David Obembe, a recent graduate from the University of Tartu, dives into his Master’s thesis on blending large language models (LLMs) with process mining tools. He explains how process mining can reveal inefficiencies using event logs, and discusses the potential of LLMs to enhance these analyses. David shares insights on methodologies for transforming raw data into actionable insights, the role of Retrieval Augmented Generation (RAG), and challenges like prompt engineering and hallucination in AI models.