International Paper adopts AI-assisted analytics
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It's great to know what you're looking at and what's happening, but it's always better to get those views and context faster. For instance, International Paper in Memphis, Tenn., recently started exploring how its 15 U.S. containerboard mills could migrate from traditional manual reporting and data movement to delivering context-driven and scalable insights. It began by conducting a trial of Seeq Intelligence software, including some of its most recent, artificial intelligence (AI)-based innovations, such as Agent Q, Agent Builder and Insight Boards to gain insights from its data more quickly, make them more easily available to its users, and scale them out. The trial consisted of an asset health monitoring project that included production areas, sub-areas, instrumentation and other components, and it used principal component analysis (PCA) inputs for anomaly detection. "We didn't have a problem. We had an opportunity because we've already been using Seeq Workbench software to create analyses, formulas and modeling, as well as reporting that requires data to be moved to Power BI, Organizer and Datalab software to carry out other reporting and presentation functions," says Cameron Cox, data scientist on International Paper's cost innovation and remote analytics team, which supports the company's more than 400 manufacturing facilities and approximately 37,000 employees...
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