According to Testin, the company is automating key technological processes by successfully integrating machine learning and computer vision solutions. These technologies are already working automatically in key production units.
He noted that the current application of AI is only the first step in developing new technologies at the company. Additional sensors and cameras are gradually being introduced to collect more data and enable larger, more efficient solutions.
The introduction of AI not only increases the company’s economic impact, but also contributes to its technological independence. According to Testin, these solutions have already proven themselves in practice and contribute significantly to the company’s overall EBITDA.
Source: Ferra
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