Biography:
Hind LAMHARHAR is an AI Strategy Leader, Professor, and researcher with over 20 years of experience across public administration, academia, and research. Her expertise spans applied machine learning, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and ML/LLMOps.
Her professional focus is evolving towards AI industrialization, bridging the gap between experimentation and the deployment of integrated, scalable, and sustainable AI solutions. She advocates for a business-oriented approach to AI transformation, emphasizing institutional readiness, shared technological capabilities, and alignment with organizational objectives. Through her teaching experience at INSEA and École High-Tech, she also contributes to developing AI skills and bridging academic knowledge with practical applications. Her approach is grounded in responsible AI, transparency, explainability, and sustainable innovation.
