively. He contribution to the AI field is enormous.

Ahmad Al-Qerem graduated in applied mathematics and M.Sc. in Computer Science at the Jordan University of Science and Technology and Jordan University in 1997 and 2002, respectively. After that, he was appointed as full-time lecturer at the Zarqa University. He was a visiting professor at Princess Sumaya University for Technology (PSUT). He obtained a Ph.D. from Loughborough University, UK. His research interests are in performance and analytical modeling, mobile computing environments, protocol engineering, communication networks, transition to IPv6, machine learning and transaction processing. He has published several papers in various areas of computer science. Currently, he has a full academic post as a full professor at computer science department at Zarqa University-Jordan.

Mohammad Al-Khaldy is an Assistant professor of Business Intelligence and Data Analytics at University of Petra, Jordan. He completed his PhD in Atrificial Intelligence and Data Science for the University of Hull -United Kingdom - 2017. Alkhaldy's research interests include data analytics, machine learning, predictive analytics, NLP, and decision support systems. His research has been published extensively in academic journals and conferences. Alkhaldy taught a variety of courses in Artificial intelligence and business intelligence, including Data Mining, Business Analytics, Computer Programming, Intelligent business systems, Data Visualization, and machine learning. Alkhaldy is a member of Jordan Computers Society, and Arab Robotics & AI Association. He also a reviewer for several other academic conferences and journals.

Mohammad Alauthman is an Associate Professor in the Department of Information Security at the Faculty of Information Technology, University of Petra, Amman, Jordan. His research interests include network security, intrusion detection systems, and the application of artificial intelligence techniques, including machine learning and deep learning, to botnet and DDoS detection, spam filtering, IoT security, and network traffic classification. He received his Ph.D. in Computer Science from Northumbria University, United Kingdom, in 2016. He has been awarded several research grants supporting AI-driven intrusion detection systems and international research collaboration. He has also contributed to a number of Erasmus+ projects, including BITTCOIN-JO, RL4Eng, Pro-GREEN LABs, and COMMO, with a focus on technology transfer, remote engineering education, sustainability, and academic cooperation across Mediterranean and Balkan institutions.