The rise of Generative AI challenges the role of traditional machine learning (ML) by introducing powerful, prompt-driven models for automation and content generation. However, despite its flexibility, GenAI lacks the explainability, security, and cost efficiency that many real-world applications require. This presentation compares both paradigms, showing that traditional ML remains essential for structured, high-stakes, and interpretable tasks. It argues that the future of AI is not a replacement but a hybrid approach — combining the reasoning power of ML with the adaptability of GenAI to create secure, explainable, and economically sustainable intelligent systems.
Oussama Ennafii
CIH Bank
Oussama Ennafii is the Chief Data Officer at CIH Bank, leading the bank’s data and AI transformation strategy. With a PhD in Computer Vision from Université Paris-Est and degrees from École Polytechnique and École Normale Supérieure (MVA), he brings deep expertise in applied mathematics, machine learning, and large-scale AI systems. Before joining CIH Bank, he worked in France on real-time computer vision and 3D modeling applications for smart cities and industrial sites. His work bridges academic research and practical innovation in artificial intelligence and data-driven systems.