How to adapt your production lines recipe in real time with AI to guarantee the highest quality

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This variation of production quality often depends on the heterogenous nature of the raw materials, even in the same batch, and in variables that cannot be controlled by the operators, such as the exterior temperature, the humidity, etc. Still, can't we do anything when rule-based systems and classic engineering cannot compensate in real time for these conditions? "To obtain a constant high quality, companies can either invent new predefined recipes, or must dynamically change the existing recipe", analyzes Jean-Philippe Hugo, CEO of Wizata. "Nowadays, recipes are highly complex and traditional methods aren't enough to stay ahead of the competition: your engineers and operators need to be assisted by a new set of eyes, powered by an artificial intelligence that takes advantage of the predictive power in the data to know in advance the final product quality, and how to select the optimal parameters to achieve a better result."

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