International Paper implemented Altair AI Studio, AI Hub, and Panopticon to apply machine learning across its global paper manufacturing operations. The analytics team focused on improving product quality, reducing waste, optimizing energy usage, and enabling predictive maintenance. By building explainable AI models, engineers could predict key quality metrics such as porosity and fouling behavior in recovery boilers. Real-time dashboards provided plant operators with actionable recommendations on process parameters including temperature, water content, and machine speed. The integrated system ingests sensor data from multiple sources and delivers KPI insights instantly. As a result, International Paper achieved improved product consistency, reduced material and energy waste, and higher op

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