This is possible due to the predictive maintenance of equipment. The implementation of artificial intelligence (AI) technologies can reduce unplanned downtime in milk processing by 30-50% through predictive maintenance of equipment, said the Director General of Health & Nutrition (H&N, formerly "Danone Russia") Jakub Zakriev to RIA "Novosti". According to him, "in the dairy industry, this is measured in tens of hours of prevented shutdowns and a reduction in defects on filling and packaging lines." At H&N, Zakriev added, video analytics of employee work has been implemented at one of the key stages – the acceptance of milk raw materials. "This reduces the risks of both fraudulent actions and safety violations," he noted. "Also, a number of projects are under development to introduce smart vision in filling workshops, which will identify defects and instantly sort them," the company's CEO reported. Zakriev believes that there are systemic prerequisites for scaling AI and machine ...