Artificial Intelligence for Data Science in Theory and Practice

Introduction.- Part I: Government services.- Intelligent chat bots for online customer service.- Improved services delivery using AI.- Intelligent policing: physical crime and cybercrime prevention and detection.- Part II: Healthcare Services.- Breast cancer diagnosis.- IoT Pharmaceutical management.- Biomedical Text conversion algorithms.- Part III: Education.- Machine learning in teaching and assessment of students.- Prediction of student performance.- Training the next generation of AI students.- Part IV: Tourism and hospitality.- Landmark recognition.- Recommender system for tourists.- Part V: AI Ethics.- Ethics of facial recognition.- Ethics of robotic services.- Bias issues and misapplication of machine learning.- Conclusion.

Mohamed Alloghani is an advisor (Research and Capacity Building) for the UAE's Minister of State for Artificial Intelligence, Digital Economy and Remote Work Applications at UAE Prime Minister's Office. Dr. Alloghani is the first UAE national graduated with a Doctor of Philosophy - PhD focused on Artificial Intelligence from Liverpool John Moores University. Dr. Alloghani has 14 years of working experience in various public organizations such as oil and gas industry, judicial/ public prosecution, and healthcare sector. As part of his work experience and working on strategic national missions, Dr. Alloghani was delegated by Minister of State for Artificial Intelligence and appointed by the Director-General of UNESCO to represent UAE in the Ad Hoc Expert Group (AHEG), in March 2020. The group comprised of 24 renowned specialists selected from the world. He was the head of UAE delegation G20 Digital Economy Task Force (DETF) in Feb 2020. Dr. Alloghnai research interest's focuseson artificial intelligence, research and development, software engineering and project management. He authored and co-authored several scientific papers in regional and international in refereed high-impact journals and conferences. He published 51 peer-reviewed scientific papers.

Christopher P. Thron is associate professor of mathematics at Texas A&M University-Central Texas. Previously he was a communications systems engineer at NEC, Motorola, and Freescale Semiconductor. He has also held visiting positions at multiple universities in Cameroon, China, Nigeria, and Sudan.  His teaching and research have been supported by grants from the U.S. Fulbright Program, the International Mathematicians Union, and the U.S. Air Force.  His research focuses on the application of computational mathematics and statistics (including machine learning) to various fields such as algorithm design, wireless communications systems, epidemiology, social sciences, and