Media Expertise and Areas of Interest: Artificial Intelligence, Machine Learning, Information Technology Management, Data Science, and Data Analytics
Biography: Robbie Nakatsu, Ph.D., is a professor of information systems and business analytics whose work focuses on AI and machine learning, data science and analytics, IT management, and database management systems. He has taught undergraduate and graduate courses in database management systems, business information technology, technology management, and artificial intelligence, and is known for making complex technical concepts accessible to broad audiences.
Nakatsu is the author of Diagrammatic Reasoning in AI (2010) and is currently writing a new book, Principles and Practices of Data Science and Machine Learning with Python, which integrates theory, practical methods, and interpretability techniques for researchers, students and professionals seeking to use modern analytics and AI effectively.
His research has been published in leading computer science and IS journals, including Communications of the ACM, Information & Management, IEEE Transactions on Systems, Man and Cybernetics, IEEE Intelligent Systems, Journal of Information Science, and the International Journal of Intelligent Systems. Earlier in his career, Nakatsu gained industry experience as a consultant in the MIS Department at PepsiCo, a senior research analyst with CBS Records, and an analyst in the Information Systems Department at Morgan Stanley.
A frequent commentator on how organizations can adopt and manage AI, machine learning, and data-driven technologies, Nakatsu contributes to ongoing public and academic discussions through his research, teaching, and professional service.