These 5 managers have (already) adopted artificial intelligence, they tell

“We have reduced our energy consumption” Bruno Valenti, technical assistance and coordination manager at SKF

“Our factory in Saint-Cyr-sur-Loire, which manufactures ball bearings, struggled to reduce its energy consumption linked to the fact that our machines (which take too long to be stopped and restarted) must remain on standby outside of the phases. To improve our energy performance by integrating this constraint, we therefore bet on artificial intelligence. The solution provided by Energiency helps us to control our consumption and track its variability compared to an ideal modeling given by history. , modeling that varies depending on the part manufactured.Every ten minutes, the system gives us information, which allows us to react quickly and get back in the nails if necessary by adjusting our machines as best as possible.

Since the operational implementation of this tool in January 2019, the sectors concerned have reduced their energy consumption by – 5.9% in the first half of 2019 compared to the same period of the previous year. This result is much higher than expected (- 3.6%). One can however hesitate to resort to AI because this technology has a cost. I therefore recommend to come there once the energy consumption has been optimized with the onboard human resources, expertise and internal experience, which we have done. We were then able to note that a significant margin of progress remained and that this justified requesting AI to go further. It took us a year to recoup our investment in AI. “

“Thanks to this assistance, operators are less stressed” Fabrice Deladiennée, industrial director of the Norske Skog Golbey paper mill (Vosges)

“We converted to AI in 2006 to optimize our production line. We work with recycled raw materials and deposits of impurities forced too often

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“data-reactid =” 25 “>Cannes supermarkets take the temperature of their customers
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