OCT - DEC 202219CHEMICAL INDUSTRY REVIEWCLOUD INTELLIGENCEFUELS MANUFACTURING GROWTHBy Caglayan Arkan, Vice President, Global Strategy and Sales Lead, Manufacturing & Supply Chain, Microsoft [NASDAQ:MSFT]When a multinational oil company needed to predict equipment failure in its wells, it applied machine learning from Microsoft to existing data, and within four hours was able to identify six wells in need of attention. The company called the sites--and learned that the predictions were so accurate that four of the six wells were already in system failure. When Swedish packaging and processing company Tetra-Pak wanted to reduce downtime, improve performance and enhance customer service at 100,000 sites in 140 countries around the world, it connected its systems to the cloud. After a six-month trial supporting 11 customer lines, downtime was eliminated by up to 48 hours per line, at a savings of 30,000 Euros per customer. These are real-world examples of digital transformation in manufacturing. Some businesses are farther along this process than others, but all businesses must make this change in order to flourish--perhaps even to survive--in the current Caglayan ArkanCXO INSIGHTS
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