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.
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.
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