The evolution of manufacturing has reached a new paradigm with the emergence of Industry 5.0, which places an increasing emphasis on the collaboration between humans and Artificial Intelligence (AI) while prioritizing sustainability and resilience. Unlike Industry 4.0, which focuses on automation, cyber-physical systems, and process optimization with AI, Industry 5.0 seeks to integrate advanced technologies with human knowledge and expertise, creating manufacturing systems that are not only automated and intelligent, but also adaptable, explainable, and human-centric. This paper discusses Data-driven and knowledge-based approaches in the context of manufacturing, highlighting their limitations and contributions. By analyzing the strengths and weaknesses of these two paradigms, the paper aims to shed light on the challenges and opportunities of the convergence between AI and human knowledge, raising the idea of a more balanced, sustainable and human-centred manufacturing model in line with the principles of Industry 5.0.