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Case Studies
Beyond generative AI: how Machine Learning enters industrial processes
Machine learning enables production data to be transformed into useful information for recognising defects, identifying anomalies and adjusting the process. Supervised learning, unsupervised learning and reinforcement learning offer different possibilities depending on the objectives and the data available. Integrating them requires combining algorithmic expertise with an understanding of physical phenomena in order to meet the plant’s specific needs.
