Practical AI and Data Skills for science and engineering: what makes an impact

This talk focuses on how AI and data science can be effectively applied to solve real problems in scientific and engineering contexts. It will cover practical examples of using machine learning for modeling and prediction, automating data analysis workflows, improving experimental design through data-driven insights, and communicating results clearly with visualization tools. Attendees will learn which AI and data skills are most valuable for research and industry, how to choose the right methods for their data, and what approaches truly make an impact in advancing innovation and efficiency. 300 Ouellette Ave, University of Windsor- Advanced Hub, Windsor, Ontario, Canada