Data analysis and emerging technologies: opportunities in the AI era

Abstract

Talk on the evolution of data analysis, from the scientific method and personal computing to today’s artificial intelligence. It explains what AI is, its subfields (machine learning and deep learning), large language models and the open- vs closed-source debate, together with their limitations and challenges. It presents tools, courses and recent cases such as Project Astra, Project Mariner, Isomorphic Labs, Stargate, GenCast, NotebookLM and AI agents as opportunities for decision making and innovation.